Insights, white papers and case studies on AI agent readiness, access, runtime control and audit-ready evidence — written for security, risk and business leaders.
Agents act — they access tools, move data and trigger workflows. That changes the risk model.
A practical approach to surfacing unmanaged agents across the enterprise.
Designing approval gates that add control without killing throughput.
Why audit-ready evidence is what turns an AI pilot into a production system.
A method to surface, classify and assign ownership to every agent in the enterprise.
Permission boundaries that let agents work without over-granting access.
How hidden, manipulative instructions work — and how to detect them at runtime.
Building a value pool map and an investment narrative leadership can act on.
From scattered experiments to a risk-adjusted, board-ready portfolio.
Replacing one-off integrations with an approved connector and skill catalog.
Turning runtime activity into proof that satisfies risk and compliance teams.
Decision rights, governance forums and delivery roles for enterprise-scale agents.
A periodic briefing on agent security, governance and the practical work of taking AI agents into production. No noise — just useful guidance for security, risk and business leaders.
ZIRH Academy will offer structured learning for teams adopting agentic AI — covering governance, secure access, runtime protection and evidence. Register your interest to be notified at launch.
Book a session with our team — we'll point you to the right guidance and help you plan your next step.