Bohdan Savchuk works in software quality and testing, with a focus on how products behave for real users. His posts also explore security testing for IoT devices and evaluating AI agents on real business tasks.
A requirement tells you what should happen; a customer shows what actually happens · "It worked in the demo" is not enough — and AI agents make that harder · Security testing belongs inside quality testing, not beside it
Bohdan Savchuk works in software quality and testing, with a focus on how products behave when real people use them.
The posts reviewed show Savchuk applying that perspective to IoT security and AI agents: functional tests may miss security risks, and an agent that sounds convincing may still make the wrong choice.
For a more accessible example, Savchuk turns a misunderstanding sparked by a T-shirt into a lesson about how customers can interpret the same product differently.
These posts make the work worth following for readers interested in practical QA, security testing, and evaluating AI in real tasks.
Savchuk connects testing principles to specific situations rather than treating QA as a checklist.
The T-shirt story explains why passing requirements is not the same as understanding a user's experience.
The IoT talk outline moves from how attacks happen to why functional testing misses risks and what a security-first workflow can look like.
In a separate post about AI agents, Savchuk focuses evaluation on decisions—what information an agent trusts, what action it takes, and when it asks for help.
Together, these examples show a consistent interest in testing how systems behave beyond the demo and under real-world conditions.
Bohdan Savchuk writes about software quality as a question of how real people and real systems behave, not whether a feature matches its specification.
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Across nine retained LinkedIn posts, a consistent argument runs through the work: verification against requirements is a starting point, and the harder job is anticipating interpretation, misuse, and failure in conditions the spec never described.
That same standard is now being extended from ordinary product features to IoT security and AI agents, which Bohdan Savchuk treats as things to be contained, operated, and evaluated on real business tasks rather than demonstrated.
Running alongside it is a second, quieter priority: staying sharp depends on switching off, and Bohdan Savchuk argues openly for hiking, weekends away from the queue, and family time as conditions for long-term focus and creativity rather than as rewards for finishing work.
A requirement tells you what should happen; a customer shows what actually happens
Bohdan Savchuk argues that testers who stop once a feature meets its requirements are checking only half the problem.
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Users arrive with different backgrounds, assumptions, and workflows, so the same product or the same words can mean something entirely different to them.
The practical consequence is an extra question before sign-off: not only "Does this work?" but "How might someone else interpret or use this?"
Requirements describe intended behaviour; customer perspective is what surfaces actual behaviour.
A T-shirt printed "Fear of God Essentials" drew repeated approaches from strangers over a couple of months.
Some asked religious questions; others assumed the wording reflected Bohdan Savchuk's beliefs.
Nobody was reacting to the clothing brand — they were reacting to the words on it.
The post uses that gap between intent and interpretation as a direct analogy for software testing, where a feature can pass every requirement and still be read, or used, in ways the team never considered.
"It worked in the demo" is not enough — and AI agents make that harder
Bohdan Savchuk's stated focus in software quality is how systems behave when real people use them.
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With AI agents, that focus widens to include the decisions an agent makes: which information to trust, which action to take, and when to ask for help. An agent can sound convincing and still choose wrongly, so the meaningful test is not whether it performs in a demonstration but how reliably it handles a real business task.
The post closes with a question aimed at the audience rather than answered for them: what would you need to see before letting an agent handle a customer request? That framing turns evaluation criteria into something a team has to name explicitly before deployment.
This is the same standard Bohdan Savchuk applies to ordinary features, moved onto non-deterministic systems. Where the T-shirt post asks how a person might interpret a feature, the agent post asks how a system might decide — and whether that decision can be trusted.
Security testing belongs inside quality testing, not beside it
Bohdan Savchuk argues that traditional QA is not designed to catch IoT vulnerabilities, and that functional testing misses critical risks in connected devices.
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The proposed correction is a security-first QA workflow: run real attack scenarios through the testing process and integrate security checks without slowing delivery. The underlying position is blunt — in 2026, testing quality without testing security is not really testing.
Bohdan Savchuk announced a BrowserStack QA Meetup talk in Los Angeles on April 9, titled "Hacked in Plain Sight: Why IoT Devices Are the New Cyber Battleground." The post's opening claim is that a smart lightbulb can open the door to an entire corporate network, and it lists what the talk covers: how real-world IoT attacks happen, why functional testing misses them, what a security-first QA workflow looks like, and how to add security testing without slowing delivery down.
