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Vivek Bharathi Muruganandam

Vivek Bharathi Muruganandam hosts The AI People, a talk show featuring conversations with AI and security leaders, and co-hosts discussions on AI trust and governance. Their posts also describe their work as a principal product manager in the technology industry.

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At a glance

Useful for senior peer discussions on AI trust, governance, and security, with interviews and roundtables, not broad reach.

Best for

AI governance platform in regulated industries wanting a small executive roundtable or conference interview series.

Not for

Mass-registration webinars, live product demos, lead-generation targets, or broad marketing audience campaigns.

Key takeaways

  • Four-chair framework sets out what CMO, CIO, CFO and CISO each need from enterprise AI.
  • Governance gaps can become attack surfaces, not just compliance gaps.
  • The AI Trust Table is small and approval-only, not a mass-registration format.

Check first: Confirm audience demographics, event results, commercial terms, co-host role, guest list, and filming or publishing permissions.

Main ideas
Governance is a design input, not a cleanup step · Four executives, four things they will not trade away · An AI system without governance is an attack surface
Audience
9,649 LinkedIn followers
Read first
What RSA Conference 2026 revealed about AI in security
Ways to work together
Co-hosted AI trust roundtable · Boardroom-style session on deploying AI in regulated industries · Executive interview slot on The AI People
Sources for this section

What they are known for

Vivek Bharathi Muruganandam hosts The AI People, a talk show featuring conversations with AI and security leaders, and co-hosts discussions on AI trust and governance.

  • They connect enterprise AI adoption to practical questions of accountability, safety, security, and business approval.
  • Their interviews, event reflections, and examples of cross-functional collaboration will interest readers looking at how organizations can put AI to work responsibly.

Vivek makes AI governance tangible by showing how it affects real decisions.

  • In a discussion of enterprise marketing AI, the four-chair framework sets out what the CMO, CIO, CFO, and CISO each need: on-brand results, reliable performance, manageable costs, and control of customer data.
  • The point is practical: bring governance into the decision early, rather than letting security review become a late-stage obstacle.

The same focus on deployment shapes a proposed roundtable on physical AI in regulated industries.

  • Its sequence—from building a safety case and threat model to testing a short trust pitch and discussing liability—shows how trust must be demonstrated to the people who approve, buy, and insure a system.
  • At Black Hat, they extend that argument to cybersecurity: governance gaps can become attack surfaces.

They also use interviews and event recaps to bring practitioners’ perspectives into the conversation.

  • The RSA Conference interviews explore AI’s effects on security operations and enterprise practice; a separate conference recap draws out themes including agent risks, cross-functional security, and integrated platforms.
  • Beyond governance and security, a Stanford–IBM student-project post illustrates their interest in how partners, technology, and talent can combine to develop industry solutions.
  • Together, the posts offer a practical lens on AI adoption, from boardroom trade-offs to security and ecosystem work.
Sources for this section

Ideas and priorities

Vivek Bharathi Muruganandam’s recurring argument is that AI adoption succeeds or fails on trust and governance, not model capability.

Read more

Across posts about the interview show, The AI People, and the small AI Trust Table discussions they co-host, the same claim returns: governance gets a seat last, after the contract is signed, and that is where enterprise AI deals stall in security review.

  • Muruganandam argues for bringing CISOs and compliance owners in at design time, uses a four-executive trade-off among taste, performance, cost and control as the working model, treats missing governance as an attack surface rather than a paperwork gap, and favours small peer-only tables over panels.
  • The published work consists mostly of interviews with named security and AI leaders at conferences, summarised into themes, alongside a thread on partner ecosystems and talent.

Governance is a design input, not a cleanup step

Muruganandam argues that enterprise AI deals rarely die in the demo.

Read more

They die in compliance and security review.

  • Teams that give governance a seat from the start don’t move slower; they launch faster because nobody has to re-litigate the deal in a security review six months later.
  • The alternative is treating compliance as a tax rather than an advantage.

The Secure Physical AI session announcement sets out what deployment requires in a regulated setting.

  • A robot in a GxP lab, a surgical assist device or an autonomous inspection system at a utility needs approval from a CISO, a quality or regulatory lead, a safety engineer, procurement and sometimes an insurer.
  • Muruganandam contrasts October’s calendar of product, funding and scaling stages with a less-discussed step: earning enough trust to deploy.
  • The post describes co-host Deepali Gosain as having led AI and digital platforms in FDA-regulated and GxP environments at Oracle and Thermo Fisher Scientific, framing the session around both governing AI and getting it shipped.

Read original · Original 2 · Original 3

Four executives, four things they will not trade away

The recurring model: every large enterprise AI investment means negotiating among a CMO who wants output good enough to put the brand’s name on, a CIO who wants performance and stack fit at scale, a CFO who wants a forecastable run cost and clear return, and a CISO who wants proof that data handling and controls hold up.

Read more

Nobody can maximise all four, and arguments get loud when the money is large. Muruganandam says governance usually arrives last, turning a design choice into a cleanup job.

