Agent Identity & Trust Strategy Template

📋 What It Is

An 8-tab governance tracker and centralized agent registry with 196 live formulas that gives your organization a single source of truth for every AI agent's identity, credentials, risk posture, security controls, and compliance status. Think of it as the "employee onboarding + security clearance + access management" system — purpose-built for the non-human workforce of AI agents.

This isn't a reference document. It's an operational instrument you fill out, maintain, and present. Every agent gets registered with a unique identity, an accountable human sponsor, a credential lifecycle profile, and a per-agent threat assessment against 8 agent-specific attack vectors. A Trust Dashboard auto-calculates your organization's agent trust posture.

Includes 49 security controls mapped to EU AI Act, NIST AI RMF, SOC 2, GDPR, and OWASP LLM Top 10. A flat-table Risk Profile supporting up to 80 per-agent threat assessments. 15 pre-populated governance milestones spanning the 2025–2026 regulatory timeline. And a 40-term glossary covering the full agent identity vocabulary.

👥 Who It's For

• CISOs and security leaders who need to answer "how many AI agents do we have, what can they access, and what's our risk exposure?" with evidence
• IAM / identity teams extending their identity fabric to cover AI agents — evaluating Microsoft Entra Agent ID, Okta Secure AI, or Strata Maverics
• AI governance leads building agent oversight discipline — registering agents, assigning human sponsors, tracking trust levels, enforcing lifecycle management
• Platform architects designing identity and security for multi-agent systems — choosing between OAuth, mTLS, DIDs, and SPIFFE
• Compliance and GRC officers preparing for EU AI Act high-risk obligations (August 2026) and mapping controls to regulatory frameworks
• SOC teams monitoring agent behavior, detecting shadow agents, and responding to agent-specific incidents

⏱ When to Use It

• First agent deployment — establish the registry, credential standards, and controls baseline while the portfolio is small enough to get right
• Shadow agent discovery — register agents that exist outside IT governance. 80% of Fortune 500 companies have active AI agents, many ungoverned
• Agent onboarding — every new agent: Registry = birth certificate, Credentials = security clearance, Risk Profile = background check
• Quarterly governance review — re-assess trust levels, re-score threats, verify credential rotation every 90 days
• Pre-audit preparation — map agent controls to SOC 2, ISO 27001, or EU AI Act using the built-in framework references
• Post-incident response — downgrade trust levels, re-score risk, document lessons in the Policy Log
• Agent retirement — change lifecycle to "Retired," revoke credentials, remove access. Zombie agents with live credentials are a top-5 breach vector

📦 What It Produces

• Trust Dashboard — auto-calculated executive summary: agent count, lifecycle distribution, risk breakdown, controls pass rate across 8 domains, action plan progress
• Centralized Agent Registry — unique ID, human sponsor, autonomy tier, identity type (OAuth/mTLS/DID/Managed Identity/SPIFFE), protocol support (A2A/MCP), trust level
• Credential & Access Profile — per-agent credential lifecycle: auth method, provider, rotation policy, authorization scopes, delegation chain, HITL config
• Per-Agent Risk Assessment — 8 threat vectors scored (Likelihood × Impact), auto-classified Critical/High/Medium/Low, up to 80 agent-threat combinations
• Controls Compliance Report — 49 controls across 8 domains mapped to EU AI Act, NIST, SOC 2, GDPR, OWASP LLM Top 10
• Prioritized Remediation Plan — action items with named owners, due dates, P1/P2/P3 priority, verification methods
• Regulatory Timeline — 15 pre-populated milestones spanning 2025–2026 (EU AI Act phases, NIST CAISI, Entra Agent ID, AAIF)

🚀 How to Use It — Quickstart

• Step 1. Open Agent Registry. List every known AI agent — production, dev, staging. Fill: name, owner, human sponsor, domain, framework, lifecycle stage, autonomy tier, identity type, protocol support, trust level. Gaps ARE findings.
• Step 2. Switch to Credentials & Access. For each agent: auth method, provider, credential type/expiry, rotation policy, authorization scopes. Any "None" or "Unknown" = immediate action item.
• Step 3. Complete the Risk Profile. Score each agent against 8 threat vectors (prompt injection, data exfiltration, credential theft, etc.). Auto-calculates risk level from Likelihood × Impact.
• Step 4. Walk through Controls Checklist. Assess 49 controls across 8 domains as Pass/Fail/Partial. Each control mapped to regulatory frameworks.
• Step 5. Build the Action Plan. Create remediation items for every Fail/Partial control. Assign owners, set priority, define verification method.
• Step 6. Review the Trust Dashboard. Everything auto-populates. Present as your agent governance posture to leadership.

👁 Preview — What's Inside

8 Tabs, 196 Live Formulas

📝 Version History