06 · AGENT SECURITY ASSESSMENT
Agent Security Assessment
Secure the new generation of autonomous AI
Agentic AI introduces a different security challenge. Agents can reason, access data, interact with enterprise systems and potentially take actions on behalf of users or organisations.
Taskgentic.ai helps CSPs understand and manage the security risks associated with AI agents before they become production-scale risks.
We assess
- Agent identity and authentication
- Authorisation and access control
- Tool and API permissions
- Data access and isolation
- Prompt injection risks
- Agent-to-agent communication
- Excessive autonomy
- Sensitive-data exposure
- Model and supply-chain risks
- Human oversight and intervention
- Logging, monitoring and auditability
- Agent lifecycle management
Agent security principles
Least privilege
Agents should only access the systems and data required for their task.
Controlled autonomy
High-impact actions require appropriate approval and safeguards.
Traceability
Agent decisions and actions should be observable and auditable.
Isolation
Agents and tools should operate within clearly defined security boundaries.
Continuous monitoring
Agent behaviour should be monitored for anomalies and emerging threats.
Agent security assessment | Threat model | Risk register | Control recommendations | Security architecture guidance | Remediation roadmap
Confidence that your AI agents can operate at scale while maintaining appropriate security, control, accountability and resilience.