The fights Muruganandam names are marketing ones: choosing a new martech platform, generating AI content at brand scale, building personalisation on customer data and running agentic campaigns that act without a human in every loop. They opened the September 19 AI Trust Table with this framing and later reported that discussion widened to AI investment problems across business functions, from startups to large enterprises.

The two posts cover the same model at different points. The first presents it as a marketing decision problem; the follow-up treats it as a broader enterprise pattern after the table conversation moved beyond marketing.

Read original · Original 2

An AI system without governance is an attack surface

For a security audience, the argument sharpens: missing governance is not only a compliance gap but an exposure.

Read more

The problem is organisational.

  • Security teams flag the risk, but the people who own the compliance budget are not always in the room.
  • That mismatch is where the danger sits.

Muruganandam took the trust-table conversation to Black Hat, a gathering of security researchers and practitioners, and recorded episodes there with Deepali Gosain, continuing the earlier table discussion. The post links the recordings and points readers to the show.

Read original

AI agents move the question from who can get in to what the system is allowed to do

Muruganandam relays this position from interviewees rather than claiming it as their own.

Read more

In the RSA Conference 2026 recap, they grouped senior executives’ comments into six themes: AI as the centre of gravity for attackers and defenders alike; a shift from AI-enabled products to genuinely AI-native security platforms; attackers industrialising cybercrime and compressing the time between discovering a vulnerability and exploiting it; AI agents becoming embedded as digital co-workers, forcing organisations to move from access control to action governance; security becoming a cross-functional team sport; and consolidation into platforms rather than point tools. Their closing claim is that technology is not the differentiator; leadership alignment and cross-functional collaboration are.

The recap names the executives behind those themes: Doug M. of Aviatrix, Nir Greenberg of Reco, Gal Perl of Teramind, Dan Candee of Cork, Dean Teffer of Arctic Wolf, Shashi Kiran of Nile, Andrew Wesie and Jeffrey Martin of Theori, Eran Kinsbruner of Checkmarx, Adam Arellano of Harness, Ahmed Achchak of Qevlar AI, and David Brauchler III of NCC Group. A companion post announces that all twelve RSA interviews are published as a playlist on Muruganandam’s show.

Read original · Original 2

Convene small, approval-only tables where the room talks more than the hosts

The method behind the argument: sessions are deliberately small and curated by application, with one guest opener posing an unhyped question and most of the time reserved for peer discussion.

Read more

Set that rule early, Muruganandam says, and the room does the work.

The September 19 trust table had eight participants from biotech, med-tech and enterprise software, with one rule set at the start: the room talks more than the hosts do.

  • The Secure Physical AI session was announced for October 10 as a 15-seat event by approval, with a 15-minute opening from a guest leader followed by an hour split into build, prove and transact.
  • In the prove stage, participants delivered 90-second trust pitches to a mock buyer panel; the transact stage covered who pays when things break, including liability, insurance and partnerships.

Read original · Original 2 · Original 3

Education, ecosystem, industry innovation

This post takes up a separate strand of Muruganandam’s priorities, outside AI governance and security.

Read more

They describe their role as IBM’s Academic Ambassador to Stanford, sponsoring student work that connects talent, partners and platform adoption: skills programmes develop people, partners build industry solutions on the technology, and integration platforms carry those solutions into use.

Over ten weeks, twelve Stanford Management Science and Engineering students under Professor Riitta Katila worked on three IBM-sponsored projects.

  • One team explored how to win more mid-market business through partners, recommending stronger partner technical competency through demo days, hackathons and mentorship from IBM engineers.
  • Another developed data-driven cold chain logistics work using real-time streaming architectures such as Kafka-based platforms to detect temperature anomalies early and trigger interventions before product loss.
  • The third evaluated IBM SkillsBuild as a talent pipeline.

This post focuses on partner ecosystems and academic collaboration rather than governance, trust or security. It shows the product-management and partner side of the profile, a secondary thread to its central argument.

Read original

Sources for this section

Start with their work

What RSA Conference 2026 revealed about AI in security

This shows what Vivek Bharathi Muruganandam produces and argues: an interview series with senior security and AI leaders, built around the thesis that governance must be designed into AI adoption, not handled afterward.

Read more

A recap of a week at RSA Conference 2026, drawing on conversations Vivek Bharathi Muruganandam recorded for The AI People talkshow with named executives from Aviatrix, Reco, Teramind, Cork, Arctic Wolf, Nile, Theori, Checkmarx, Harness, Qevlar AI and NCC Group.

  • The post groups their comments into six themes: AI as the centre of gravity for attackers and defenders; a shift from “AI-enabled” to genuinely AI-native security platforms; attackers industrialising cybercrime with AI and compressing the gap between discovering a vulnerability and exploiting it; AI agents creating a need to govern actions, not just access; security becoming cross-functional; and consolidation into platforms over point tools.
  • It closes with the argument that leadership alignment and cross-functional collaboration matter more than the technology itself.

For brands planning a campaign

The six themes make ready-made roundtable prompts. A co-hosted executive session could focus on “action governance” for AI agents—a sharper brief than a generic AI-in-security panel, and one that gives guests something concrete to debate.

