Rick Catron works at GRIT Technologies, where Catron discusses managed IT, cybersecurity, and technology strategy for businesses. Catron's posts emphasize understanding a company’s needs before recommending solutions, clear ownership of IT and security, and responsible use of AI.
Rick Catron is most useful for grounded discussion of managed IT, cybersecurity, AI risk, and clear ownership for SMB leaders.
Best for
An SMB-focused educational webinar on AI risk and data exposure for leadership audiences.
Not for
A national consumer-tech or AI-gadget paid product launch wanting mass reach and video deliverables.
Key takeaways
AI is a force multiplier, but people are the risky part.
Employees can expose client or internal information by pasting it into free AI tools.
Unclear ownership, not missing tools, causes most IT and security problems.
Check first: Ask for recent engagement figures on cybersecurity and AI-risk posts before booking.
Main ideas
AI is a force multiplier, and the risky part is human · Know what your AI tools can see · Unclear ownership, not missing tools, causes most IT and security problems
Audience
4,066 LinkedIn followers · 9 posts dated 28 January – 7 October 2026 LinkedIn posts for review
Rick Catron works at GRIT Technologies and writes about managed IT, cybersecurity, business technology, and AI.
The clearest thread in their posts is that good technology decisions start with understanding the business, assigning responsibility, and weighing risk—not simply adding tools.
They apply that view to AI, warning that everyday use can expose client or internal information, and to cybersecurity, where unclear ownership and weak routines can matter more than a shortage of products.
The posts also show a lighter, community-minded side, including humor about appearing on a recruiting page and praise for a local colleague.
Catron turns broad technology concerns into practical questions an SMB leader can use.
A cybersecurity post names common operational gaps—such as unclear ownership of backups or identity—and offers checks about incident steps, recovery plans, and recent changes.
An AI post makes data risk concrete through the familiar example of an employee pasting client information into a free tool.
Across these examples, they favor clear ownership, safeguards, and business context over buying another product or treating technology as a line item.
The posts also describe a consultative approach: ask questions, listen, and be willing to say GRIT is not the right fit.
Follow them for grounded discussion of managed IT, security, and responsible AI use, especially when practical decisions matter more than technology hype.
Rick Catron's posts return to a handful of arguments.
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Technology problems are usually about clarity and ownership, not missing products.
AI is genuinely useful; the danger comes mainly from how people deploy it.
Managed IT should be sold through conversation and fit, not a spreadsheet, and the industry's trust problem needs plain dealing—including telling a client not to spend money.
Beneath those arguments is a consistent local, personal register: a Southeast Michigan business community, consultation rather than pitch, and public credit for others' work.
AI is a force multiplier, and the risky part is human
Rick Catron accepts that AI can do incredible things and rejects the science-fiction version of the risk.
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Their concern is people handing more responsibility to technology without safeguards, judgment, or accountability.
AI can analyze faster than people, automate decisions, and scale ideas almost instantly—including bad ones.
The question is whether users can responsibly handle what they build.
In a post that opens “Will AI end humanity?
Maybe,” they say they are not convinced AI is what we should fear most; the closer worry is someone saying, “I wonder what happens if we push this button?”
They close by asking whether we can use AI responsibly.
AI is useful, but the oversight question is what a tool can access.
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Rick Catron lists client information, internal documents, meeting transcripts, emails, financial data, and proprietary information as things AI tools can end up holding.
A business should know what it is feeding them.
“The robot seemed trustworthy” will not hold up in a security review.
A team member pastes client information into a free AI tool and says, “Relax.
I'm just asking it to clean up the wording.”
Rick Catron sees that ordinary moment, not an exotic attack, as the start of the problem.
Unclear ownership, not missing tools, causes most IT and security problems
Common failures in small and midsize businesses are organizational: tool sprawl with unclear outcomes; blind spots where nobody owns DNS, firewall, backups, or identity end to end; alert fatigue; critical knowledge living in one person's head; and configurations drifting as teams get busy.
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The fixes: define who owns what, standardize the stack where it makes sense, build a simple operating rhythm for patching and reviews, and align security with business risk rather than vendor marketing.
Three self-check questions: If an incident happened today, do you know the first five steps?
