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.
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When Should an AI Agent Be Allowed to Act Without Human Approval?
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Every MCP Server Extends an AI Agent's Authority Boundary
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11 articles
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.
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.
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.
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.
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.
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.
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.
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.
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.
What AI Red Teaming Means for Autonomous Workflows
AI red teaming should test business actions, tool boundaries, and operating assumptions, not only model responses.
Securing AI Agents Before Production
A practical security checklist for teams preparing agentic workflows for enterprise environments.
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