Twelve interviews from RSA, published as a series

In one screen, it shows what the show looks like and who appears on it.

Read more

Newcomers can scan the guest roster, seniority and topics before deciding whether to watch.

Announces that twelve interviews recorded at RSA Conference are live as a playlist on The AI People show, and names every guest and company.

  • The stated subjects are how AI is changing security operations, the practical problems enterprises face, the future of intelligent automation in cybersecurity, and advice the audience can apply.
  • The post targets people building, investing in, or following the intersection of AI and security.

For brands planning a campaign

A B2B AI governance company can build on an existing interview format with a security-vendor audience rather than start from scratch. The guest roster also shows which companies already talk to this host.

The four chairs that decide an enterprise AI deal

This distils the recurring idea into one page: governance as an accelerator rather than a tax, explained through four executives and the specific deals they debate.

Read more

Frames every enterprise AI investment in marketing as a negotiation among four executives: the CMO, who cares whether the output is good enough to put the brand’s name on; the CIO, who cares whether it integrates and holds up at scale; the CFO, who wants predictable run costs and clear return; and the CISO, who asks where customer data goes and who can see it.

  • The post says disputes intensify over large bets such as a new marketing platform, AI content generation at brand scale, personalisation on customer data, or agentic campaigns that act without a human in the loop.
  • Its argument: governance usually gets a seat last, after the contract is signed—exactly when marketing AI deals stall in security review.
  • Teams that bring the CISO in early launch faster.

For brands planning a campaign

The four-chair frame gives a co-hosted executive roundtable a natural agenda. It gives a governance platform a reason to convene buyers across functions, not just security or marketing, and offers trade-off language to keep the session from becoming a vendor pitch.

What the trust table produced, and who showed up

Shows how the discussion works in practice: a small, peer-led, recorded session with a sign-up path.

Read more

This helps assess whether the host is an active convenor, not just someone who posts opinions.

A follow-up to an AI trust session held around 19 September, describing a small table of eight people from biotech, med-tech and enterprise software.

  • The hosts set a rule at the outset: the room should talk more than they do.
  • The post returns to the four-executive trade-off, names participants who led parts of the conversation, links the recording and opens sign-up for future sessions.
  • It also notes that the discussion broadened from marketing to AI investment questions across other business functions, from startups to large enterprises.

For brands planning a campaign

An existing pipeline of future sessions and a recording show the format in action. A co-hosted event could extend this table rather than stand alone, and the cross-industry guest mix suggests invitations need not be limited to marketing buyers.

Your AI governance policy means nothing to a hacker

The post translates the governance argument for practitioners, showing how Vivek Bharathi Muruganandam positions the topic for a technical rather than commercial audience.

Read more

A Black Hat post argues that an AI system without governance is not just a compliance gap but an attack surface.

  • It describes episodes recorded with Deepali Gosain that carry the trust-table conversation onto security’s own turf, and highlights a mismatch: security teams flag the risk, but those holding the compliance budget are not always in the room.
  • The post identifies that mismatch as the source of real exposure and links the episode recordings.

For brands planning a campaign

For a governance platform targeting technical buyers, the security-review framing is the sharper hook. A joint episode or panel built around “governance as attack surface” could reach security leaders who would skip a marketing-led AI event.

Secure Physical AI: a boardroom session format set out in full

The post details an event format, including seat count, approval process and session structure.

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Buyers considering a co-hosted roundtable can assess the template already in use.

An announcement for a 15-seat, approval-only boardroom discussion on AI in regulated industries, co-hosted by The AI Trust Table and The AI People with Deepali Gosain.

  • The examples are concrete: a robot in a GxP lab, a surgical assist device, an autonomous inspection system at a utility—each requiring sign-off from a CISO, a QA or regulatory lead, a safety engineer, procurement and sometimes an insurer.
  • The format is a 15-minute opening question from a guest leader, followed by an hour of peer discussion across three stages: build (safety case and threat model in week one), prove (90-second trust pitches judged by a mock buyer panel), and transact (who pays when it breaks, liability, insurance, partnerships).
  • The post positions the event between the big October conference stages, where funding and scaling get more airtime than earning trust to deploy.

For brands planning a campaign

This is the closest existing template for an executive roundtable. Regulated-industry AI trust is already the stated theme, the mock buyer panel encourages participation, and a governance platform could contribute to the prove and transact stages, where its subject matter becomes the agenda.

Teaching an ecosystem: Stanford students on IBM projects

It shows what this person does beyond hosting: product management and ecosystem partnerships, reflected in the 'principal product manager' title alongside the show.

Read more

Describes a ten-week collaboration in which twelve Stanford Management Science and Engineering students, under Professor Riitta Katila, worked on three IBM-sponsored projects: mid-market partner go-to-market; data-driven cold chain logistics using real-time streaming architectures such as Kafka-based platforms; and an evaluation of IBM SkillsBuild as a talent pipeline.

