Craig Adams

He argues that AI should improve the quality and economics of those decisions, not just automate workflows.

• In a separate post about health insurance costs, he connects better risk prediction, underwriting and claims management with the possibility of lower costs and better care.
• That connection is his argument, not independent proof that the products achieve those results.

When he joined Gradient AI as Chief Product Officer, Adams pointed to the company's insurance expertise, proprietary data and industry-specific AI. He later described renewal analytics features including a risk score combining claims data with third-party signals, a group termination model and peer benchmarking.

Read original · Original 2 · Original 3

His reasoning is that finding threats was never the end goal; the value is in helping an organization act on what it finds. This is a clear, testable view of where he thinks cybersecurity products should compete.

In a post summarizing his appearance on The Cybersecurity Recruiter Podcast, Adams says AI can uncover exposures, vulnerabilities and threats faster, but predicts a shift from discovery and detection toward response and remediation. The post reports Adams's account of the discussion; it does not establish what the podcast guest or host said.

In another post, Adams says he discussed how AI may change cyber offense, defense and security roles, and made predictions he offered to revisit. The post does not list those predictions.

Read original

He says curiosity matters in a fast-changing technology landscape and describes strong team culture as built through repetition, clarity, ownership and shared purpose. His definition of Extreme Ownership is not simply accepting blame: it is identifying what is within your control, what you can improve and what to do next.

In the same podcast reflection, Adams lists attitude, work ethic and curiosity as factors he considers when evaluating talent, and explains his distinction between taking ownership and accepting blame.

Read original

The posts show priorities he has chosen to discuss publicly; they do not establish a broader private motivation.

For the Dolly Parton Imagination Library in Waltham, Adams says 3,200 children ages 0–5 cannot participate without a local sponsor.

• He explains the monthly book program, gives approximate sponsorship costs and sets a five-year goal of distributing 50,000 books.
• In another post, he points readers to The Wonderfund's back-to-school kits for children in state care, with items listed from $8.29.

Read original · Original 2

Start here for the current role and the framing that runs through the rest of the writing.

Adams announces joining Gradient AI as Chief Product Officer and explains the reasoning: insurance is a data-and-decision business, and insurers make millions of daily decisions on risk, pricing, claims and where to spend resources. The pitch for the company is industry-specific AI built on proprietary data and insurance expertise, used by hundreds of insurers across health, property and casualty, and workers' compensation, with the aim of improving the quality and economics of decisions rather than only automating workflows.

For brands planning a campaign

Useful as a first look at how Adams positions AI: outcome quality and decision economics rather than feature lists.

• For a podcast or advisory engagement on AI-driven outcomes, this is the post that shows the frame they would likely bring.
• Because it is a company announcement, treat it as a statement of their own positioning, not independent evidence about the product.

Read it to see the argument style they use when advocating for a technology.

A few days into the role, Adams cites Aon and WTW projections of 9.5% to 11% cost increases for U.S. health insurance in 2027, described as the steepest rise in more than 20 years, with average costs expected to exceed $19,000 per employee and a fourth consecutive year of near double-digit growth. Adams connects those figures to insurers predicting risk, making underwriting decisions and managing claims, and argues better decisions lower costs and improve care.

For brands planning a campaign

If the brief needs a spokesperson who grounds AI claims in market data and human consequences, this is the clearest example. It also shows the limits: the numbers are cited from named sources but the link between AI adoption and lower costs is asserted, not demonstrated, so a campaign should treat it as a positioning argument to test.

Read it to judge whether they can carry a technical or product-specific segment without losing a general audience.

Adams outlines three additions to Gradient AI's Renewal Analytics platform: a blended risk score combining a group's own claims data with third-party signals for newer or high-turnover groups; a group termination model that rates retention risk before a rate action is set; and peer benchmarking down to condition prevalence and drug utilization. The stated goal is earlier visibility, sharper peer context, and the ability to act rather than just report.