Do you have a clear runbook for backups and recovery?
Rick Catron says managed IT should not be a spreadsheet expense; a provider needs to understand the business behind the technology.
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When a prospect wanted a proposal quickly, without a meeting or hearing the recommendations presented, they declined to bid.
The reason was not the size of the deal but a difference in philosophy: the two sides probably were not right for each other.
Recognizing that before signing saves frustration.
The sequence was straightforward: they asked for a Teams meeting or onsite visit and were declined; asked to present the proposal and recommendations and were declined; then withdrew from the proposal.
The managed IT industry has a trust problem, and trust is built the boring way
Rick Catron argues the industry's reputation damage is partly self-inflicted: long contracts, surprise charges, constant upsells, outsourced support, poor communication, and recommendations clients do not understand.
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Owners should not have to wonder whether a recommendation is genuinely needed, whether it fixes a real problem or creates a monthly charge, who supports the team, or whether the provider will still care after signing. Trust comes from clear communication, honest recommendations, owning mistakes, doing what you said, and sometimes telling a client they do not need to spend money.
The post lists the owner's questions and points to “boring” behaviours—not a product or guarantee—as the answer.
A consultation should leave the client better informed, hire or not
Rick Catron distinguishes a call about a broken printer from the conversations worth having: a roadmap that does not support where the company is going; technology projects that keep expanding; IT conversations focused only on today's fire; no time with leadership to discuss strategy; a company that has outgrown its technology; or a workload spreading one person too thin.
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Their method is to ask questions, listen, and assess where things really stand. A good consultation leaves the owner knowing more about their business, whether or not they ever work with GRIT.
They say they are comfortable with the answer that GRIT is not the right fit, and joke about sending the client to “Gimbel's down the street.”
Local roots, culture, and public credit for other people
A recurring register, more than a technical argument: Rick Catron writes from a Southeast Michigan business context, posts tagged for Detroit and Michigan business, and describes GRIT as locally rooted, client-focused, invested in its people, and built for the long term.
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They also use the account to publicly recognize others' work.
A Friday Fanfare post recognizes Klara Wojtas of Branex Group, written from the perspective of a fellow Auburn Hills Chamber ambassador and praising her follow-through and relationship-led approach. Another post jokes that Rick Catron's photograph on the company careers page has become the recruiting strategy, then lists the culture reasons they are glad to be there.
This is the clearest statement of where Rick Catron thinks the danger actually sits, and whether they have a thought-through position on AI risk rather than a slogan.
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Catron pushes back on the idea that a robot waking up is the scary scenario.
The concern, in their framing, is humans handing more responsibility to technology without safeguards, judgment or accountability.
They call AI a force multiplier: it can do incredible things or help people make very bad decisions at a speed humans have never managed before.
The closing question is whether we can be responsible enough to use what we built.
For brands planning a campaign
Gives a webinar a ready-made spine: AI capability is not the risk; deployment discipline is. A guest expert who frames the problem this way can lead a segment on governance and accountability without slipping into hype or doom.
This is the most concrete AI-risk example in the material, showing how Catron thinks about day-to-day exposure rather than abstract threats.
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Catron lists the information an AI tool can end up holding: client information, internal documents, meeting transcripts, emails, financial data and proprietary material.
The trigger scene is a team member pasting client information into a free AI tool while insisting they are only cleaning up wording.
The position is not anti-AI: a business should know what it is feeding the tool, because "the robot seemed trustworthy" will not survive a security review.
For brands planning a campaign
Useful for a practical segment on data-handling policies for AI tools in small and mid-sized businesses: what gets pasted, which tools are used, who approves them and what guardrails exist. The audience can answer these questions about itself during a live session.
This is the clearest summary of Catron's operating view and how they diagnose a security problem.
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Catron argues most IT and security problems stem not from a lack of tools but from a lack of clarity and ownership.
The patterns they name: tool sprawl with unclear outcomes; blind spots where nobody owns DNS, firewall, backups or identity end to end; alert fatigue; documentation gaps where critical knowledge lives in one person's head; and security drift as configurations quietly degrade.