  • The post names the students and IBM mentors for each project, and identifies the author as IBM's Academic Ambassador to Stanford, working with the SkillsBuild team.
  • Its closing idea is a loop: skills programmes develop talent, partners build industry solutions, and integration platforms carry them into real work.

For brands planning a campaign

Relevant to campaigns seeking a talent, skills or partner-ecosystem angle rather than a security one. It also shows a convening style built around structured, time-boxed projects with named participants—a different offering from a moderated discussion.

Sources for this section

Topics and approach

Posts cited for each topic
AI trust and compliance as gates to deployment4
Conference-floor interview series: The AI People3
Small, approval-only executive tables3
The four-chair model of enterprise AI decisions2
Enterprise AI in marketing and martech2
Physical AI in regulated industries1
Partner ecosystems, skills and academic programs1

AI trust and compliance as gates to deployment

Across the posts, the recurring argument is that AI deals stall in compliance and security review, not in the demo.

Read more

Vivek describes regulated deployments—a robot in a GxP lab, a surgical assist device, an autonomous inspection system at a utility—each requiring sign-off from a CISO, a QA/RA lead, a safety engineer, procurement and, sometimes, an insurer.

  • The proposed fix is to bring governance in at design time: teams that involve the CISO from the start launch faster because the deal is not re-litigated in a security review six months later.
  • A Black Hat post makes the same case from the security side: an AI system without governance is an attack surface, and exposure sits in the gap between security teams and whoever owns the compliance budget.

For brands planning a campaign

This is the clearest stated thesis, and it maps directly onto a governance vendor’s message. A co-hosted roundtable could use governance as a design input, not a cleanup step, as its premise rather than defaulting to a generic AI-risk theme.

Examples: Source 1 · Source 2 · Source 3 · Source 4

The four-chair model of enterprise AI decisions

Two posts describe the same model: every major enterprise AI bet is a negotiation among four executives protecting different interests.

Read more

The CMO wants taste and brand-safe output; the CIO wants performance and stack fit at scale; the CFO wants forecastable run costs and clear ROI; and the CISO wants proof that data handling and controls hold up.

  • No one can maximize all four.
  • The fiercest debates center on martech platforms, AI content generation at brand scale, personalization built on customer data, and agentic campaigns that act without a human in every loop.
  • Vivek’s observation: governance usually gets a seat after the contract is signed, when marketing AI deals can die in security review.

For brands planning a campaign

Offers a ready-made agenda and a natural entry point: a session built around the four seats, with the CMO-versus-CISO tension as its central question. Invite counterparts to fill each chair so the discussion is peer-to-peer, not vendor-to-buyer.

Examples: Source 1 · Source 2

Conference-floor interview series: The AI People

Vivek hosts and publishes The AI People, a series of recorded interviews with named AI and security leaders at major conferences.

Read more

RSA Conference 2026 produced 12 interviews, released as a dedicated playlist, with guests from Aviatrix, Reco, Teramind, Cork, Arctic Wolf, Nile, Theori, Checkmarx, Harness, Qevlar AI, and NCC Group.

  • A companion post distills themes from those conversations: AI as the center of gravity for attackers and defenders; the shift from AI-enabled to AI-native security vendors; threats scaling faster than defenders can adapt; AI agents as digital co-workers carrying autonomy risk; security as a cross-functional team sport; and platform consolidation over point tools.
  • The interview series continued at Black Hat with a co-host.

For brands planning a campaign

A sponsor could join a conference interview run or a single episode, creating named-leader content to co-brand and reuse. The theme recap also gives a vendor a place in the synthesized takeaway, not just the raw interview.

Examples: Source 1 · Source 2 · Source 3

Small, approval-only executive tables

The AI Trust Table is described as a small session—eight chairs, with people from biotech, med-tech and enterprise software—and one ground rule: participants talk more than the hosts.

Read more

The Secure Physical AI session on October 10 in the Bay Area used a related format: 15 seats by approval, a guest leader opening with 15 minutes on one unhyped question, then an hour of peer discussion divided into build, prove and transact.

  • In the prove segment, a mock-buyer panel judged 90-second trust pitches.
  • The transact segment covered who pays when it breaks, liability, insurance and partnerships.

Small, approval-only tables with a single guest opener, most of the time reserved for peer discussion, and structured role-play exercises such as a mock-buyer panel scoring short trust pitches.

For brands planning a campaign

The format is designed to be co-hosted and portable. A mock-buyer trust-pitch exercise gives a sponsor an active role in the session rather than mere logo placement; a vendor’s own customers can sit on the panel judging pitches.

Examples: Source 1 · Source 2 · Source 3

Physical AI in regulated industries

The Secure Physical AI session applies the governance argument to physical systems in regulated settings: robotics in GxP environments, surgical assist devices and autonomous inspection at utilities.

Read more

Vivek contrasts the October calendar of product and funding stages—ProductCon, TechCrunch Disrupt, Money20/20—with the less-discussed step in between: earning enough trust to deploy inside a regulated industry.

  • The session was co-hosted with Deepali Gosain of Ferendis, whose background is in FDA-regulated and GxP AI and digital platforms at Oracle and Thermo Fisher Scientific.
  • The pairing brings both AI governance and deployment into the conversation.