AI agents are something you operate, not just prompt
Bohdan Savchuk describes the field as past the stage of trying ChatGPT prompts and into chaining agents, orchestrating workflows, and letting them run almost independently.
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Operating agents that way requires containment as much as ambition: somewhere they can be wrong without consequence. The recurring question in the post is managerial rather than technical — how do you manage a team that never sleeps?
Bohdan Savchuk frames the purchase of a Mac Mini not as buying a computer but as buying "a sandbox for AI agents" — a separate machine where agents can run, fail, retry, and evolve without touching the main workflow. Setting it up, the post says, feels less like coding and more like building a tiny digital company.
Switching off is part of doing the work well, not a reward for it
Bohdan Savchuk treats rest as a working input.
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Long-term consistency, focus, and creativity depend on having space to recharge, and staying mentally online around the clock erodes all three. The argument is stated plainly: work will still be there tomorrow, family moments will not.
One post describes returning to hiking after more than a month away — trails, birds, ocean views, no deadlines or notifications — and calls the result genuine happiness, with the lesson framed as making room for what matters rather than doing more.
A second post argues against treating weekends as catch-up days and describes time outdoors with family as the real reset button.
In the hiking post, Bohdan Savchuk credits a LinkedIn post by Kyle Gonzalez as the trigger, notes that Kyle Gonzalez's takeaway was about finishing what you start and focusing on the basics, and then states that his own takeaway was different.
Read against the agent-sandbox post, this is a tension rather than a contradiction: the same person designing a workflow for "a team that never sleeps" argues that the humans running it need to switch off completely for hours at a time. Both positions appear in the same period of posts, and neither is revised or withdrawn in the material reviewed.
This is the clearest starting point for understanding how Bohdan Savchuk connects software testing to security.
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It answers the question a training buyer will have: can this person speak concretely about IoT risk and secure QA workflows?
Bohdan Savchuk announces a BrowserStack QA Meetup talk in Los Angeles on April 9, titled “Hacked in Plain Sight: Why IoT Devices Are the New Cyber Battleground.”
The post states that a smart lightbulb can open a corporate network and argues that traditional QA is not designed to catch IoT vulnerabilities.
It lists what the talk covers: how real-world IoT attacks happen, why functional testing misses critical risks, what a security-first QA workflow looks like, and how to integrate security testing without slowing delivery.
For brands planning a campaign
For a cybersecurity training company, this post is direct evidence of a ready-made webinar or course topic: IoT security testing and secure QA workflows. The listed talk sections can be reused as module outlines, and the Los Angeles meetup shows an existing speaking format.
This post shows how Bohdan Savchuk is extending QA thinking to AI agents.
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A newcomer gets the central question—how to test whether an agent can handle a real business task—without needing prior AI background.
Bohdan Savchuk writes that “It worked in the demo” has never been enough for QA and that AI agents make this clearer.
The post says their work in software quality centers on how systems behave when real people use them.
With AI agents, that includes the decisions agents make: which information to trust, which action to take, and when to ask for help.
An agent can sound convincing and still make the wrong decision, so Bohdan Savchuk is focusing on AI agent evaluation—checking how reliably an agent handles a real business task.
The post ends by asking what someone would need to see before letting an agent handle a customer request.
For brands planning a campaign
This can support a second webinar or course module on evaluating AI agents in customer workflows. The final question gives a natural audience-participation hook and a way to frame practical evaluation criteria.
This item answers what hands-on AI work looks like for Bohdan Savchuk.
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It is useful for a reader who wants to know whether the interest in AI evaluation is theoretical or tied to building and running agent workflows.
Bohdan Savchuk writes that they did not buy a Mac Mini but “a sandbox for AI agents”—a separate machine where agents can run, fail, retry, and evolve without touching the main workflow.
The post says the field is past “trying ChatGPT prompts” and now involves chaining agents, orchestrating workflows, and letting them operate almost independently.
It asks how to manage “a team that never sleeps” and describes the setup as feeling like building a tiny digital company.
Bohdan Savchuk asks whether anyone else is running dedicated setups for agents.
For brands planning a campaign
This gives a concrete angle for advanced training content: sandboxing, orchestrating, and evaluating AI agents before they touch customer workflows. It also shows firsthand experimentation that can make a webinar feel practical rather than conceptual.