Their proposed fixes are defining who owns what, standardizing the stack where it makes sense, establishing an operating rhythm of patching, reviews, reporting and improvement, and aligning security to business risk rather than vendor marketing.
They close with three self-check questions: do you know the first five steps in an incident, is there a backup and recovery runbook, and can you say what changed in the last 30 days?
For brands planning a campaign
This is close to a ready-made audience exercise. Run the three questions live in a webinar and the room will produce immediate, visible answers—harder to get from a presentation on threat trends.
It shows what Catron does when the commercial incentive conflicts with their stated principle—more informative than a description of how they like to work.
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Catron describes an inbound request for a managed IT proposal with a short turnaround and only basic information about the environment.
They asked for a Teams meeting or an onsite visit, and to present the recommendation; when both requests were turned down, they declined to bid.
Their reasoning: managed IT should not be a line item on a spreadsheet, technology moves too quickly for that, and a provider needs to understand the business behind the technology.
Recognizing misaligned philosophies before signing, they conclude, saves everyone frustration later.
For brands planning a campaign
Supports a qualification angle rather than a sales one: how a business should evaluate prospective IT providers and what a refusal to converse signals about fit. It also gives a host a specific example to ask about how Catron chooses clients.
It answers the question a skeptical audience will ask about any managed IT guest: why believe the recommendations are not just another monthly charge?
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Catron says part of the industry's trust problem is self-inflicted: long contracts, surprise charges, constant upsells, outsourced support, poor communication and recommendations clients do not fully understand.
They list questions a business owner should not have to ask: Is this recommendation genuinely needed?
Does it fix a real problem or create a new monthly charge?
Who actually supports the team?
Will the provider still care after the contract is signed?
In their telling, trust is built the boring way: clear communication, honest recommendations, owning mistakes and occasionally telling a client they do not need to spend money.
For brands planning a campaign
A strong counter-position for a webinar aimed at a wary audience. It also lends itself to a panel that discusses friction in IT buying openly rather than marketing around it.
It explains Catron's role and pitch in their own words, and gives the clearest picture of what a conversation with them is actually like.
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Catron contrasts the call you do not need to make—a broken printer—with the ones worth making: your roadmap does not support where the company is going; technology projects keep expanding; your IT conversations are always about fixing today's problems; nobody sits down with leadership to talk strategy; your company has grown but your technology has not; or your workload is spreading you too thin across IT.
They describe a method of asking questions, listening, examining where things really stand and being comfortable when the answer is that GRIT is not the right fit.
Their standard: a good consultation should leave you knowing more about your business than before the conversation, whether or not you ever work together.
For brands planning a campaign
Sets the guest's expectation for the session: diagnostic and advisory rather than promotional. Useful when inviting someone to an educational webinar with SMB leaders.
Catron argues that many IT and security problems stem not from missing products but from unclear ownership.
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They point to tool sprawl, unowned responsibilities, alert fatigue, documentation gaps and security drift, then recommend assigning responsibility, setting a regular review rhythm and aligning security decisions with business risk.
Pairs a concise diagnosis with practical fixes and a three-question self-check on incident response, backup recovery and recent changes.
For brands planning a campaign
A strong fit for practical content on cybersecurity operations or business continuity: it gives audiences concrete questions to take back to their teams.
Rather than casting AI itself as the threat, Catron focuses on people handing decisions to powerful systems without enough safeguards, judgment or accountability.
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They describe AI as a force multiplier: it can scale useful work, but also bad ideas.
For brands planning a campaign
Useful for leadership-focused AI discussions that move beyond speculation to responsibility, oversight and decision-making.
Turn AI data exposure into an everyday business question
Catron makes AI security tangible with a familiar example: an employee pasting client information into a free tool to edit wording.
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They ask businesses to consider what their AI tools can access, including documents, email, meeting transcripts and financial or proprietary information. Their position is not anti-AI; useful tools need sensible guardrails.
For brands planning a campaign
A good basis for practical AI-security guidance, especially when audiences need to connect data policies with everyday workplace habits.
In one post, Catron explains why they declined to bid on a managed IT proposal after the prospective client would not discuss its needs or hear the recommendations.