For brands planning a campaign

The strongest fit for a brief aimed at regulated industries. The topic can be tailored to a sponsor’s vertical, and the pairing of a governance-side host with a platform/product host offers a template vendors can use.

Examples: Source 1

Enterprise AI in marketing and martech

Marketing is the working example in two posts: martech platform selection, AI content generation at brand scale, personalization built on customer data, and agentic campaigns that act without a human in every loop.

Read more

Vivek notes that what started as a marketing conversation widened at the table to AI investment problems in other business functions and across the scale spectrum from startups to large enterprises. The stated pattern is that marketing teams which bring the CISO in at the start launch faster, because nobody has to go back and ask where the data went.

For brands planning a campaign

A useful fit when the buyer sits in a marketing organization or a governance vendor is selling into martech budgets. The four-chair framing and marketing use cases provide a ready-made session outline for a marketing audience.

Examples: Source 1 · Source 2

Partner ecosystems, skills and academic programs

A separate post describes Vivek’s role as IBM’s Academic Ambassador to Stanford University, working with 12 students from the Management Science & Engineering program under Professor Riitta Katila on IBM-sponsored projects supported by IBM Integration software and IBM SkillsBuild.

Read more

Three teams tackled separate challenges: winning more mid-market business through partners by strengthening partner technical competency with demo days, hackathons and engineer mentorship; optimizing cold chain logistics with data, using real-time streaming and anomaly detection to trigger interventions before product loss; and evaluating SkillsBuild for the talent pipeline. The stated loop runs from education to ecosystem to industry innovation.

Project sponsorship with university teams, named IBM mentors for each project, and published recommendations from the students’ work.

The post focuses on partner ecosystems, talent pipelines and academic collaboration rather than AI governance, trust or security.

For brands planning a campaign

Relevant for a sponsor seeking ecosystem, partner enablement or talent-pipeline programming. For a governance or security brief, it is supporting evidence rather than the main hook.

Examples: Source 1

Sources for this section

Brands and businesses

Vivek’s posts identify roles with The AI People, The AI Trust Table and IBM.

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They do not establish sponsorship, employment, or business ownership for these relationships.

The AI People

Mention

Vivek Bharathi Muruganandam describes themself as host of The AI People, a talk show featuring conversations with AI, security and technology leaders.

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Ask who owns the show.

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The AI Trust Table

Disclosed partnership

Vivek says they co-hosted AI Trust Table discussions with Deepali Gosain, including a roundtable about enterprise AI governance.

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Ask whether there was a commercial arrangement.

View example

IBM

Disclosed partnership

Vivek describes themself as IBM’s Academic Ambassador to Stanford University and says they collaborated with IBM colleagues on student projects.

Read more

Ask them to clarify their employment status and any commercial terms.

View example

Sources for this section

Topics and similar creators

Vivek Bharathi Muruganandam's posts follow two related strands.

Read more

In The AI People, they interview named security and AI leaders at conferences such as RSA Conference and Black Hat, then publish themes from those conversations.

  • They also co-host small, invitation-only AI Trust Table sessions, where executives debate where AI governance sits in an enterprise buying decision.
  • Readers looking for the argument can start with their four-executive model — the CMO, CIO, CFO and CISO each protecting something different — and follow it into the regulated-industry session on physical AI, robotics and medical devices.
  • Their post on an IBM-sponsored Stanford programme offers a different angle: product management and partner ecosystems.
AI governance AI security Enterprise AI adoption Physical AI in regulated industries Marketing technology Partner ecosystems and talent pipelines CISO and security leadership Executive roundtables and peer sessions Interview series Conference takeaways and recaps Product management

Marcel Gradidge

Both write for enterprise technology leaders about how AI is rewriting security practice, and both publish conference takeaways that sort what vendors and CISOs said into a handful of themes.

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Marcel Gradidge's RSAC 2026 recap covers much of the same ground as Vivek Bharathi Muruganandam's: agentic AI as both opportunity and threat, AI-generated phishing and faster exploitation, identity as the new perimeter, and security moving from a CISO problem to a board-level one.

Marcel Gradidge writes from an operator and go-to-market perspective, with a recurring interest in how large organisations separate network engineering from network operations and structure NOCs, SOCs and SRE feedback loops. Vivek Bharathi Muruganandam takes an organisational rather than architectural angle: they host peer tables and interviews and debate who gets a seat at the AI decision, not how the estate is designed.

Read original · Original 2

Patti Degnan

Both cover AI security as a CISO-grade buying and deployment question.

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Patti Degnan writes about taking a CISO role at Glow as AI EDR moves from a future category to part of the security stack, and about hosting an investor demo day on security in the AI era. That matches the focus on AI security adoption and bringing security leaders together in Vivek Bharathi Muruganandam's trust tables and conference interviews.

Patti Degnan is an in-house security executive who writes about her mandate and investor-facing events. Vivek Bharathi Muruganandam does not sell or run a security function in these posts; they convene and interview others, then synthesise what they say.