This is an accessible entry point to Bohdan Savchuk's core testing philosophy.
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It answers why customer perspective matters in QA, using a simple story instead of technical jargon.
Bohdan Savchuk describes wearing a T-shirt that says “Fear of God Essentials” and being approached about religion because people reacted to the words, not the clothing brand.
The post compares this to software testing: the same product or text can be interpreted differently by different users.
QA engineers may validate a feature against requirements and conclude it works, but customers bring different backgrounds, assumptions, and workflows.
Requirements tell testers what should happen; customer perspective helps discover what actually happens.
Bohdan Savchuk suggests asking not only “Does this work?” but also “How might someone else interpret or use this?”
For brands planning a campaign
For a training company, this is a memorable teaching example for a module on user-centered testing and customer-experience QA. It can open a course session before moving into more technical IoT or AI-agent material.
This post answers why Bohdan Savchuk may be credible to a cybersecurity audience beyond QA.
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It shows participation in an industry awards process that covers AI, cybersecurity, cloud, data platforms, and blockchain.
Bohdan Savchuk announces joining the judging panel for the 2026 SiliconANGLE & theCUBE TechForward Awards.
The post says the panel will review innovative solutions and technologies shaping AI, cybersecurity, cloud, data platforms, and blockchain, and describes it as a privilege to contribute alongside other industry experts.
The post’s hashtags include #SoftwareQuality, tying the judging role back to Bohdan Savchuk's QA background.
For brands planning a campaign
This supports positioning Bohdan Savchuk as an evaluator, not only a practitioner.
For a cybersecurity training company, it can justify inviting them to judge a student showcase, review vendor pitches, or co-host an expert panel.
It is weaker evidence for direct course delivery than the IoT and AI-agent posts.
Bohdan Savchuk describes buying a Mac Mini as a "sandbox for AI agents" rather than a personal machine, so agents can run, fail, retry, and evolve away from the main workflow.
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They frame the shift from prompt testing to chaining agents, orchestrating workflows, and managing semi-independent agent teams, and ask whether others run dedicated agent setups.
Practical sandbox setup and the metaphor of building a "tiny digital company" to explain agent operations.
For brands planning a campaign
Relevant for AI orchestration, agent infrastructure, or developer-tooling brands that want a creator who can discuss hands-on agent operations rather than only prompt tips.
Bohdan Savchuk argues that "it worked in the demo" is not enough for QA, and that AI agents add a new layer: which information to trust, which action to take, and when to ask for help.
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They focus on evaluating how reliably an agent handles a real business task, asking what evidence would be needed before letting an agent handle a customer request.
Moves evaluation from demo success to decision quality and reliability on real tasks.
For brands planning a campaign
Strong match for AI evaluation, QA automation, or agent-governance brands; can anchor a webinar or course on testing non-deterministic agent behavior.
In a BrowserStack QA Meetup talk, Bohdan Savchuk covers "Hacked in Plain Sight: Why IoT Devices Are the New Cyber Battleground."
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They argue traditional QA is not designed to catch IoT vulnerabilities and outline how real-world IoT attacks happen, why functional testing misses critical risks, and how to integrate security testing without slowing delivery.
Event talk built around practical attack examples and a security-first QA workflow.
For brands planning a campaign
Direct fit for the cybersecurity training brief: a webinar or course on IoT security testing and secure QA workflows.
Bohdan Savchuk uses a T-shirt wording experience to show that the same product or text can be interpreted differently by different people.
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They translate that into software testing: requirements tell you what should happen, customer perspective helps discover what actually happens, and testers should ask how someone else might interpret or use a feature.
Everyday analogy and one extra testing question: "How might someone else interpret or use this?"
For brands planning a campaign
Useful for customer experience, usability, or product-quality brands; supports talks on user-centered testing and requirements critique.
Bohdan Savchuk was on the judging panel for the 2026 SiliconANGLE & theCUBE TechForward Awards, reviewing solutions in AI, cybersecurity, cloud, data platforms, and blockchain.
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They describe it as a privilege to contribute alongside other experts recognizing products driving impact.
Award judging as a form of expert technology assessment.
For brands planning a campaign
Shows a credential in technology assessment; relevant to award programs, analyst-style content, or brands seeking a judge or evaluator voice across AI and cybersecurity.
