Agent Guard
Security for autonomous AI agents.
Agents autonomously plan, invoke tools, and communicate with external systems. Network gateways see egress and detect injection in traffic, but they cannot see reasoning chains, local tool calls, OS actions, or decision provenance.
Agent logic can be compromised without crossing the network. Control needs a verdict before execution.
Complete Agent Lifecycle Protection
A precise, preemptive, and operationally serious security control that intervenes exactly where autonomous systems interact with their environment.
SCAN
Scan agent skills and dynamic code for malicious content and vulnerabilities before deployment.
OBSERVE
Monitor reasoning, tool requests, arguments, and execution results in real time.
CONTROL
Intercept commands and calls before execution, requiring manual approval for critical actions.
Deep inspection at every layer
Agent Guard breaks down the black box of autonomous action, applying security checks at the model, skill, and tool execution boundaries.
Pre-Execution
- Skill ScannerStatic analysis of agent skills and loaded code to detect embedded payloads.
- MCP Server ScannerDetect malicious MCP (Model Context Protocol) servers and verify against a trusted registry.
- Model ScannerAudit models and configurations for embedded malicious components and unexpected modifications.
Observability
- What It DidFull logs of API calls, arguments, tools used, and raw execution results.
- Why It DecidedCapture incoming requests, generated plans, and reasoning traces leading to an action.
- Chronological ReconstructionMap the exact data and systems used to reconstruct decisions retroactively.
Every Call Checked
- Granular PoliciesAllow, block, or log specific action classes dynamically.
- Injection PreventionBlock dangerous OS commands, validate MCP arguments, and prevent prompt injection into tools.
- Intent VerificationCompare actual tool calls to the originally authorized task intent.
Containment
- Process InterventionInstantly stop the agent process if severe malicious behavior is detected.
- Runaway Loop DetectionDetect and halt recursive tool calls before resource exhaustion occurs.
- Fail ClosedSandbox generated code and block irreversible actions when confidence is low.
Protect the Network Layer
While AI.Guard acts as the enterprise gateway—inspecting prompts, masking sensitive data, and controlling model egress—it cannot see what an agent does locally on its host machine.
Protect the Agent Layer
Agent Guard lives where the agent runs. It captures reasoning for audit and reconstruction, while local tool invocations, MCP actions, and their arguments receive a policy verdict before execution.
Control your autonomous agents
Ensure your agents operate securely, with complete observability and pre-execution validation for every critical action.
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