Mike Miller

The distinction is between annual compliance training and a living culture: tools cannot compensate for everyday behavior, such as how people handle credentials or use AI.

In a Cybersecurity Awareness Month co-post with Gerald, Mike Miller lists things not to do: paste company records into ChatGPT, buy gift cards for an out-of-country boss, tape a password to a monitor, put secrets or API keys into AI models, trust AI output without verification, or share an MFA code.

• The post says security infrastructure that cost millions is no good without a strong cybersecurity culture.
• The list is presented jointly.

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The message is practical caution, not rejection of AI.

In a career reflection, Mike Miller says they are learning AI models and cyber risk and want to teach organizations how to protect themselves with AI.

• In the awareness post, the list warns against putting secrets or API keys into AI models and trusting AI output without verification.
• The news roundup covers OpenAI shelving a model release over safety and alignment standards and publishing how it decides a training run is safe to start.

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The problem is less discovery than getting from detection to a verified fix.

In a disclosed partner post, Mike Miller cites nearly 1,000 vulnerabilities in a September Patch Tuesday, described as a record, and says they had spent 30-plus years in tech without seeing those numbers.

• The post walks through Legit Security's agent remediation in five steps: understand the issue or dependency, find the safest upgrade, apply the fix, verify the fix, and open a pull request.
• The post discloses the partnership with the hashtag #legitpartner; product claims reflect the post's description.

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The advice: consume information, get hands-on, solve real-world problems, and teach what you learn. Technology changes; curiosity does not.

Mike Miller compares learning Windows 95, Windows NT, and networking in a first IT helpdesk job with learning AI models and cyber risk today.

• The post says the goal is to help companies feel better about security and closes with the line "Tech changes.
• Curiosity doesn't."

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The format compresses the news into numbered items, source attribution, and a short takeaway.

In the reviewed roundup, six developments include OpenAI shelving GPT-6.1 Astra over safety and alignment standards, as reported by Reuters; Citrix NetScaler zero-days at CVSS 9.5, with more than 50,277 potentially exposed instances identified by Unit 42; Anthropic's Claude Sonnet 5.5 release; OpenAI's safety documentation for starting training runs; an Artificial Analysis Cyber Index with launch partners Collinear AI, NVIDIA, IBM, and Vercel; and Meta's enterprise version of Muse.

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Relationships built by showing up and conversing have changed their life and career more than they could have imagined.

Mike Miller used a post to turn a network of 150,000 people into a meeting place, asking readers to share their professional experience, say what they do away from a keyboard, and reply to others' stories.

• They answered first with 30 years in tech and cybersecurity and time off at the lake, mountain biking, or driving with the Jeep's top off.
• The post calls expanding a network "the cheat code to future opportunity."

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A newcomer who reads only the news roundups will see an aggregator; this post shows a 30-year practitioner who frames their career around continuous learning, the lens through which the other posts are written.

Mike Miller pairs an early-career photo from a first IT helpdesk job with the work they do now, making the comparison the whole point: Windows 95, Windows NT and networking then; AI models and cyber risk today.

• The claim is not that the tools are similar, but that the habit is — "Tech changes.
• Curiosity doesn't."
• The closing advice is to use curiosity to consume information, get hands-on, and turn that into lessons that solve real-world problems.
• The post also states plainly that their current job is helping companies feel better about security.

For brands planning a campaign

For an advisory or co-created content role, this is the post to cite on credibility: it establishes long tenure and a teaching-through-experience voice without leaning on job titles or certifications.

• A brand looking for a practitioner who can speak to career-long adaptation and security culture can point here.
• For hard technical credentials, ask for supporting evidence.

It is the only post in the set that describes the audience composition and participation style directly, in Mike Miller's own words.

Mike Miller opens their network as a meeting place and asks readers to do three specific things: describe their professional experience, say what they do away from the keyboard, and reply to other people's stories.

• The post names the shared interests — technology, cybersecurity, governance/risk/compliance, AI, and "simply just being kind" — and describes the audience as decision makers, CEOs, CIOs, CISOs, directors, managers, practitioners and recruiters.
• They answer the prompt first, giving 30 years in tech and cybersecurity and describing off-hours at the lake, mountain biking, or driving with the Jeep's top off.
• Their stated belief is that expanding a network is "the cheat code to future opportunity."

