AI Agent Security & Governance

AI Agent Security & Governance

AI agents operate with system access, data context, and autonomous decision capability. Without explicit security controls, governance frameworks, and observability, they introduce risk at scale. We help you deploy AI agents safely.

Services

• AI agent security assessment
• Agent guardrails and access control implementation
• AI agent governance framework design
• Agent identity and permissions audit
• Data governance for AI agent workflows
• Agent observability and monitoring setup
• AgentOps implementation — evaluation, logging, incident response
• AI agent red teaming and vulnerability testing
• Human-in-the-loop design and approval workflows
• DPDP Act compliance for AI agent deployments in India

Our Governance Framework

Data Boundaries

Define approved data sources, minimum necessary context, and data retention policies for every agent.

Human Review Gates

Specify who verifies what before a decision or system action. Consequential judgment stays with named people.

Access Controls

Confirm tool, account, and environment permissions before implementation. Document escalation paths.

Failure Handling

Document exceptions, fallback procedures, and incident response for agent failures or unexpected behaviour.

Audit Trail

Implement logging for agent actions, decisions, and human overrides — sufficient for compliance review.