Read original · Original 2

Raghuram Krishnan

Both examine how AI changes the mandate of a specific executive function, using forums they took part in — a summit appearance, a board programme or a peer table — to draw out and publish themes.

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Raghuram Krishnan's CFO summit post argues that AI and technology are rewriting the CFO role, while his board leadership post covers AI governance among the topics boards now have to weigh.

Raghuram Krishnan writes about finance and board governance, with individual accounts of summits and programmes he attended. Vivek Bharathi Muruganandam covers AI trust and security across regulated industries through a recurring table format and an ongoing interview series.

Read original · Original 2

Sources for this section

Audience

Vivek's strongest audience signal is a LinkedIn following of 9,649, as of 2026-10-09.

Read more

The content around that account targets people who buy, build, or govern AI in security-sensitive settings.

  • The AI People interviews feature named security and AI executives from companies including Aviatrix, Reco, Teramind, Cork, Arctic Wolf, Nile, Theori, Checkmarx, Harness, Qevlar AI, and NCC Group.
  • The AI Trust Table posts convene small, approval-only discussions with people from biotech, med-tech, and enterprise software, framing AI adoption as a trade-off among CMO, CIO, CFO, and CISO priorities.
  • A Black Hat post treats ungoverned AI as an attack surface, not just a compliance gap.
  • Their posts do not specify followers' location, age, gender, employer, occupation, or seniority.
  • Before committing to a campaign aimed at an AI trust and compliance roundtable, ask for recent audience survey results or platform demographics covering those professional attributes, plus results from comparable roundtables or executive interviews, including registrations, attendance, seniority mix, and follow-on engagement.

LinkedIn followers

9,649

LinkedIn profile · 2026-10-09

Sources for this section

Partnership options

Vivek Bharathi Muruganandam’s public posts describe two ways for a brand to appear alongside them: co-hosting a small, invitation-only AI trust roundtable, or placing a named executive in the interview series they record at security conferences.

Read more

Neither is presented as standard sponsorship inventory.

  • The sessions are peer discussions run with a partner organisation: the September and October 2026 "AI Trust Table" sessions were built jointly with Deepali Gosain of Ferendis, and the October boardroom session was jointly hosted by The AI Trust Table and The AI People.
  • Guests come from regulated and enterprise settings, including biotech, med-tech, enterprise software and security vendors such as Aviatrix, Arctic Wolf, Checkmarx, Harness, Qevlar AI and NCC Group.
  • Seats are limited and approved rather than ticketed at scale; registration is through per-event sign-up links, not a standing partnership programme.
  • No sponsorship policy, rate card, audience specification or standing partnership inquiry page is published in the posts.
  • Ask directly about the co-host role and terms.

Co-hosted AI trust roundtable

Buyer requirement

A named co-organiser and a brand-side host can open the session, alongside a guest list drawn from the buyer’s regulated-industry contacts.

  • The format is deliberately small: the September 2026 table had eight chairs, and announced sessions cap attendance by approval.
  • The ground rule is that guests do most of the talking.
  • Come with a point of view on who owns AI governance, and expect peer discussion rather than a broadcast.

Boardroom-style session on deploying AI in regulated industries

Buyer requirement

A guest leader opens with roughly 15 minutes on one specific, unhyped question, followed by about an hour of peer discussion.

  • The October 2026 session, "Secure Physical AI: Build it.
  • Prove it.
  • Sell it," divided that hour across three buyer-relevant steps: where the safety case and threat model belong in week one; 90-second "trust pitches" judged by a mock buyer panel; and who pays when a system fails — liability, insurance and partnerships.
  • A brand joining this format needs a credentialed operator, not a marketing speaker.
  • With 15 approved seats, the value lies in who attends.

Executive interview slot on The AI People

Buyer requirement

A senior executive who can speak to real deployment experience, plus agreement on filming at the conference and publishing the result.

  • Interviews are recorded on site: 12 were filmed at RSA Conference and released as a dedicated playlist, and a Black Hat episode was recorded with Deepali Gosain on why an ungoverned AI system is an attack surface.
  • The buyer supplies the interviewee and talking points; the recording is published through Vivek Bharathi Muruganandam’s channel and promoted in the posts.
Sources for this section

Campaign fit

A campaign to shortlist

Pursue if the brand wants a senior peer discussion and can commit a credible co-host. Don’t position it as a mass-registration webinar or product demo.

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Brief

An AI governance platform selling into regulated industries wants to co-host an executive roundtable on AI trust and compliance.

Risks and gaps

No official sponsor policy, rate card, media kit, audience specification or standing partnership inquiry page appears in the posts. The formats are small, approval-only peer tables and conference interview slots; negotiate commercial terms directly.

The only published audience metric is a LinkedIn following of 9,649, observed on 9 October 2026. There is no data on follower geography, seniority, employers, occupations, engagement rates or event attendance. Ask for recent audience survey results or platform demographics, plus results from comparable roundtables or executive interviews: registrations, attendance, seniority mix and follow-on engagement.

The format is small and approval-only, so success depends on who attends and what the room produces—not registration volume. The brand should provide a named co-host to open the session, a guest list drawn from its regulated-industry contacts and a clear point of view on who owns AI governance.

