Edge AI for Cybersecurity
Graduate research into edge anomaly detection using compact state-space models with larger reasoning systems operating centrally.
Topic
Security architecture, detection, and resilient operations.
6 connected portfolio, venture, and writing objects.
Graduate research into edge anomaly detection using compact state-space models with larger reasoning systems operating centrally.
A practical environment for testing local inference, orchestration, networking, observability, and security as one operating system.
A commercial direction for organizations that need useful AI autonomy without surrendering security, accountability, or operational control.
An early commercial thesis for practical anomaly detection that operates close to systems while preserving central investigative context.
Human approval, provenance, and permissions should shape an agent system from the beginning—not arrive as an afterthought.
A research note on giving efficient local models and larger central systems different jobs inside one security architecture.