Your agent just ran kubectl. Was it supposed to?
AI coding agents have production access—file systems, shells, databases, MCP servers. But security tools weren't built for this. EDR can't distinguish intentional commands from prompt injection. Secrets managers don't know if the request came from an engineer or an agent.
The 2026 Agent Risks Technical Brief covers these blind spots, why existing tools miss them, and what controls actually work.
What's Inside
Sonnet 4.5 · ~/production-app
Was this request intentional or prompt-injected? Your security tools can't tell the difference.
About MintMCP
MintMCP is an agent governance platform. We provide visibility into agent behavior, policy enforcement for risky operations, and security controls for MCP servers.
SOC 2 Type II compliant
Continuously monitored via Drata with independent third-party audits. Compliance documentation available for enterprise customers.
Agent visibility
Complete audit trails of every agent action, MCP call, and data access. Know exactly what your agents are doing in production.
Policy enforcement
Define granular policies for risky operations. Block dangerous commands, restrict data access, and enforce approval workflows.
MCP security controls
Secure the Model Context Protocol layer with authentication, authorization, and real-time threat detection.
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Want the complete picture? Get all four resources on AI agent security:
Securing the Model Context Protocol
Technical deep-dive on data exfiltration, tool poisoning, and privilege escalation
Executive Guide to MCP & Enterprise AI Governance
What changed in 2026, why gateways matter, and a 3-phase deployment plan
SOC 2 Compliance with Model Context Protocol
Where MCP introduces audit exposure and required controls
Security Risks in AI Coding Agents(downloading)
The technical brief you're downloading
