AI risk & accountability
Set the boundaries for AI adoption: what can be trusted, where human accountability stays, and how failures are contained.
AI. Cloud. Enterprise security.
I lead enterprise security programmes and advise on AI and cloud risk, connecting business priorities, technical decisions, and operational execution.
Featured session
Architecting Response Capabilities for AI agents and AI-on-AI Attacks
Designing detection, forensics, and response for environments where AI agents can be both targets and attackers.
The lab opens on GitHub. Public access is being prepared.
01 / Perspective
I’ve owned security programmes at global enterprise scale, managed security professionals, and led across teams and security operations. That responsibility shapes how I approach every security decision.
Start with business priorities. Make risk and trade-offs explicit. Set clear ownership, then give teams the direction and support to deliver. Security strategy has to work in day-to-day operations and under pressure.
Set the boundaries for AI adoption: what can be trusted, where human accountability stays, and how failures are contained.
Make security architecture serve business priorities. Choose controls teams can operate and address risk where it matters most.
Know which services must keep running, who makes decisions during an incident, and how recovery is tested.
02 / Writing
ISACA / 2024
How everyday habits shape a resilient security culture.
Read the article03 / Speaking
Conference talks on AI risk, cloud architecture, and incident response, connecting technical choices with their consequences for the organisation.
ISC2 Security Congress
Cloud Computing · Prague
With Pavel Krejsa
European Identity & Cloud Conference
Talk titles are shown in their original published language.
04 / Connect
Connect with me on enterprise security, AI and cloud risk, or leading security teams. For advisory work and speaking invitations, contact me directly.
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