Secure AI Agents that execute with speed and accountability
AI agents can plan, decide, and act across tools. We help you design these systems with safety boundaries, auditability, and operational reliability from day one.
What AI agents can do for your business
Move from isolated copilots to connected agent workflows that deliver outcomes, not just responses.
Model Operations & Runtime Defense
Agents monitor active AI systems to block adversarial attacks, detect model drift, and isolate compromised endpoints in real time.
Training Data & Pipeline Security
Agents scan ingestion pipelines for data poisoning, verify data lineage, and ensure sensitive datasets are scrubbed before learning begins.
Shadow AI & Access Governance
Agents discover unauthorized internal model deployments, audit API integrations, and enforce secure access boundaries across corporate LLMs.
AI Compliance & Learning Audits
Agents track evolving model behaviors, map performance metrics to frameworks like ISO 42001, and maintain real-time, audit-ready documentation.
The AI Security Fleet
Deploy Autonomous Guardagents to Monitor, Remediate, and Secure Your Pipelines Instantly.
Step 1: Contextual Integration
We connect agents via secure APIs to map your architecture, read internal documentation, and safely learn baseline behavioral patterns.
Step 2: Shadow Mode Validation
The agent runs passively, generating recommendations and simulating actions so human analysts can review decisions and build trust.
Step 3: AI Autopilot
You set clear policy boundaries, empowering the agent to independently neutralize critical security events within milliseconds.
Governance foundation for AI execution
Make autonomy safe by default with explicit control layers at every step.
- Identity and Access: Agent-specific identities, role-scoped permissions, and short-lived credentials.
- Policy Engine: Real-time allow/deny logic before agents call tools, query data, or trigger actions.
- Runtime Monitoring: Detect deviation patterns, unsafe retries, and abnormal chain-of-action behavior.
- Audit and Recovery: Full replay logs, incident timelines, and instant rollback paths for high-risk operations.
The AI Security Fleet
Deploy Autonomous Guardagents to Monitor, Remediate, and Secure Your Pipelines Instantly.
Contextual Integration
We connect agents via secure APIs to map your architecture, read internal documentation, and safely learn baseline behavioral patterns.
Shadow Mode Validation
The agent runs passively, generating recommendations and simulating actions so human analysts can review decisions and build trust.
AI Autopilot
You set clear policy boundaries, empowering the agent to independently neutralize critical security events within milliseconds.
Why Autonomous AI Agents?
Move beyond reactive security. Autonomous agents observe your AI stack continuously, decide within clear policy boundaries, and act in milliseconds to neutralize threats — all while producing audit-ready evidence for every action they take. Deploy in shadow mode first, then graduate to full autopilot once your team builds trust.