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Their point: a provider needs to understand the business behind the technology, and recognizing a mismatch before signing can spare both sides frustration. In another post, they describe a good consultation as one that leaves a business better informed, whether or not it hires GRIT.
For brands planning a campaign
Relevant to content about evaluating managed IT providers: it gives buyers a reason to look for discovery, clear recommendations and mutual fit—not just a price on a proposal.
Catron names familiar sources of frustration with managed IT providers: surprise charges, upsells, poor communication and recommendations customers do not understand.
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They say trust is built through clear communication, honest advice, owning mistakes and sometimes telling a client not to spend money.
For brands planning a campaign
A useful angle for buyer education or provider-selection discussions, grounded in the concerns business owners may bring to the relationship.
Rick Catron's posts centre on GRIT Technologies, a Detroit-area managed IT and cybersecurity provider they say they work at.
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Branex Group and the Auburn Hills Chamber appear in a community recognition post.
GRIT Technologies
Employment
Rick Catron says they work at GRIT Technologies and posts about its managed IT, cybersecurity, and AI-risk services.
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Their posts describe how GRIT handles consultations, proposals, and client relationships, including a proposal they say was declined because the fit was wrong.
A Friday recognition post praises Klara Wojtas, a senior account executive with Branex Group, for her follow-through and relationship-first approach at the Auburn Hills Chamber.
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It notes that the staffing and engineering firm is hiring and calls it one to watch.
In the same post, Catron says they are a fellow Auburn Hills Chamber ambassador alongside Klara Wojtas, describing a community role rather than a commercial one.
Rick Catron writes short posts from inside a Southeast Michigan managed IT company.
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Start with the AI posts, which frame the risk as a human and governance problem rather than a machine one, including the everyday case of staff pasting client information into free AI tools.
Next, read the post on ownership and clarity, which lists the failure patterns they see most in small and midsize businesses and ends with three self-check questions a reader can answer alone.
Then explore the posts about how an IT provider should behave: declining a proposal when a prospect would not take a meeting, naming the industry's trust problem, and defining what a consultation should accomplish.
A lighter register runs alongside the technical one, covering local business community recognition, company culture, and a plain service description.
These posts show the geographic focus on Michigan and Metro Detroit most clearly.
AI riskResponsible AIData securityCybersecurityManaged IT servicesIT strategyVendor and partner selectionSmall and midsize business technologyBusiness ownersMichigan business communityShort-form LinkedIn postsCommunity recognition posts
Both write for organizations rather than other IT staff, turning security and compliance topics into plain guidance leaders can act on.
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Ward answers practical questions a business raises when a certification deadline or review changes (do we still need to prepare, what do we keep doing, where do we stand), the same explanatory move Catron makes when they separate AI usefulness from AI oversight. Both also name concrete steps rather than products: Ward lists maturing controls, closing gaps, and documenting policies; Catron lists who owns what, a standardised stack, and an operating rhythm.
Ward's frame is compliance and regulated contracting, with CMMC, NIST 800-171, and fractional CISO work aimed at organisations handling controlled information.
Catron's frame is the managed IT relationship at a small or midsize business, and their advice often focuses on hiring and trusting a provider.
Ward also writes from a nonprofit executive director role alongside the IT career, a leadership track their posts do not describe.
Both argue that technology leadership is a people problem before it is a tools problem, and both treat security as a business-risk question.
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Travis Bittecuffer states directly that technology leadership is about people, trust, communication, accountability, and service, and that organisations rarely struggle because of technology alone.
Catron makes the same point from the provider side, writing that most IT and security problems come from unclear ownership rather than missing tools, and that security should align to business risk rather than vendor marketing.
Both also single out identity and access as the place where security investment is most often bypassed.
Travis Bittecuffer writes at enterprise scale, covering infrastructure modernisation, acquisitions, and identity monitoring programmes across large departments. Catron writes for owners and small teams, with examples drawn from conversations, proposals, and consultations rather than programmes of work.
Both explain cybersecurity to business owners in the owner's language, insist cybersecurity is a business issue rather than an IT issue, and put the burden of asking good questions on the owner rather than on technical expertise.
McClendon's argument that an owner decides how much downtime the business can survive and which risks are acceptable echoes Catron's position that a provider's job is to explain and be questioned, not to sell.
