● AI Security & Cybersecurity Leader
I help security and engineering leaders adopt AI without inheriting a new class of risk — pairing AI security, governance, identity, and Zero Trust with the realities of shipping on Azure and the cloud.
Industry certifications
01 Focus areas
Controls for LLM and agentic systems — prompt injection, MCP server security, and the OWASP Top 10 for LLMs.
Policy, risk, and assurance frameworks that survive audit and scale across the org.
IAM, agent and workload identity, least privilege, and continuous verification.
Multi-cloud architecture across Azure, AWS, and GCP — secure landing zones and platform guardrails.
Detection engineering, cyber logging, and SIEM/SOAR modernization to cut dwell time.
Multi-year roadmaps that connect security strategy to delivery and risk appetite.
02 Writing
Most enterprise AI governance stalls because it is written as policy and never wired into engineering. Here is a model that treats governance as a control plane — owned, measurable, and enforced where AI actually runs.
Agents turn a model from something that answers into something that acts. That single shift breaks most of the assumptions behind traditional application security. Here is a concrete threat model and a control set for agentic systems.
→ Advisory & speaking
Executive briefings, AI security workshops, board sessions, and hands-on advisory for teams adopting AI in production.
→ Playbooks
Frameworks and checklists you can put to work this quarter.
→ Stay in the loop
No noise. Just substantive notes on securing enterprise AI.