Featured Field Note
Agent-to-Agent Delegation Is an Authority Boundary
Why multi-agent delegation needs scoped identities, independent authorization, approval boundaries, revocation, and a reconstructable evidence chain.
Read Field Note
Insights
Useful before the first meeting.
Practical field notes and anonymous patterns for teams making autonomous AI safer to operate.
Latest Field Notes
Patterns worth carrying into production.
Agent-to-Agent Delegation Is an Authority Boundary
Why multi-agent delegation needs scoped identities, independent authorization, approval boundaries, revocation, and a reconstructable evidence chain.
By Hakan Şen · Sep 18, 2026
When Should an AI Agent Be Allowed to Act Without Human Approval?
A practical approach to bounded autonomy: match human approval to consequences, reversibility, authority, evidence, and tested containment.
By Krishnaveni Gorijavolu · Sep 18, 2026
Every MCP Server Extends an AI Agent's Authority Boundary
MCP security should treat every connected server as an extension of the agent's authority, with narrow permissions, clear identity, independent controls, and reviewable evidence.
By Hakan Şen · Sep 7, 2026
When Control Gaps Stack, AI Risk Compounds
AI control failures become enterprise exposure when authority is unmapped, controls are untested, ownership is unclear, and evidence is incomplete.
By Krishnaveni Gorijavolu · Sep 4, 2026
Krishnaveni Gorijavolu Named a 2026 Global Recognition Award Winner
Orbyntis Founder Krishnaveni Gorijavolu has been named a 2026 Global Recognition Award Winner, reflecting a mission to build trust into autonomous AI.
By Krishnaveni Gorijavolu · Aug 22, 2026
AI Trust Assurance: Can Enterprises Prove Their Agents Can Be Trusted?
As AI agents begin taking enterprise actions, organizations will need a continuous way to test, verify, and assure whether those agents remain trustworthy.
By Krishnaveni Gorijavolu · Aug 18, 2026
The Hidden Risk in AI Agents Is the Action Boundary
Enterprise AI agent risk becomes real where model output turns into tool use, data access, approval influence, or business action.
By Hakan Şen · Aug 14, 2026
Your Next Employee May Be an AI Agent. Who Is Doing the Background Check?
As autonomous agents take on business roles, enterprises may need AI employee IDs, onboarding, performance reviews, promotions, and offboarding.
By Krishnaveni Gorijavolu · Aug 14, 2026
The Guardrails Illusion: Are We Overestimating Their Role in AI Security?
Guardrails are necessary, but they are not enough to secure autonomous AI systems end to end.
By Krishnaveni Gorijavolu · Aug 3, 2026
What AI Red Teaming Means for Autonomous Workflows
AI red teaming should test business actions, tool boundaries, and operating assumptions, not only model responses.
By Krishnaveni Gorijavolu · Jun 24, 2026
Securing AI Agents Before Production
A practical security checklist for teams preparing agentic workflows for enterprise environments.
By Krishnaveni Gorijavolu · Jun 24, 2026Case Studies
Anonymous patterns. Reusable lessons.
No customer names, logos, exact metrics, or confidential implementation details.
Regulated Enterprise
Regulated Enterprise Agent Risk Assessment
An anonymous pattern for reviewing agent workflows before they interact with sensitive enterprise systems.
Explore Case Study