Two posts deal with stepping away from work: returning to hiking after a busy month and realizing how much it mattered, and treating weekends as a reset with family rather than catch-up time.
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Bohdan Savchuk connects this to long-term consistency, focus, and creativity in tech and QA.
Personal reflection contrasting always-on work with recharging outdoors and with family.
For brands planning a campaign
Fits employer-brand, wellness, or sustainable-work campaigns; less direct for a technical cybersecurity training brief unless the angle is avoiding burnout in security and QA teams.
Bohdan Savchuk promoted and thanked attendees for an Anbosoft LA Tech Week basketball night at the Intuit Dome for founders, engineering leaders, and AI builders, explicitly saying there would be no presentations or hard pitches.
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A separate post thanks named guests and looks forward to more gatherings.
Low-pressure social event as community building and networking.
For brands planning a campaign
Useful for event sponsorships or community-focused brand campaigns in the LA tech market; the setting is networking rather than product education. A partner hashtag alone does not establish payment.
Bohdan Savchuk's posts document two kinds of business connection: event collaborations with software and media brands, and a community event tied to Anbosoft.
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None of the reviewed posts state a sponsorship, affiliate arrangement, paid placement, or employment relationship, and none carries a disclosure tag. The relationships below are limited to what the posts themselves state.
Anbosoft
Disclosed partnership
Savchuk posted that he and others were hosting an evening with Anbosoft during LA Tech Week 2026 — a Clippers vs.
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Nuggets game at Intuit Dome on October 14, billed as a gathering for founders, engineering leaders, and AI builders with no pitches — then thanked attendees afterward under the #Anbosoft tag. The posts do not say whether Savchuk owns or works for Anbosoft, and the relationship beyond co-hosting the event is unstated.
Savchuk announced he would speak at the BrowserStack QA Meetup in Los Angeles on April 9, presenting "Hacked in Plain Sight: Why IoT Devices Are the New Cyber Battleground" on IoT attack paths, why functional testing misses those risks, and how to fold security checks into delivery.
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The post gives no terms, payment, or duration behind the appearance.
Savchuk announced joining the judging panel for the 2026 SiliconANGLE & theCUBE TechForward Awards, reviewing entries across AI, cybersecurity, cloud, data platforms, and blockchain.
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The post states the role only; no commercial terms or ongoing engagement are described.
To follow Bohdan Savchuk's work, start with the argument that runs through nearly everything posted: meeting a requirement is only half the test.
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The post about a T-shirt that strangers kept misreading, and the post about evaluating AI agents, are the clearest statements of that idea — both ask how someone else might interpret or use what was built.
From there, the announced talk on IoT security applies the same standard to connected devices, arguing that security checks belong inside the testing workflow rather than beside it.
Readers curious about how agents get run day to day will want the post describing a separate machine bought as a sandbox where agents can fail and retry without touching the main workflow.
The shorter pieces on hiking and on weekends explain why the quality argument keeps returning to focus and rest, and the LA Tech Week posts show the community side of the work rather than the practice itself.
Washburn writes about pulling a newer risk area into an established discipline, which is the same move Bohdan Savchuk makes when arguing that security testing belongs inside QA rather than alongside it.
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Washburn describes building vulnerability management, incident response, zero trust, and AI security and governance at a large university, and argues that cybersecurity leaders should shape strategy well beyond traditional security operations. Both also treat AI risk as something that has to be governed in practice, not demonstrated.
Washburn's vantage point is running and maturing a security programme inside a large institution — hiring, policy, data governance, and institutional trust. Bohdan Savchuk's is testing and evaluation of products and agents, working from how a system behaves once real users touch it rather than from programme design.
Desai speaks at industry events and argues that the arrival of AI systems and non-human identities forces a rethink of how existing practice works — close in shape to Bohdan Savchuk's argument that agent decisions change what evaluation has to cover.
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Both write from conference stages and both keep the surrounding community visible, naming organisers and fellow speakers.
Desai works on identity and access governance: who and what gets access, how SaaS and identity should be governed together, and how non-human identities and service accounts should be managed.
Bohdan Savchuk works on whether systems behave correctly under test, including IoT devices and AI agents.
Desai's material is also more conference-centered, built around session topics rather than testing method.