Agree on filming, publishing and recap permissions in advance.

Verdict

Strong fit if the brand negotiates a defined co-host role directly. The existing format closely matches the brief, and the topic is one this creator already convenes senior people to discuss.

Why it fits

The announced formats already match the brief. The Secure Physical AI session was a 15-seat, approval-only boardroom discussion: a guest leader opened with about 15 minutes of remarks, followed by roughly an hour of peer discussion split into build, prove and transact stages. The AI Trust Table has run as an eight-chair peer conversation where participants talk more than the hosts. These are working templates for a co-hosted executive roundtable.

The subject matter is directly relevant. The posts argue that AI deals fail in compliance and security review, not in the demo, and that governance usually gets a seat at the table only after the contract is signed. The physical-AI examples are concrete and regulated: a robot in a GxP lab, a surgical assist device and an autonomous inspection system at a utility. Each needs sign-off from a CISO, a QA or regulatory lead, a safety engineer, procurement and sometimes an insurer. An AI governance platform can bring expertise to the prove and transact parts of that agenda.

The audience is senior and cross-functional. The posts name participants from biotech, med-tech and enterprise software, and the interview roster includes people from Aviatrix, Reco, Teramind, Cork, Arctic Wolf, Nile, Theori, Checkmarx, Harness, Qevlar AI and NCC Group. It’s a narrow but relevant group for a governance vendor.

There’s a co-branded content opportunity. The AI People interview series has been recorded at RSA Conference and Black Hat, including an episode focused on governance as an attack surface. A brand can propose a recorded interview or episode tied to the roundtable and reuse the material afterwards.

When to choose a specialist

Reject as briefed. A revised brief using a small, senior, governance-led format might fit, but don’t promise registration volume, lead targets or a product-demo slot.

Read more

Brief

A martech vendor selling AI content-generation software to mid-market marketing teams wants a sponsored webinar with a live product demo, a lead-generation registration target and promotion to a broad marketing audience.

Verdict

Weak fit for a campaign targeting broad reach or measurable conversions. The topic overlaps in places, but the format, audience level and success measure don’t match what the posts show.

Why it does not fit

The format is a mismatch. The posts describe small, approval-only peer tables and conference interview slots, not open webinars, product demonstrations or broad registration campaigns. The Secure Physical AI session capped attendance at 15 seats by approval; the trust table had eight chairs.

The audience is a mismatch. The content targets senior buyers and AI governors in security-sensitive settings: CISOs, CIOs, CFOs, CMOs, QA and regulatory leads, safety engineers, and enterprise software and security vendors. Marketing appears as one example in a four-chair governance trade-off, not as mid-market how-to content for marketing managers.

The success measure is a mismatch. The posts don’t show Vivek Bharathi Muruganandam driving high-volume registrations or product-demo conversions. The follower count alone doesn’t establish engagement, seniority or buying intent.

There’s a commercial mismatch: no published sponsorship inventory, rate card or standing inquiry route. Ask directly about available commercial terms; there’s no public webinar package menu.

There’s a partial opening if the brief is reframed. The four-chair posts offer relevant material for a senior enterprise marketing conversation about CISO involvement, customer data and agentic campaigns. That’s a different brief from a broad mid-market demo webinar.

A worked campaign example
Angle

Build the campaign around the governance problem this creator already convenes people to discuss: regulated AI systems need a safety case, a threat model and a liability answer before deployment, while governance usually arrives last. Position the sponsoring governance platform as a co-host helping buyers work through proof and transaction questions, not as a vendor delivering a product pitch.

Content plan

Publish a recorded interview episode before the table, pairing the brand’s executive or lead customer with a governance or security operator on The AI People.

Use the episode to set up the table question, not to demo the product.

After the table, publish a recap of themes and unresolved questions, with a sign-up route for the next table if the brand has one.

Cut the trust pitches into short clips only with speakers’ agreement and if the format survives editing.

Format

A 90-minute invitation-only table with about 15 seats; approval required.

A guest leader opens with 15 minutes on one unvarnished question, such as: where does the safety case belong in week one of a regulated AI deployment?

Roughly one hour of peer discussion, split into three parts: build, prove and transact.

Build: where the safety case and threat model belong in week one.

Prove: 90-second trust pitches judged by a mock buyer panel.

Transact: who pays when the system fails, covering liability, insurance and partnerships.

The AI Trust Table rule: attendees do more of the talking than the hosts.

Gaps before commitment

Confirm whether a co-hosted table is available, on what date and with what capacity.

Confirm filming, recording and publishing rights.

Ask for audience demographics, event attendance data and results from comparable roundtables or interviews.

Agree on an inquiry and follow-up route. No standing partnership inquiry page appears in the posts, so confirm who handles inquiries and how.

Confirm commercial terms before presenting a sponsorship package as available.

Roles

Sponsoring brand: supplies a named co-host to open the session, a guest list drawn from regulated-industry contacts and a subject-matter expert for the prove and transact segments.

