RFP Checklist for Agentic AI Security Platform for Securing Employee AI Usage

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Solution Brief

Akto’s Agentic AI Security Risk Coverage

Akto’s Agentic AI Security Risk Coverage document provides a detailed overview of the AI Security Attack Matrix, featuring 10,000+ probes spanning model, runtime, and agentic layers.

It helps teams assess risks across LLM security, RAG integrity, AI safety and alignment, and agentic behavior, enabling enterprise-grade validation against modern threats such as goal hijacks, memory poisoning, model theft, and excessive autonomy.

Use this guide to:

  • Benchmark LLM and agentic security posture against OWASP LLM Top 10 and MITRE ATLAS tactics.

  • Understand adversarial strategies like prompt injection, data poisoning, and goal redirection.

  • Evaluate runtime protection, safety alignment, and governance readiness.

Download and learn how Akto protects MCPs, AI agents, RAG pipelines, and GenAI applications from real-world exploitation.

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Explore More Resources

AI Security issues in AWS Bedrock Cheatsheet

Brief mapping AWS Bedrock attack vectors - separating cloud misconfigurations from AI-layer threats, and outlining mitigations across AWS controls, DevSecOps, CSPM, and Akto security layers.

AI Agent Red Teaming Cheatsheet

Cheatsheet on AI agent red teaming - covering attack simulations like prompt injection and privilege escalation, mapping risks across workflows, with testing frameworks and remediation best practices.

AI Agent Guardrails Cheatsheet

Cheatsheet covering AI agent guardrails across input, processing, and output—highlighting risks like prompt injection and data leaks, with best practices, anti-patterns, and implementation guidance.

AI Security issues in AWS Bedrock Cheatsheet

Brief mapping AWS Bedrock attack vectors - separating cloud misconfigurations from AI-layer threats, and outlining mitigations across AWS controls, DevSecOps, CSPM, and Akto security layers.

AI Agent Red Teaming Cheatsheet

Cheatsheet on AI agent red teaming - covering attack simulations like prompt injection and privilege escalation, mapping risks across workflows, with testing frameworks and remediation best practices.