Apeti makes the same structural argument as Bohdan Savchuk: new risk should be folded into processes that already exist rather than governed separately.
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Apeti writes that AI risk belongs inside existing risk management, supplier assurance, change control, and business continuity, and that responsible scaling means building controls that let innovation scale safely — the mirror of Savchuk's call to integrate security testing without slowing delivery. Both tie AI adoption to oversight and accountability.
Apeti frames the case through compliance and standards — ISO 27001, GRC, auditability, and a UK Cyber Security Council registration — and points at industrial environments where AI can influence physical operations. Bohdan Savchuk argues from hands-on quality engineering and agent tooling rather than from a control framework.
Bohdan Savchuk's LinkedIn following is the only measured audience figure in the reviewed material: 10,885 followers as of 7 October 2026.
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That establishes the size of the addressable LinkedIn audience, but says nothing about who is in it — no geography, age, gender, employer, occupation, or seniority breakdown was supplied.
For the cybersecurity training brief, the audience therefore cannot yet be matched against a buyer's target list on measured composition.
What the reviewed posts do show is subject matter that speaks to quality-assurance and security practitioners: IoT attack paths and security-first QA workflows, AI-agent evaluation, and a QA meetup talk in Los Angeles.
That is evidence of content appeal, not evidence that the followers are QA or security professionals.
Treat it as a hypothesis to verify, not as audience composition.
Selected examples: a post announcing the BrowserStack QA meetup talk "Hacked in Plain Sight: Why IoT Devices Are the New Cyber Battleground" (March 2026), and a post arguing that an agent can sound convincing and still make the wrong decision, which frames what an agent must demonstrate before handling a customer request.
A third post describes building a sandbox machine for running AI agents.
These show angles a webinar or course could take within Bohdan Savchuk's existing material.
Next step: ask Bohdan Savchuk for recent per-format results on comparable topics and depth — attendance, registrations, or engagement for the IoT security and secure-QA themes rather than general follower totals.
Separately, ask whether audience survey results or a platform demographic export exist for geography, age, and gender; those exports do not verify employer, occupation, or job seniority, so those professional attributes need their own documented source.
Different accumulated totals do not establish that a topic or format caused the difference.
Nothing in the material reviewed here sets out a partnership offering.
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There are no sponsorship packages, no stated rates or deliverables, no disclosure practice, and no inquiry route for commercial work, so a buyer cannot assemble a paid collaboration from what is documented.
What the posts do show is Bohdan Savchuk on stage and in the room: a BrowserStack QA Meetup talk in Los Angeles on IoT security testing, a seat on the judging panel for the 2026 SiliconANGLE and theCUBE TechForward Awards, and co-hosting an LA Tech Week basketball evening with Anbosoft that was open to founders, engineering leaders, and AI builders.
Those are speaking and community-host appearances rather than a published sponsorship product.
The closest thing to a buyer-facing format is a live technical session on secure QA and IoT risk, which matches the brief for a cybersecurity training webinar or course, but the operational terms for booking it are not documented and would need to be confirmed directly.
A cybersecurity training company brief: engage Bohdan Savchuk for a webinar or short course on IoT security testing and secure QA workflows.
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This is the strongest documented fit in the reviewed material.
The April announcement of the BrowserStack QA Meetup talk "Hacked in Plain Sight: Why IoT Devices Are the New Cyber Battleground" effectively arrives as a session outline a training company could reuse: how real-world IoT attacks happen, why functional testing misses critical risks, what a security-first QA workflow looks like, and how to integrate security testing without slowing delivery.
The post's central argument — that a smart lightbulb can open a corporate network, and that traditional QA is not designed to catch that — is the problem a security-training buyer sells against, and it is delivered in a speaking format Bohdan Savchuk has already been booked to present in Los Angeles.
Two adjacent themes widen the course: assessing AI agents by how reliably they handle a real business task rather than whether they worked in a demo, and running agents in a dedicated sandbox so they can fail and retry without touching live workflows.
Both give a training provider an advanced module for audiences that are now testing AI features alongside connected devices.
What is not established: nothing reviewed sets speaking terms, session pricing, deliverables, or a booking route, so the commercial arrangement has to be agreed directly rather than read off a published package.
Audience composition is unmeasured — the 10,885 LinkedIn followers recorded on 7 October 2026 give size only, with no breakdown by job function, seniority, or sector — so the training company cannot yet claim the following is made up of QA and security practitioners.