Vivek: moderates, promotes the session through LinkedIn and The AI People, and leads the peer discussion.

Success measures

Approved attendees and their seniority mix.

Quality of trust pitches and peer discussion.

Follow-on conversations with named participants.

Reach of the interview episode and recap among relevant senior buyers.

Do not measure raw registration volume or demo requests; the format is not designed to deliver those targets.

Title

Co-hosted table: Who owns AI governance when the system is physical?

Sources for this section

Who else to consider

Marcel Gradidge

The stronger choice when the roundtable's centre of gravity is the security operator's view of AI risk.

Read more

Marcel Gradidge's RSA Conference 2026 write-up works through five shifts in one pass: agentic AI executing workflows across enterprise systems, shadow agents operating outside any governance framework, an industrialised attack surface where zero-days are produced at scale, identity as the new perimeter, and a move from access control to action control.

  • If the brand needs someone to open the session on threat models, control design and what actually breaks, and hold that conversation with CISOs and red teamers rather than policy owners, this material serves the build and prove segments more directly than a compliance-first framing.
  • The post separating network engineering from network operations shows the same habit applied to operating models: split the functions, define the handoff and give the CIO a structure to run.

Gradidge's posts show commentary and analysis, not a convening format.

  • The two posts here do not document an approval-only table, an interview series, a registration route or a guest roster; the events named are other people's conferences.
  • Choosing this direction means the brand supplies the format, guest list and moderation, and absorbs more production risk.
  • The subject matter also sits closer to security operations and architecture than to the regulated-industry sign-off chain — quality and regulatory leads, safety engineers, procurement, insurers — for a campaign aimed at those gatekeepers.
  • A robot in a GxP lab, a surgical assist device or an autonomous inspection system would still need another voice to cover compliance and liability.

Examples: Source 1 · Source 2

Patti Degnan

Patti Degnan is the better pick when the brand needs a sitting security executive in the room and a route into the security investment community.

Read more

The Andreessen Horowitz AI Security Demo Days announcement describes a curated, invitation-style evening she hosts, with a fireside chat on the state of investing in security in the AI era, demos from five security companies and a founder reception — a co-hosted format with a defined audience, suited to a brand seeking a co-hosted event for that audience.

  • The post announcing her move to Glow as Chief Information Security Officer puts current ownership of security and IT for an AI EDR company on the record.
  • The argument there is the buyer's problem, stated from inside a security team: AI is moving faster than traditional tooling, with new agents, applications and data flows reaching the endpoint.

The audience is investors, founders and security buyers rather than the regulated-industry gatekeepers — quality and regulatory leads, safety engineers, procurement, insurers.

  • A brand co-hosting here is also co-hosting with Patti Degnan's employer, so the arrangement needs company sign-off and the event carries the employer's brand alongside the sponsor's.
  • The posts show one company-defined event, not an independently run series.
  • Ask for a plan for follow-up sessions and evidence of who would return.

Examples: Source 1 · Source 2

Raghuram Krishnan

Raghuram Krishnan is the stronger choice when the money and the mandate sit with finance and the board, particularly in India.

Read more

The FICCI CFO Summit 2026 post makes the case an AI governance vendor wants a CFO to hear first-hand: the finance leader is becoming an architect of enterprise strategy and digital transformation, blending financial discipline with technology fluency and risk leadership, while AI will augment rather than replace that role.

  • The IIM Bangalore board programme post shows the same agenda landing with company secretaries, independent directors and risk owners, covering enterprise risk, AI governance, executive compensation and board succession, and closing on the judgement exercised when there is no obvious answer.
  • For a platform selling into regulated financial services or Indian enterprise, that is a more direct line to the economic buyer than a security-led table.

The posts show speaker and participant roles at institutional programmes rather than a host running a recurring series of their own.

  • A co-hosted event would likely route through FICCI, IIM Bangalore or a similar body, adding approvals, lead times and an institutional co-brand the sponsoring platform cannot control.
  • The AI content is pitched at the finance function's agenda — where the CFO fits in an AI-shaped enterprise — rather than the deployment mechanics of regulated AI.
  • The vendor should bring a technical voice to cover safety cases, threat models and liability.

Examples: Source 1 · Source 2

Sources for this section

Build your campaign brief

Editable Markdown templates for planning a campaign with this creator.

Campaign brief template: co-hosted creator session

Co-hosted table: Who owns AI governance when the system is physical?

Rejected martech webinar, reframed as a senior enterprise marketing table

Sources for this section

Research methodology

  • Vivek Bharathi Muruganandam's seven full LinkedIn posts published from 16 March to 1 October 2026 comprise an RSA Conference 2026 interview recap and a companion playlist announcement, a Black Hat episode post, two AI Trust Table posts, a Secure Physical AI roundtable announcement for 10 October, and a post on an IBM-sponsored Stanford student programme.
  • The LinkedIn following was 9,649 on 9 October 2026.
  • The posts do not provide interview recordings, transcripts, audience demographics, engagement data or commercial terms for the events and the show, so guest positions and audience composition are described only as the posts themselves state them.

Brands they talk about