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// Thought Leadership
Deep dives into architecture patterns, security strategies, and lessons learned from 16+ years in enterprise tech.
Eight runnable AI security labs I built: prompt injection, MCP exploits, membership inference, adversarial ML, policy-as-code, provenance, and AI GRC.
A working map of AI security: the token-stream problem, OWASP LLM Top 10, MCP and agent risks, adversarial ML, and the governance that ties it together.
How I red team a multi-agent SDLC platform before launch: excessive agency, data isolation, and orchestration integrity, with the controls that hold.
A technical look at how Cyron.io secures APIs: an eBPF kernel agent that mirrors traffic out-of-band, behavioral baselines, and LLM-based forensics.
Deep technical analysis of Ivanti EPMM zero-day RCE vulnerabilities. Exploitation mechanics, defense patterns, and Cyron.io API security integration.