For brands planning a campaign

This is the strongest sample of Adams translating features into a buyer's workflow.

• A campaign aimed at underwriters, actuaries or benefits consultants can use this register.
• It also reads close to vendor marketing, so pair it with an independent example before relying on it for editorial credibility.

Start here if the interest is a security audience rather than an insurance one.

Adams summarises an appearance on The Cybersecurity Recruiter Podcast.

• The argument: security teams have become good at finding problems, with AI speeding up discovery of exposures, vulnerabilities and threats, but customers buy outcomes, not alerts, so the focus should shift from detection to response and remediation.
• On hiring, Adams weighs attitude, work ethic and curiosity, with curiosity increasingly important.
• On teams, Adams argues people need to understand why their work matters, and describes Extreme Ownership as identifying what you can control and improve rather than accepting blame.

For brands planning a campaign

Directly usable for the stated brief on AI-driven security outcomes and leadership. Note that this is Adams's summary of a conversation; the podcast itself is not in the supplied material, so claims about how the discussion actually unfolded should be checked against the episode before quotation.

It also shows the lighter, more informal side of their voice.

Adams describes a discussion with Mehul Revankar on the Noise2Signal channel about the future of cyber offense and defense and how roles will change in the age of AI. Adams says they made predictions on the podcast and offered to return with a bottle of wine if and when those predictions come true.

For brands planning a campaign

A good hook for a recurring or follow-up format: public predictions create a reason for a second appearance and a natural measurement point. The predictions themselves are not listed in the post, so the episode has to be reviewed before any specific claim is repeated.

Read it for the career context behind the security posts, and to see how Adams handles a transition in public.

Adams announces leaving Rapid7 and says a new chapter is coming. The retrospective lists integrating and opening the platform, creating new products, improving existing ones, and a customer-first approach to protecting customers, plus confidence in the leadership team and thanks to colleagues, customers and friends.

For brands planning a campaign

Useful background when explaining why a security audience knows Adams, but the post is deliberately vague about what comes next, so it should not be used to claim a specific role or plan at that point. It also gives a measured, non-critical tone for transitions, which is worth knowing before inviting comment on competitors.

Read it to see the community side of the profile, separate from the product and security material.

Adams marks Dolly Parton Day by campaigning to bring the Imagination Library to Waltham, Massachusetts, where about 3,200 children aged 0-5 cannot participate for lack of a local sponsor.

• The post explains the monthly free-book model, the funding role of community donors, a cost of roughly $3 a month per child or about $60 a month per classroom, partial two-year commitments already secured, and a goal of distributing 50,000 free books within five years.
• Adams asks readers to pledge or share, and gives a direct email address.

For brands planning a campaign

Shows a concrete civic commitment with a specific ask and a measurable target, which is a useful signal if a campaign wants a creator who will speak about community work credibly. Any partnership should respect that this is a donation drive with named conditions, not a sponsored placement.

Read it alongside the literacy post to see a consistent thread rather than a one-off.

Adams writes about foster children and children in state care, notes the trauma many experience before and during state care, and points to The Wonderfund's back-to-school kits. The ask is deliberately small, with items starting at $8.29 sent through an Amazon wish list, and Adams invites readers to repost for visibility.

For brands planning a campaign

Confirms a pattern of practical, low-friction asks for causes rather than brand tie-ins. For a campaign, this is material about values and audience trust, not a sponsorship format; there is no commercial offer documented in this post or the other community post.

He cites outside figures to make the pressure concrete — U.S. health insurance costs projected to rise 9.5% (Aon) to 11% (WTW) in 2027, with average costs above $19,000 per employee — and describes the Gradient AI products he now leads: a blended risk score combining a group's own claims with third-party signals, a group termination model that rates retention risk before a rate action is set, and peer benchmarking down to condition prevalence and drug utilisation.

