Agentic
AI Security
Actions Leak Louder Than Words. secure Actions, not Just prompts.
Secure by Default
BlueRock is built-in, not bolted-on. Native to the compute runtime, BlueRock provides rich monitoring and protection spanning agentic AI clients, tools, servers and data.
See & Secure What Agents Do
Sandbox
AI Agents
BlueRock sandboxes each client agent, denying command injection, remote command and control, unsanctioned binary execution and access to sensitive local assets. Process isolation keeps behavior deterministic and policy-bound, while a secure-by-default runtime sees and stops high-impact paths. No surprises. No hallucination side effects.
Control
Agentic Tools
BlueRock gives you visibility and control over tool access, seeing and stopping tool with strict allow-list governance. Client-to-tool manifests are monitored and protected. MCP tool advertisements are controlled, preventing MCP capabilities from becoming power tools for attackers.
Protect
MCP Servers
BlueRock sees and stops unsanctioned tool advertisements, tool poisoning, key leakage and token-smuggling. Real-time sandboxing of MCP processes prevents OS command injection, remote shell C2, path traversal and binary drift. Access to data sources is monitored and controlled. These guardrails eliminate entire classes of risk for highly-privileged MCP services.
Gate
Data Access
BlueRock sees which data resources are accessed by MCP services, enforcing zero-trust access privileges and applying egress gates to prevent data exfiltration.
Only approved MCP services are allowed to access approved data resources and execute sanctioned transactions.
Limitations of AI gateways & security agents.
Prompt
Filters
Securing AI agents requires seeing and controlling their actions, not just prompts. “Prompt filtering” solutions only address the tip of the iceberg for agentic AI architectures.
Agents Protecting Agents
Bolt-on security agents used to detect anomalies fall short for LLMs and agentic AI architectures, where logic is opaque, non-deterministic and dynamic. Such solutions watch attacks instead stopping them, while generating noisy alerts, complex policies and false positives.