Each offers a practical device for that conversation.
McClendon packages the argument in a published short book and builds a brand around owner education, while Catron's material stays at the post level and ties to a managed IT service. McClendon writes for an audience nationwide; Catron's local roots and community posts are specific to Southeast Michigan.
Rick Catron's posts show a specific but unverified audience: 4,066 LinkedIn followers, observed on 8 October 2026.
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For a guest-expert webinar on SMB cybersecurity and AI risk, that suggests a professional network in the low thousands, not a mass-media audience.
Invite them for their arguments, not to fill a registration target.
Nine posts from 28 January to 7 October 2026 show a consistent practitioner voice on managed IT ownership, AI as a data-exposure problem, and choosing an IT partner you trust.
Community and hiring posts use Detroit, Michigan, and Auburn Hills Chamber hashtags; these describe the account's content, not its readers.
The posts don't identify followers' geography, gender, employers, job titles, or seniority, and show no per-post impressions, comments, or reshares.
Before booking, ask for recent engagement figures on the cybersecurity and AI-risk posts and, if seniority mix matters, audience survey results covering job role and company size.
Until then, treat 4,066 followers as potential reach for a credibility-led appearance, not as a verified audience profile.
LinkedIn followers
4,066
LinkedIn profile account record with this evidence set · 2026-10-08
LinkedIn posts for review
9 posts dated 28 January – 7 October 2026
LinkedIn posts with this evidence set · 2026-10-08
Rick Catron’s posts do not describe sponsorship, advertising, or paid-partnership offers.
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Their work with other organizations appears to follow GRIT Technologies’ managed-IT sales process, not a creator-style partnership menu.
The approach starts with a consultation: Catron has written about declining a proposal when the prospect would not meet for a conversation or hear a presentation of the recommendations.
They describe a good consultation as one that leaves a business knowing more about its operations, whether or not the two sides work together.
The only concrete offer in the posts is GRIT Technologies’ managed-IT service list: live support from people answering the phone Monday to Friday, 7 to 5; around-the-clock monitoring; flat-rate budgeting instead of surprise bills; and a named strategic partner rather than a ticket queue.
The posts also include informal endorsements of other businesses and people—for example, a recommendation of Klara Wojtas and Branex Group to engineering and recruiting networks—but attach no terms, formats, or fees to those mentions.
A partner tag does not establish payment.
The posts provide no webinar-hosting terms, guest-expert arrangements, sponsored-content formats, media kit, rate card, or official partnership inquiry route.
A brand interested in Catron as a guest expert or sponsored voice should ask directly about scope, disclosure, and fees before making plans.
Need: an SMB-focused educational webinar on AI risk and data exposure, hosted by a managed-IT provider or security vendor that wants a practitioner guest, not a keynote.
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Around 45 minutes, leadership audience, no product pitch required from the guest.
This is the strongest fit Rick Catron's posts support.
Their published position gives a host a spine for the session rather than a pile of talking points: AI is a force multiplier, the risk sits with the people operating it, and the question is whether a business has safeguards, judgment and accountability in place before it hands over more responsibility.
That framing works for a room of owners and executives who are already using AI tools and have no policy for them.
Three things about the posts make the fit better than a generic cybersecurity slot.
First, the examples are operational and small-business sized.
The concrete scene is a team member pasting client information into a free AI tool and saying they are only asking it to clean up wording; the follow-through lists what those tools can end up holding, including internal documents, meeting transcripts, emails, financial data and proprietary material.
Second, the diagnostic instinct is teachable.
The five recurring patterns behind IT and security problems, followed by three self-check questions, can be run live with an audience in minutes.
Third, the trust problem is addressed head-on.
Naming the industry's own long contracts, surprise charges and constant upsells gives a wary SMB buyer a reason to listen to a managed-IT host rather than dismiss the session as marketing.
Buyer-behaviour notes: the regional centre of gravity is Southeast Michigan, so a Michigan or Metro Detroit audience matches better than a national one, and the register is consultative rather than promotional.
The only measured audience figure is a LinkedIn following in the low thousands, with no engagement data.
