AI & MCP Security
Secure AI agents, MCP tooling, and automation pipelines with clear boundaries, oversight, and control.
AI Agent Risk Assessment
Evaluate AI agents, permissions, data exposure, and execution boundaries.
MCP Security Review
Assess MCP tooling, API exposure, and execution context to prevent privilege creep.
Pipeline Guardrails
Define safe automation boundaries across AI-assisted workflows and integration pipelines.
How Automation Is Safely Implemented at NexaSec
AI-assisted automation is implemented with strict limits, transparency, and human oversight.
1. Explicit Scope & Capability Control
AI agents and MCP tools are constrained to defined tasks and APIs. No unrestricted execution is permitted.
2. Read-Only by Default
AI is primarily used for analysis, validation, and enrichment. Write access is enabled only where justified.
3. Human Approval for Actions
AI recommendations require explicit human approval. NexaSec does not deploy autonomous or self-modifying agents.
4. Traceability & Auditability
All AI-assisted decisions and actions are logged, explainable, and aligned with security and compliance expectations.
Typical AI & MCP Security Use Cases
AI-assisted tooling and MCP integrations are secured to provide insight and efficiency without introducing uncontrolled execution risk.
- • Reviewing AI agent permissions, scopes, and data access boundaries
- • Analysing configuration changes and outputs generated by AI tools
- • Securing MCP-based integrations and API execution paths
- • Validating AI-assisted workflows against security and compliance policies