Security Governance defines how TealTiger prevents agentic AI systems from becoming new attack surfaces.
The Security Governance Hub defines normative security controls for identity binding, authorization, isolation, and safe tool usage in AI systems.
As AI systems gain autonomy through tool use, data access, and side effects, traditional application security controls are no longer sufficient. This hub focuses on governance‑driven security—where identity, privilege, and execution boundaries are enforced deterministically.
What This Hub Covers
- Identity‑bound execution for AI agents
- Least‑privilege enforcement for tools and integrations
- Governance‑first handling of prompt injection
- Prevention of lateral movement and privilege escalation
- Audit‑grade security evidence at runtime
Why Security Governance Matters
Without security‑aware governance:
- Agents execute anonymously
- Tools inherit excessive permissions
- Prompt injection turns into real‑world impact
- Security incidents are detected after damage occurs
- Audit and forensic attribution breaks down
TealTiger treats security as a governance property, not a bolt‑on control.
Core Articles
- Security Governance
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The primary security governance model for identity, privilege, and execution control in agentic AI systems.
Related Insights
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These Insights explore how security controls produce meaningful governance assurance beyond technical guardrails: