# Mike Miller

Mike Miller is a cybersecurity professional and founder who helps organizations improve security. Their LinkedIn posts cover cybersecurity culture, AI security, and faster vulnerability remediation.

- Profile: https://b2binfluencer.marketing/creators/mike-miller/
- LinkedIn: https://www.linkedin.com/in/mikesportfolio
- LinkedIn followers: 150,864
- Topics: artificial-intelligence, cybersecurity, ai-security, application-security
- Based on 11 dated posts, latest 2026-10-10

## Summary

Mike Miller is useful for accessible LinkedIn posts on cybersecurity culture, AI security, and faster vulnerability remediation.

- Best for: Security vendors with a real workflow and a working link for sponsored explainers.
- Not for: Short promotional endorsements with no technical detail, minimal disclosure, or guaranteed pipeline in a named segment.
- Check first: Ask for results from three comparable posts and audience demographic or survey data.

### Takeaways

- Security culture means not sharing MFA codes or putting secrets into AI models.
- Vulnerability volume has outgrown manual find-and-fix security, requiring faster remediation.
- A weekly roundup covers cyber and AI news, including model releases and zero-day exposure.

## Main ideas

- **Security culture, not compliance training, protects an organization**: Mike Miller argues that expensive security infrastructure fails without a culture in which people are educated, communicate, and raise concerns. 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.
- **AI is a career opportunity and a security risk that requires verification**: Mike Miller treats AI as something to learn and use, while warning that using it safely means protecting secrets, verifying output, and understanding model safety decisions. The message is practical caution, not rejection of AI.
- **Vulnerability volume has outgrown manual find-and-fix security**: Mike Miller argues that AI-generated code and AI-assisted flaw discovery have made vulnerability generation outpace human remediation, leaving the old application security model of finding and fixing manually behind. The problem is less discovery than getting from detection to a verified fix.
- **Curiosity is the career skill that outlasts every technology wave**: Mike Miller frames a 30-year career as a series of changing tools, with learning as the constant. The advice: consume information, get hands-on, solve real-world problems, and teach what you learn. Technology changes; curiosity does not.
- **A curated news roundup helps people keep up with AI and cybersecurity**: Mike Miller says the pace of cybersecurity and AI development is too much for most people to track, making a recurring roundup with named sources and numbers useful. The format compresses the news into numbered items, source attribution, and a short takeaway.
- **Professional networks are built through participation, not collection**: Mike Miller argues that expanding a network and talking to people can open up opportunities. Relationships built by showing up and conversing have changed their life and career more than they could have imagined.

## Work to read

- [Thirty years of curiosity: from a helpdesk job to learning AI models](https://www.linkedin.com/posts/mikesportfolio_me-30-years-ago-i-was-learning-windows-95-activity-7508880529107300352-rofl)
- [A 150,000-person introduction thread](https://www.linkedin.com/posts/mikesportfolio_today-im-giving-tech-cybersecurity-ai-activity-7512859436911321088-rfZP)
- [Weekly cyber and AI news roundup](https://www.linkedin.com/posts/mikesportfolio_this-weeks-top-cyber-ai-news-is-mind-blowing-activity-7510684781962067968-PA33)
- [Cybersecurity Awareness Month: five things not to do](https://www.linkedin.com/posts/mikesportfolio_gerald-and-i-are-celebrating-the-first-day-activity-7511405190013517824-iitL)
- [AI-generated code and the vulnerability backlog (partner post)](https://www.linkedin.com/posts/mikesportfolio_appsec-cybersecurity-legitpartner-activity-7513561364796284928-428W)

## Brand relationships

- **Legit Security** (disclosed_partnership)

## Partnerships

Only one partnership arrangement appears in Mike Miller's posts: a disclosed sponsored LinkedIn post for Legit Security, published October 7, 2026, in which they walk through the vendor's agent-remediation workflow — understanding a vulnerable dependency, finding the safest upgrade, applying the fix, verifying it, and opening a pull request — and link to the vendor's self-guided tour. The post carries a #legitpartner hashtag and a closing line stating that Miller partnered with the company for the post, so the disclosure is explicit rather than implied. That example shows the working pattern a buyer would be paying for: Miller supplies the framing and cybersecurity argument, the vendor supplies a concrete product workflow and destination link, and the commercial relationship is named in the post itself. The other posts show the surrounding content Miller produces — a weekly cyber and AI news roundup, security-awareness prompts, a networking thread, and a career-reflection post — indicating where a partner's message would sit alongside non-sponsored work. Ask directly about pricing, turnaround, exclusivity, review rights, and disclosure wording before planning spend.

## Alternatives

- Ronen Slavin: Choose this creator when the campaign needs an executive voice already working in the remediation category, rather than a generalist explainer. 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.
- Jim Manico: Choose this creator when the campaign needs a security-engineering argument and a standards framing rather than a product walkthrough. 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.
- Salman Hussain: Choose this creator when the buyer’s problem is human-layer risk, governance and awareness rather than remediation throughput. 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.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/