Anchors the argument in named third-party cost figures, then maps them to specific product capabilities rather than general AI claims.

For brands planning a campaign

For a brief on AI-driven outcomes, Craig Adams offers an insurer-decision framing and speaks to underwriting, renewals and cost pressure. A host or client can push him on where better decision quality actually shows up in pricing and claims, rather than on AI as a theme.

Examples: Source 1 · Source 2 · Source 3

He expects a shift from discovery and detection toward response and remediation, and says companies that help customers complete workflows, not just flag issues, will create the most value. On the Noise2Signal channel he discussed how cyber offence, defence and roles change in the age of AI, and made predictions he offered to revisit later.

States a directional prediction and ties it to a commercial argument about which vendors create value.

Both items are LinkedIn posts describing podcast appearances. The episodes themselves were not reviewed here, so the topics are known from Craig Adams's own summaries, not from the full conversations.

For brands planning a campaign

This is the closest fit to a cybersecurity thought-leadership podcast or advisory engagement on AI-driven security outcomes: he brings an operator's view from Rapid7 plus a clear, debatable thesis about where value moves.

Examples: Source 1 · Source 2

He describes mission-driven teams as ones where people understand why their work matters, and says cultures are built through repetition, clarity, ownership and shared purpose. His reading of Extreme Ownership is that taking ownership means identifying what you can control, what you can improve and what to do next — not accepting blame.

Turns each point into a short, checkable list rather than a general statement about leadership.

For brands planning a campaign

Gives leadership-focused content or advisory work concrete, quotable positions on hiring and accountability, with a stated link between ownership and long-run performance.

Examples: Source 1

Announcing his move to Gradient AI, he set out why: the combination of deep insurance expertise, proprietary data and AI purpose-built for the industry, and a customer base of hundreds of insurance organisations across health, property and casualty, and workers' compensation. He said his focus would be building on the existing foundation, accelerating product innovation and helping customers operate at speed.

Uses role-change posts to state what was built, what drew him to the next company and what he intends to do there.

For brands planning a campaign

Useful for product-strategy content and for judging how he talks about his own track record. He names results and rationale plainly rather than trading in broad claims.

Examples: Source 1 · Source 2

One supports the Dolly Parton Imagination Library in Waltham, Massachusetts, where he says 3,200 children aged 0-5 cannot take part because the town lacks a sponsor; he explains the programme, puts the cost at about $3 per child per month or $60 per classroom, sets a goal of 50,000 free books within five years, and offers a pledge that only becomes due if enough is raised to launch. The other asks for back-to-school kits for children in state care through The Wonderfund, with items from $8.29 on an Amazon wish list and a four-click donation path.

Names the organisation, gives unit costs, and makes the ask small and specific so a reader can act in a few clicks.

These are personal cause posts. No company partnership, sponsorship or commercial relationship is implied by them.

For brands planning a campaign

Shows a willingness to run public campaigns with explicit asks and threshold conditions. It is not evidence of brand-partnership terms, but it is relevant if a campaign wants a community or CSR component.

Examples: Source 1 · Source 2

He flags where numbers come from, lists product capabilities as checked points, and shared a personal contact address on a fundraising post. Posts reference podcasts and product announcements through links rather than reproducing them.

Short posts built around a claim, a few supporting specifics and a named next step or link.

For brands planning a campaign

A host or editor can expect a collaborator who names sources and people, and who can carry a short, structured argument in writing. The trade-off is that his writing leans on external links; the underlying material should be checked before a campaign depends on it.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6 · Source 7 · Source 8

View example

View example

View example

View example

The post treats the appearance as editorial commentary, not a paid placement.

View example

No commercial terms are stated.

View example

Each uses their own hands-on experience as the example: Robert E. built a home security operations lab to test where AI helps and where it falls short, and Adams describes moving from finding exposures to helping customers complete response and remediation.

