Agentic AI Security Framework

An Agentic AI Security Framework is a cybersecurity framework that addresses security controls, threat mitigation, and compliance requirements specific to agentic ai system development, deployment, and operation.

• AKA: AI Agent Security Framework, Agentic System Security Model, AI Agent Cybersecurity Framework.
• Context:
  • It can typically implement Agentic AI Security Framework Secret Management preventing agentic ai security framework credential exposure through agentic ai security framework secret scanning and agentic ai security framework push protection.
  • It can typically establish Agentic AI Security Framework Access Control managing agentic ai security framework user authentication, agentic ai security framework authorization policys, and agentic ai security framework privilege escalation prevention.
  • It can typically provide Agentic AI Security Framework Supply Chain Protection through agentic ai security framework dependency scanning, agentic ai security framework action pinning, and agentic ai security framework provenance verification.
  • It can typically enforce Agentic AI Security Framework Data Protection ensuring agentic ai security framework private data isolation, agentic ai security framework pii handling, and agentic ai security framework information classification.
  • It can often enable Agentic AI Security Framework Threat Detection monitoring agentic ai security framework suspicious activity, agentic ai security framework unauthorized access, and agentic ai security framework anomalous behavior.
  • It can often integrate Agentic AI Security Framework Compliance Controls for agentic ai security framework regulatory requirements and agentic ai security framework industry standards.
  • It can range from being a Basic Agentic AI Security Framework to being an Advanced Agentic AI Security Framework, depending on its agentic ai security framework threat sophistication.
  • It can range from being a Development-Focused Agentic AI Security Framework to being a Production-Focused Agentic AI Security Framework, depending on its agentic ai security framework deployment environment.
  • ...
• Examples:
  • Agentic AI Security Framework Control Categorys, such as:
    • Agentic AI Security Framework Secret Protection implementing agentic ai security framework oidc authentication, agentic ai security framework credential rotation, and agentic ai security framework access token management.
    • Agentic AI Security Framework Code Security providing agentic ai security framework vulnerability scanning, agentic ai security framework static analysis, and agentic ai security framework dependency auditing.
    • Agentic AI Security Framework Runtime Protection monitoring agentic ai security framework agent behavior, agentic ai security framework tool usage, and agentic ai security framework external communications.
  • Agentic AI Security Framework Implementation Patterns, such as:
    • Agentic AI Security Framework Zero Trust Pattern requiring agentic ai security framework continuous verification and agentic ai security framework least privilege access.
    • Agentic AI Security Framework Defense in Depth layering agentic ai security framework multiple controls and agentic ai security framework redundant protections.
    • Agentic AI Security Framework Secure by Design embedding agentic ai security framework security considerations in agentic ai security framework development lifecycle.
  • Agentic AI Security Framework Threat Vectors, such as:
    • Agentic AI Security Framework Prompt Injection protecting against agentic ai security framework malicious input and agentic ai security framework behavior manipulation.
    • Agentic AI Security Framework Data Exfiltration preventing agentic ai security framework unauthorized data access and agentic ai security framework information leakage.
  • ...
• Counter-Examples:
  • Traditional Application Security Framework, which lacks AI-specific threat considerations and agentic system vulnerabilities.
  • AI Model Security, which focuses on model protection rather than comprehensive system security.
  • General Cybersecurity Framework, which provides broad security guidance rather than agentic AI-specific controls.
• See: Cybersecurity Framework, AI System Security, Agentic AI Repository Governance, GitHub Actions Security Framework.

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