Akto Atlas Technical Implementation

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Whitepaper

Akto Atlas Technical Implementation and How does it work?

Akto Atlas enforces AI guardrails directly at the endpoint by monitoring files, processes, and runtime activity, and by intercepting AI interactions in the browser. It enables real time enforcement of policies without requiring root access or impacting user experience.

  • Detects MCP servers via file and process observation

  • Monitors runtime AI activity using user space proxies

  • Intercepts prompts and file uploads in the browser

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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.

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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.

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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.