Robert E.'s posts are grounded in a laboratory build, direct commentary on threats to water utilities and incident readiness for organisations. Adams writes from a product-executive position, using product capabilities and cost figures to argue where security and insurance technology should compete.

Read original · Original 2

Each turns an episode into a written short argument for readers who did not listen.

Davison's episodes foreground legal consequences, regulation and crisis management, and are structured around guests he interviews. Adams's summaries foreground product strategy, how AI changes security roles and lessons on leadership and hiring.

Read original · Original 2

Levine's posts are awareness-oriented and position quantum-resistant security for critical industries, with less emphasis on a named product thesis. Adams ties AI to decision quality in insurance and to completing remediation workflows, giving each post a single commercial argument.

Read original · Original 2

The reviewed posts show someone who built a home SOC lab deliberately to test where AI actually helps in SOC workflows, where it falls short, and where people still matter, and who says plainly that firsthand experience was the point rather than opinions about AI replacing roles.

• The same person appears as a media-ready commentator on live incidents: a FOX 5 Atlanta segment on cyber activity against regional water systems, the suspected Iran link, and what utilities should do, with the position that prevention alone is not enough and that detection, rapid response, tested recovery plans and coordination between technology, operations and leadership are what count.
• For a cybersecurity software company, that is a strong fit if the campaign wants the detection-and-response argument made by someone who has run the tools, or wants a guest who can carry a critical-infrastructure resilience angle.

The tradeoff is range.

• Nothing in the reviewed material covers hiring criteria, team building, culture or product leadership, which is where much of the leadership half of this brief sits, so a leadership-led episode would still need Adams or another voice.
• The commentary is also incident- and resilience-focused rather than about how security products get built and sold, so a sponsor wanting to discuss product strategy or decision quality would get less.
• The record here is two posts, one dated April 2026 and one August 2026, with the linked broadcast segment not included, so the on-air positions are known from the post summary rather than the segment itself.

Examples: Source 1 · Source 2

The reviewed posts come from someone who runs the "In Case of Emergency" podcast and uses it to put specialists in front of an audience: one 2024 episode with two guests on the intersection of cybersecurity and business legality, covering evolving regulation, compliance frameworks affecting multinational companies, and international customer relationships under complex legislation; another episode with a colleague on cyber risk, the overlap between cybersecurity and the Internet of Things, and the need for greater female representation in the industry. That suits a campaign that wants to borrow an existing show brand, pair the sponsor with legal or compliance voices, or build an episode around several speakers instead of one.

The tradeoff is that the posts describe the episodes and the guests rather than setting out Davison's own positions, so a sponsor gets a platform, a format and introductions but not a clear operational argument to build the episode around.

• The two posts are also the oldest in this comparison, from January 2024 and July 2023, so current priorities and whether the show still publishes would need checking before any booking.
• Nothing here covers AI-driven security outcomes or product leadership in Davison's own voice, which is the centre of this brief.

Examples: Source 1 · Source 2

The reviewed posts argue that cybersecurity leaders cannot secure their own systems in isolation because third-party vendors affect their security posture, and that leaders must hold those vendors to the same standards and get assurances for shared data and systems.

• A second post announces that SonKsuru is aligning quantum-proof solutions to be accessible and affordable for critical industries such as law firms and the legal profession, and welcomes a former American Bar Association executive to its advisory board.
• For a cybersecurity software company, that makes Levine a credible voice if the brief targets third-party risk, governance frameworks, or the migration to post-quantum security, with a Forbes Technology Council byline attached to the first post.

The tradeoff is promotional proximity.

• The material carries SonKsuru product positioning, so a sponsor from a competing security vendor would be sharing the stage with another vendor's message, and the post language is more marketing framing than a tested operational argument.
• There is little here on hiring, culture or product leadership, so a leadership-themed episode would get less than it would from Adams.
• Both posts date from 2023, June and July, so whether these priorities are still current needs confirming.

Examples: Source 1 · Source 2