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themayursinha/README.md

Mayur Sinha

> Staff Security engineer building deterministic control planes for AI agents.
> Currently: platform & product security · detection engineering · incident response.
> Building: deterministic enforcement at the tool boundary, not inside the prompt.
> Writing: https://themayursinha.com
> Prompts guide. Specs enforce. Boundaries decide.

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  1. mcp-visor mcp-visor Public

    Runtime policy enforcement and audit control plane for MCP tool execution. Deterministic, non-AI policy engine that intercepts MCP tools/call requests before execution.

    Go 2

  2. adversarial-ml-lab adversarial-ml-lab Public

    Interactive demonstrations of adversarial ML attacks & defenses. Prompt injection, context tampering, inference evasion

    Python

  3. mcp-llm-security-evaluator mcp-llm-security-evaluator Public

    Security focused tooling for testing how an LLM behaves when it is exposed to sensitive text, repository content, and MCP-style tool access. The project can run local smoke tests with a determinist…

    Python

  4. ctem-leader-lab ctem-leader-lab Public

    An interactive implementation workbench for security leaders moving from vulnerability management to Continuous Threat Exposure Management

    Python 1

  5. awesome-agentic-ai-security awesome-agentic-ai-security Public

    Curated tools, papers, and resources for securing agentic AI — runtimes, tool boundaries, MCP, and policy enforcement.

  6. security-assessments-scripts security-assessments-scripts Public

    This is a collection of various python scripts to get through security assessments.

    Python