Ask for engagement figures before booking; invite Catron for the arguments and credibility, not as a registration driver.
When to choose a specialist
Need: a national consumer-tech or AI-gadget brand's paid product launch wanting mass reach and a set of short-form video deliverables from the creator, with performance targets attached to views or click-throughs.
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This fails on four separate counts, and the first two are structural rather than stylistic.
Scale and measurement.
The only audience figure published is a LinkedIn following in the low thousands, with no impressions, comments, reshares or demographic breakdown.
A launch that needs reach cannot be assessed, let alone promised, on that basis.
The composition of the following is unknown, so it cannot be shown to be consumer buyers rather than IT peers and local business contacts.
Commercial format.
No media kit, rate card, sponsorship policy or published inquiry route appears in Rick Catron's posts.
Every working relationship described runs through a managed-IT sales process, consulted and qualified first.
A brand wanting a priced, packaged creator deal would be building terms from nothing.
Confirm scope, disclosure and any fee in writing before planning around them; no partner tag or mention means payment should not be assumed.
Format.
The posts are written.
There are no videos, webinar recordings or long-form articles, so Catron's ability to deliver on camera, scripted or live, is not established by the posts.
Message conflict.
A consumer AI launch is usually sold as an easy productivity win.
Catron's published line is the opposite: usefulness is assumed, and the open question is what a business is feeding the tool and who is watching.
Asking for upbeat product endorsement would put the guest against their own material.
A brand that needs a mass-reach consumer creator should look elsewhere.
A worked campaign example
Worked angle for the SMB leadership webinar on shadow AI in small businesses: a 45-minute session hosted by a managed-IT provider, with Rick Catron as the guest expert and a host managing questions and slides.
The session runs in three segments that map directly onto Catron's posts.
Opening framing, about five minutes.
The guest sets the argument that the concerning part of AI is not a machine waking up but people delegating judgment without safeguards.
The host opens a live poll: who has a staff AI tool on a company device signed in with a company account?
The result is the hook for everything after it.
Exposure walk-through, about fifteen minutes.
The host keeps a running on-screen list of what an AI tool can end up holding, drawn from the categories already published: client information, internal documents, meeting transcripts, emails, financial data, proprietary material.
The anchor story is the employee pasting client detail into a free tool to tidy the wording.
The segment should end on the point that the tool being useful is not in dispute; whether anyone is watching what it sees is.
Live self-check, about ten minutes.
Three questions go to the room, one at a time, with a show of hands and a short discussion after each: if we had an incident today, do we know the first five steps; do we have a clear runbook for backups and recovery; can we say what changed in the last thirty days?
The same three questions become the one-page handout, so the exercise works after the session ends.
Close, about five minutes.
Trust, not tools: a short list of things an SMB owner should not be sold yet, delivered plainly.
That segment makes a managed-IT host credible in a room that has been upsold before, and it mirrors Catron's published argument that honest recommendations and occasionally telling a client not to spend money are how trust gets built.
Campaign extensions that flow from the same posts: a follow-up written piece on the three self-check questions for the host's blog or newsletter, and a second session on ownership gaps in DNS, firewall, backups and identity, which Catron has already diagnosed in a post.
Before the invitation goes out, confirm engagement figures on the AI-risk posts so the host is not booking blind.
Also confirm in writing that Catron appears as an independent expert rather than a paid endorser of the host's product, along with any fee and disclosure terms; the posts do not document a commercial format, so none should be assumed.
Keep the session free of claims about any specific AI product, since the guest's position is about oversight rather than tools.
Use this webinar concept to test other candidate guests, and carry the same three-segment structure into the alternatives shortlist.
Choose Thomas Ward when the webinar audience is defense-industrial-base suppliers and the subject is compliance rather than everyday AI use.
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The posts focus on a named regulatory question — the announced 60-day suspension of CMMC Phase II — and argue that organizations handling Controlled Unclassified Information still carry contractual cybersecurity duties under NIST SP 800-171 even if certification deadlines move.
The same post cites more than 26 years in enterprise IT, cybersecurity, compliance and executive technology leadership, and lists Ward's specific services: gap assessment, System Security Plan and POA&M development, and a fractional CISO or compliance advisor role.