For brands planning a campaign

The distribution model here is participation, not promotion.

• A brand can reach a large practitioner and decision-maker audience by giving people something to respond to; a straight product pitch would clash with the post's tone.
• Best suited to awareness or community briefs, or a collaboration where Mike's own framing carries the message.

One issue shows how Mike Miller compresses a week of security and AI news into a scannable list with named sources and hard figures — a reason to follow the account rather than just check headlines.

A recurring-format post: six numbered developments with named sources and numbers, including OpenAI shelving a model release over safety and alignment standards, as reported by Reuters; Citrix NetScaler zero-days at CVSS 9.5, with more than 50,277 exposed instances identified by Unit 42 as of September 27; Anthropic's Claude Sonnet 5.5, described as about 30% faster and cheaper; OpenAI publishing how it decides a training run is safe to start; a new Artificial Analysis Cyber Index with launch partners Collinear AI, NVIDIA, IBM and Vercel; and Meta's enterprise version of Muse.

• It closes with a save-and-follow prompt and the line that the best way to find opportunity is to keep learning and educate others.
• The sign-off is "Mike Miller | vCISO | Founder."

For brands planning a campaign

The roundup is the most natural sponsorship slot in this body of work, but the format only tolerates items that read as news.

• A vendor announcement works if it brings a real development and a source; a feature list would break the pattern.
• The named figures also give a brief a ready hook — vulnerability volume, model release timing, exposure counts.

It also explains why awareness work, not just tooling, runs through the account.

Mike Miller and a colleague named Gerald mark the first day of Cybersecurity Awareness Month with a list of "don'ts": pasting company records into ChatGPT, buying gift cards for a boss who is out of the country, leaving passwords taped to a monitor, putting secrets or API keys into AI models, trusting AI output without verification, and sharing an MFA code with anyone.

• The argument is direct: security infrastructure that cost millions is worthless without a strong security culture.
• Culture is not the same as annual compliance training; it means an organization that is educated, communicative and eager to raise what it sees.
• The post ends by asking readers for their own additions.

For brands planning a campaign

For a security-awareness or training vendor, this is the closest fit in the set: the post already argues that behavior and culture beat tooling spend, the claim an awareness product needs to make. A tooling vendor could also fit, but would need to connect the product to behavior change rather than present it as a purchase that solves the problem.

It is also the set's most technically specific post about remediation.

Mike Miller argues that AI-written code and AI-assisted flaw discovery have broken application security's two-decade-old find-it-fix model because vulnerability generation now outpaces human remediation.

• The post cites nearly 1,000 vulnerabilities in a September Patch Tuesday, described as a record, and 30-plus years in tech without seeing numbers like it.
• It then walks through a named vendor's agent remediation in five numbered steps — understand the issue or dependency, find the safest upgrade, apply the fix, verify the fix, open a pull request — and links a self-guided tour.
• The post states openly that the author partnered with the vendor.

For brands planning a campaign

This is the working template for a sponsored post from this account: open with an industry-scale problem, explain the mechanics step by step, link to something a reader can try, and disclose. A vendor brief that wants a product walkthrough within a broader industry argument can follow this structure; a short endorsement without the surrounding problem framing would not fit the account's approach.

It covers OpenAI shelving GPT-6.1 Astra over safety and alignment standards; Citrix Netscaler zero-days with a CVSS score of 9.5 and over 50,277 potentially exposed instances; Anthropic's Claude Sonnet 5.5 release; OpenAI's safety documentation for starting training runs; an Artificial Analysis Cyber Index with launch partners Collinear AI, NVIDIA, IBM, and Vercel; and Meta's enterprise version of Muse. The post attributes items to sources such as Reuters and Unit 42 and describes the pace of change as hard to keep up with.

Curated, numbered list with named sources and a short takeaway.

For brands planning a campaign

A cybersecurity or AI brand can work with Mike Miller on a sponsored or co-produced news briefing, provide timely research or product news for a roundup, or use the format to reach professionals seeking a concise scan of developments. The briefing depends on fresh information and source attribution.

Examples: Source 1

The post says attackers now find and exploit vulnerabilities faster with AI, and cites nearly 1,000 vulnerabilities in a September Patch Tuesday as a record.

