Cybersecurity Leadership Hub

AI risk doesn’t require a full security team to make real progress. Start with three practical controls: verify model provenance, track data lineage, and set up operational monitoring. These steps are implementable in weeks and deliver measurable risk reduction.

Dan Sorensen’s experience in AI risk and national security informs this approach and provides practical tools and documentation teams can use right away. Ready to lower risk with focused controls? Learn more: https://wix.to/vzRcbcA

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I served in the military and later as a CISO, and I’ve adapted disciplined, command-style cyber habits into practical procedures for critical infrastructure teams. These playbooks bring faster incident response, clearer accountability, and stronger audit readiness.

If your organization lacks formal GRC, change control, or documented processes, start with simple, repeatable steps: defined roles, staged change approvals, and scripted incident checklists. They reduce human error and speed recovery across healthcare, logistics, and contractor environments.

Learn how to implement these civilian-ready practices at https://wix.to/QifiWRE and ask how they can fit your team.

OT environments require leadership, not just tools. In this post I outline practical OT security leadership strategies that protect availability while managing real-world constraints: asset inventory and segmentation, risk-based prioritization, access controls, continuous monitoring, and tailored training.

I also cover building a security-first culture, partnering with cross-functional teams and external experts, and sustaining improvements through audits, talent development, and executive alignment.

If you lead security for government, defense, critical infrastructure, or a smaller organization without a mature GRC program, these actionable steps are designed to help you build resilient defenses and make better risk decisions.

Read more and use these frameworks to strengthen your OT posture: https://wix.to/dOQCsK6

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AI is changing how decisions are made — and changing the threats we must defend against. In this short read I outline why OWASP AI Exchange speakers and AI security experts are critical for government, defense, and critical infrastructure organizations.

Key takeaways:
• AI systems create new attack surfaces (data poisoning, model theft, adversarial inputs).
• Security must be integrated early: risk assessments, secure architecture, and continuous monitoring.
• Practical steps: engage experts early, adopt OWASP guidance, and invest in training.

If your organization relies on AI — in healthcare, logistics, finance, or defense — this article explains how to build resilient, trustworthy systems and where trusted advisors fit into that journey. Read more and consider how to prioritize AI security today. https://wix.to/Idsp2e0

Understanding the Role of OWASP AI Exchange Speakers and AI Exchange Security Experts Artificial intelligence is transforming industries rapidly. With this transformation comes new security challenges. Organizations in sectors like healthcare, defense, logistics, and finance must understand how to protect AI systems effectively. This is where AI exchange security experts play a cruci...

Blockchain was pitched as the fix for double-spend. Carbon markets are where that promise actually gets tested, the same project can earn credits across Verra, Gold Standard, and a dozen national registries, and buyers can't tell the difference.

My contribution to this Forbes Technology Council piece makes the case for a unified issuance ledger: one credit, one retirement per project. Boring, unsexy, and one of the highest-leverage fixes in the market.

Worth a read for where blockchain earns its keep in sustainability vs. where it's just narrative.

Sustainability: Blockchain’s Role In Boosting Transparency And Trust Blockchain can create shared, tamper-resistant records multiple parties can review and trust, which could help close persistent gaps in transparency and accountability.