For owners who answer to a prime contractor, that makes for a sharper 45 minutes than a general shadow-AI talk and supports a question-and-answer segment on audit preparation, a topic Rick Catron's posts do not cover.
The tradeoff is subject matter and register.
Ward's posts frame the problem as a compliance deadline paired with a services offer: a booking link for a complimentary one-hour strategy call.
A host looking for operational scenes that resonate with a mixed small-business audience — an employee pasting client information into a free tool, and a list of what those tools can end up holding — would not find them here.
The other post shifts entirely to interim nonprofit leadership, showing a wider leadership range but adding no AI-specific detail.
A host running the AI-risk webinar would have to drop the three-question live self-check in Rick Catron's posts and choose a session with more regulatory vocabulary than some leadership rooms will tolerate.
Choose Travis Bittecuffer when the host wants a session on identity and access rather than AI tools.
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The posts make one usable argument: the biggest technology risk most organizations face is a compromised identity.
An attacker who signs in as a legitimate user can bypass years of security spending, and the remaining gap for most organizations is visibility — spotting unusual behavior, monitoring privileged access and responding before a compromised account becomes a business disruption.
The post closes by asking readers how their organization handles identity monitoring and response, giving a host an audience question to use live without rewriting.
A second post offers a leadership framing — organizations rarely fail on technology alone, but because technology, business priorities and people have drifted apart — suited to an executive room that has already heard the introductory material.
The stated 25-plus years in technology leadership is offered as the basis for the alignment argument.
The tradeoff is that AI does not appear in the posts.
A host committed to an AI-risk webinar would be substituting an adjacent subject, identity and access, and losing the details that make the AI-risk webinar land: the free-tool pasting story, the categories of data an AI tool can end up holding, and the argument that responsibility sits with the people operating the tool.
Bittecuffer's posts use short declarative paragraphs, with no example, walkthrough or named incident.
A host planning a demonstration-heavy session would have to supply most of the content, while the guest provides the framing.
The audience question is also unresolved: the posts address technology leaders rather than owners, and provide no audience size, engagement figure or commercial terms.
Choose Thomas McClendon when the room is business owners with no technical staff and the goal is teaching them what to ask rather than what to buy.
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The posts announce a book, 7 Cybersecurity Questions Every Business Owner Should Ask, written for the person across the desk rather than an IT reader.
They describe owners who believed their technology was handled until they realized which questions they had never asked.
A second post turns that into a position a webinar can be structured around: cybersecurity is a business issue, not an IT issue, and the owner — not the person configuring the firewall — decides how much downtime the business can survive and which risks are acceptable.
The book also gives the host a ready-made handout or registration giveaway that the other candidates' posts do not provide.
The tradeoff is depth and freshness.
Both posts introduce and sell the book; one includes a purchase link.
The argument reads as a positioning statement rather than a teaching demonstration.
There is no AI-specific content or worked example for an audience to follow, so the host would have to supply the AI data-exposure walk-through and self-check questions.
The session would sit closer to a general awareness talk than the AI-risk webinar that prompted the search.
The posts are also the most clearly aimed at small-business owners of the three.
For a room of IT leaders, compliance staff or technology executives, the ask-your-provider framing will read as introductory.
Rick Catron's nine LinkedIn posts cover AI risk and data exposure through AI tools, security ownership and drift in small and midsize businesses, declining a managed IT proposal when the fit was wrong, the managed IT industry's trust problem, what a consultation should accomplish, a service description, company culture, and a Chamber recognition post for another professional.
Catron's LinkedIn account had about 4,066 followers as of 8 October 2026.
The similar-creator comparisons in the discovery section cover two posts each from Thomas Ward, Travis Bittecuffer, and Thomas McClendon, and compare subject matter and teaching approach rather than hiring scenarios.
The posts do not display publication dates, so no sequence over time is claimed.
No videos, webinar recordings, or long-form articles appear in the posts here, so on-camera or live delivery cannot be assessed.
No media kit, rate card, sponsorship policy, or published inquiry route appears in the posts here, so paid partnership terms are not published.
The posts do not establish signature books, shows, or earlier career work, and that part of the wider name-search picture still needs primary sources.