Nor is there any attendance or engagement figure for a comparable talk.
Before committing campaign budget, ask for recent per-session registration or attendance results on the IoT-security or secure-QA themes specific to that content.
When to choose a specialist
A materially different brief tests the other side of the ledger: an AI-agent platform vendor wants a paid, always-on advocacy campaign — monthly product-endorsement posts, a published rate card, guaranteed impressions or pipeline contribution, and standard disclosure wording it can slot into its own media plan.
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Against the reviewed material this is a poor fit.
The posts are practitioner commentary on how agents should be evaluated and operated, not promotional content about a specific product, and the closest thing to a paid appearance is stage and panel work rather than an advertising format.
No sponsorship packages, rates, deliverables, disclosure practice, or commercial inquiry route appear anywhere in the material, so the vendor would be negotiating a product it cannot see.
The judging role — assessing AI, cybersecurity, cloud, data, and blockchain entries for the 2026 SiliconANGLE and theCUBE TechForward Awards — is evidence of evaluating vendors, not of endorsing one, and should not be sold as an endorsement channel.
Nothing reviewed shows short-form video, ad-style creative, or any performance history the vendor's reach guarantee could be modelled on.
The gap is not subject-matter credibility; the topic overlap between Bohdan Savchuk's AI-agent work and the vendor's product is real.
The gap is that an always-on paid advocacy package with guaranteed reach is a commercial format that is not documented here, and the audience figure is a raw follower count with no composition behind it — so a reach promise would be built on nothing verifiable.
This does not mean no paid collaboration is possible; it means no offer is documented in the material reviewed, and the terms would have to be established directly rather than assumed.
A more workable use of the same vendor budget would be to fund a technical session or an evaluation-framework piece and treat reach as something to measure, not a term to guarantee.
A worked campaign example
Worked campaign angle for the cybersecurity training brief: "Secure QA for connected products" — one 60-minute webinar plus a two-module follow-on, built almost entirely from material Bohdan Savchuk has already presented.
Structure.
Open with the smart-lightbulb image: an inexpensive connected device becomes a route into a corporate network, and the QA process that passed the device never looked for that.
Segment one mirrors the announced talk's first half — how real-world IoT attacks actually happen and why functional testing misses them.
Segment two answers the buyer's practical objection: what a security-first QA workflow looks like and how security testing can be added without slowing delivery.
Segment three moves to the advance module — the same evaluation discipline applied to AI agents, framed around the question Bohdan Savchuk asks publicly: what would you need to see before letting an agent handle a customer request.
Close on the sandbox idea for both: give agents, and risky test cases, an environment where they can fail safely before they touch production.
For mixed or less technical audiences, the T-shirt post supplies an opener on how the same feature or wording means different things to different users — requirements tell you what should happen, customer perspective tells you what actually happens.
Assets and promotion.
One live webinar, one recorded module, a short pre-work reading list that points registrants at the AI-agent evaluation and customer-interpretation posts, and a follow-up email carrying the module outline.
Registration runs through the training company's own landing page.
Reuse of the existing talk's slides, recording, or title needs Bohdan Savchuk's agreement.
Why this composition.
The session outline already exists, which cuts preparation risk and lets the training company judge the fit from a demonstrated talk rather than a pitch.
The AI-agent segment reaches a second audience — teams testing automated agents — without diluting the security core.
The customer-interpretation material gives a non-technical on-ramp for mixed cohorts.
What to confirm before booking.
Speaking fee and delivery format (live remote, in-person in Los Angeles, or recorded); whether the existing talk recording or slides can be reused, and under what terms; recent registration or attendance numbers for a comparable session; whether any audience demographic export exists to support targeting claims.
Treat the promotional description of IoT attack examples as a content summary, not as verified technical detail — walk the specific examples and claims through with Bohdan Savchuk before they appear in course material.
Measurement that matches the brief.
Count registrations, attendance, and completion of the follow-on module, and collect post-session questions on secure QA workflows.
Follower growth is a weak proxy here; the training company is buying a teaching session, not reach.
Choose Ian Washburn when the training brief shifts from testing connected products to running a vulnerability-management or incident-response curriculum for a university or large enterprise IT audience.