• They highlight Legit Security's agent remediation, describing a workflow that understands the issue or dependency, finds the safest upgrade, applies and verifies the fix, and opens a pull request.
• The post discloses a partnership with the hashtag #legitpartner.

Problem-solution post with a five-step workflow and a linked product tour.

The post discloses a partner relationship through #legitpartner. Confirm payment terms directly; the hashtag alone does not establish them.

For brands planning a campaign

This is a direct fit for a security vendor selling remediation, AppSec, or vulnerability management.

• A brand can commission a sponsored deep dive, workflow explainer, or advisory piece on closing the gap between detection and verified fixes.
• Disclose any partnership, as the post does.

Examples: Source 1

It includes pasting company records into ChatGPT, buying gift cards for an out-of-country boss, taping a password to a monitor, putting secrets or API keys into AI models, trusting AI output without verification, and sharing an MFA code. They argue that expensive security infrastructure is no good without a strong cybersecurity culture, which they distinguish from yearly compliance training.

Question-led list with a call for comments and a co-author.

For brands planning a campaign

A security awareness, training, or culture-focused brand can collaborate on employee education, phishing or AI-safety campaigns, or a co-authored awareness series. The question-led format invites audience participation and can support a sponsored awareness-month push.

Examples: Source 1

They say they are learning AI models and cyber risk and want to teach organizations how to protect themselves with AI.

• The awareness post warns against exposing secrets or API keys to AI models and trusting AI output without verification.
• The news roundup covers AI safety and alignment decisions, including OpenAI's safety documentation for training runs and an AI cyber index for finding and fixing vulnerabilities.

AI-and-risk framing recurs across news, awareness, and career posts.

For brands planning a campaign

A cybersecurity company can position Mike Miller as a practical voice on safe AI adoption, AI governance, or securing AI-generated code. The topic supports webinars, sponsored posts, advisory content, or internal education for security teams.

Examples: Source 1 · Source 2 · Source 3

The post asks people to share their professional experience and what they do away from a keyboard, and to converse with others who post. They describe LinkedIn relationships as life-changing and say the network includes decision makers, CEOs, CIOs, CISOs, directors, managers, practitioners, and recruiters.

Community prompt with a personal icebreaker and explicit conversation rules.

For brands planning a campaign

A brand can sponsor or co-host a community thread, Q&A, or networking event with Mike Miller to reach security decision-makers and practitioners. This approach works better for relationship-building campaigns than direct product promotion.

Examples: Source 1

Their advice is to use curiosity to consume information, get hands dirty, solve real-world problems, and teach from the lessons. They say the goal is to help companies feel better about security.

Personal before-and-after reflection with a direct call for audience memories.

For brands planning a campaign

A brand focused on cybersecurity workforce development, mentoring, or lifelong learning can collaborate on career stories, early-career content, or an advisory series. This perspective adds credibility to education and awareness campaigns.

Examples: Source 1

They combine specific examples, lists, direct questions, and calls to comment or follow.

Formats observed across the reviewed LinkedIn posts.

For brands planning a campaign

A brand can match the format to its campaign goal: a news digest for timely reach, a partner explainer for product education, a question prompt for engagement, a community thread for relationship building, or a career reflection for thought leadership.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5

They describe the vendor's agent remediation workflow — understanding an issue, finding the safest upgrade, applying the fix, verifying it, and opening a pull request — and link to a self-guided product tour. The post discloses the commercial relationship rather than presenting the recommendation as independent.

Original disclosure

After seeing a record-breaking amount of vulnerabilities recently, I was more than happy to partner with them for this post. #appsec #cybersecurity #legitpartner

View example

Both write practitioner-facing analysis for security teams and anchor their arguments in recent industry reporting. Slavin cites the Verizon DBIR and a Forrester agentic development security landscape, while Miller cites a record Patch Tuesday and a five-step remediation process.

Slavin writes from inside a security vendor, framing the analysis around the company's positioning and resource hub, with named product categories and links to its own material.

• Mike Miller's remediation writing is shorter and tied to a disclosed partnership with another vendor.
• The rest of their output ranges across awareness culture, news roundups, and networking rather than staying on application security economics.

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Mike Miller describes the same shift from the practitioner side: vulnerability generation has outgrown manual find-it, fix-it work, and the goal is to close critical exposure faster. Both write in a structured, numbered format for a technical security audience.

Manico writes longer thesis posts with explicit predictions about tool categories and standards, and directly challenges people who dismiss AI's effect on cybersecurity. Mike Miller sticks to short, LinkedIn-native posts, ties the remediation argument to one disclosed vendor's process, and divides attention among awareness, news curation, and community building rather than sustained AppSec commentary.

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Mike Miller does similar translation work in the awareness list, turning AI and social engineering risks into specific things employees should and should not do.

Hussain focuses on regional risk and governance — executive impersonation and CEO fraud in the Gulf, browser consent and transparency, and AI feature governance — and ends posts with action checklists. Mike Miller covers a broader mix: US-centric news curation, vulnerability remediation tooling, awareness culture, and an explicit community-building practice.

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The two posts reviewed speak from inside a company building agentic development security.

• One reads the 2026 Verizon DBIR as a turning point: vulnerability exploitation passed stolen credentials as the number one initial access vector, median time-to-patch rose 34 percent year over year, and supply chain involvement reached 48 percent of breaches.
• It argues that the architectural answer is more defender-side autonomy: a context graph the agent can reason over; an action layer that distinguishes suggesting a fix from remediating a vulnerability; and trust controls such as confidence scores, blast radius and rollback paths.
• The second announces an Anthropic model release with cyberdefender safeguards lifted, argues that discovery has been commoditised and the bottleneck has shifted to remediation, and points readers to a company resource hub with guides and a partner panel.
• For a brief to help practitioners see where remediation tooling is going, this is closer to a strategic argument than a weekly news roundup, delivered by someone whose job is to hold that position publicly.

The posts serve company positioning as much as independent commentary: both name the creator’s own company as the builder answering the problem, and one closes with a link to its hub.

• A sponsored explainer would place one vendor’s product narrative inside another vendor’s marketing.
• The posts address security teams and buyers, not the broad professional network followed by the profile being compared.
• Before booking, ask whether the integration would be paid and request the rate card, sponsor policy and performance figures.

Examples: Source 1 · Source 2

One post argues that AI changes the economics of both finding and fixing vulnerabilities; AI-native engineering will increasingly replace standalone scanners, threat modelling tools, SAST, DAST, IAST and CVE scanners; and OWASP ASVS and AISVS become more important because they define what security means and what must be verified.

• The other rejects the “AI cyber is BS” position, citing an agent-swarm attack on RubyGems and noting that incident reporting lags capability by months.
• For a vendor arguing that discovery economics have changed and verification is now the bottleneck, this gives practitioners a substantive argument to weigh in on and a sponsor something meaningful to co-sign.

The argument is deliberately about business models collapsing, which can read as a critique of the tooling category a sponsor sells.

• A sponsor must be comfortable being placed inside that thesis rather than beside it.
• The writing targets engineers and uses acronyms and standards names that a general reader may need unpacked.
• This fits a technical advisory or co-authored position better than the sponsored explainer template already on the compared profile.
• Ask for the proposed sponsorship format before booking.

Examples: Source 1 · Source 2

One post describes rising executive impersonation and CEO fraud across the Gulf, with attackers using AI, deepfake voice and video, social engineering and public business information.

• It lists controls: verify financial requests through an independent channel, use dual approvals and segregation of duties, train staff on impersonation, assess executives’ public digital exposure, and run fraud and business email compromise simulations.
• The other covers reports that Chrome downloads large on-device AI models in the background and frames the issue as a question of consent, privacy, supply-chain trust, bandwidth and AI governance.
• For campaigns about security culture or fraud and impersonation risk in a named region, this is a closer fit than a find-to-fix remediation argument.

The content is advisory checklist material for security leaders and organisations, not close technical analysis of a product workflow.

• A remediation vendor would get little of the find-to-fix argument needed for a campaign built around remediation and would have to supply the technical substance itself.
• The regional examples suit a Gulf or executive-fraud campaign and narrow the fit elsewhere.
• Before booking, request the rate card, sponsor policy and performance figures.

Examples: Source 1 · Source 2