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The reviewed posts describe supporting the full vulnerability management lifecycle — scanning, validating, prioritizing, and coordinating remediation across endpoint, server, network, identity, cloud, and SaaS environments — alongside SIEM and EDR triage, incident response, and building automated workflows, dashboards, and metrics.
A second post frames cybersecurity in higher education as an institutional trust, resilience, and governance function spanning vulnerability management, incident response, security operations, awareness and training, zero trust, AI security and governance, data governance, and policy.
That is the raw material for a governance-heavy or security-operations-track course, and it speaks to buyers who need to train staff responsible for protecting institutional data rather than shipping a product.
None of the reviewed posts covers software QA method, IoT device testing, or teaching.
The documented material is a hiring post for a hybrid vulnerability-management role based in South Bend, Indiana, and a career reflection on leadership priorities; there is no session title, outline, recording, or attendance figure to judge delivery.
A training company selecting Ian Washburn against the original IoT and secure-QA brief would have to build the core testing content from scratch, and the likely audience would be security operations and governance staff rather than QA engineers.
The trade-off is depth in vulnerability management and institutional security governance in exchange for losing the connected-device testing angle entirely.
Choose Sachin Desai when the course needs identity governance, non-human identity, or IAM architecture coverage.
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The reviewed posts document a named, delivered conference session rather than general interest: “Rethinking Identity Governance: How Unified SaaS and Identity Management Solve Modern Security Challenges,” presented at Identica 2025 in Bengaluru on 6 December 2025.
The follow-up summary lays out the argument — identity now includes bots, service accounts, workloads, and AI systems, making their management and governance one of the biggest security challenges — and lists adjacent topics from the event including non-human identities, AI governance, identity risk and hygiene, and the future of IAM architectures.
That gives a training company a specific session title, theme, and audience context to build a module around.
The reviewed topic is identity and access management, not QA or IoT device testing, so it cannot carry the original brief on its own; it works as an added module for audiences already responsible for identity controls.
The session was held in Bengaluru, which may suit an IAM community in that region better than a product-testing cohort elsewhere.
The evidence sits at announcement and summary level — session title, topic list, and a thank-you post naming other speakers — with no published outline, exercises, or attendance figures, so teaching depth and delivery quality would need to be checked separately.
The trade-off is a documented, narrowly defined IAM session in exchange for leaving the secure-QA workflow subject to another creator.
Choose Demawu Apeti when the buyer needs the course anchored in a recognised compliance framework and aimed at industrial or regulated environments.
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The reviewed AI-governance post argues that adoption must be matched by governance from an ISO 27001 and GRC perspective: integrate AI risk into existing risk management, supplier assurance, change control, and business continuity processes rather than creating governance in isolation, and in industrial settings treat human oversight, accountability, continuous risk assessment, and auditability as especially critical when AI can influence physical operations.
A second post records Associate Cyber Security Professional registration with the UK Cyber Security Council and frames it around recognised standards, ethical practice, and continuing professional development.
Together these support a compliance-led, UK-credential-linked course.
Neither reviewed post addresses QA testing practice, IoT devices, or secure QA workflow, so the core of the original brief is absent.
The ACSP post is a credential announcement rather than a teaching sample, and the AI-governance post is a short position statement without worked examples or a session outline.
The trade-off is a standards-and-governance framing for AI and industrial risk, useful for compliance audiences and for a course that needs a formal framework behind it, in exchange for losing the connected-product testing and audit-oriented QA material the training brief was built on.
This profile is built from nine public LinkedIn posts by Bohdan Savchuk, covering QA practice, customer interpretation, IoT security testing, AI-agent evaluation and orchestration, award judging, work-life balance, and Los Angeles tech community events.
Several posts point to 2026 dates, including an April 9 BrowserStack QA Meetup in Los Angeles, an October 14 LA Tech Week gathering at Intuit Dome, and the 2026 SiliconANGLE and theCUBE TechForward Awards; the follower count of 10,885 was recorded on 7 October 2026.
The material contains no talk recordings or transcripts, articles, code, or work outside LinkedIn, so the announced IoT security talk and any longer-form writing remain unexamined, and nothing supplied covers books, shows, or businesses that would round out a general search on this name.
Recent engagement
Across their last 8 LinkedIn posts, the median post got 16 reactions and 1 comments. Checked 2026-11-02.
