AI agent security: how to protect your automation from prompt injection and data leaks
The security challenge
When you deploy AI agents that can execute code, call APIs, and access databases, you're giving them enormous power. That power comes with risk:
- Prompt injection — Malicious input that tricks agents into doing things they shouldn't
- Data exfiltration — Agents accidentally leaking sensitive information
- Privilege escalation — One compromised agent accessing another agent's resources
- Supply chain attacks — Compromised third-party APIs or models
How Samsarix approaches agent security
The Kavach Agent
Kavach is the dedicated security-review agent. Authoritative enforcement still belongs to server-side authentication, authorization, validation, tenant, rate-limit, and policy boundaries; an LLM agent is not the security perimeter.
Key Security Measures
1. Tenant Isolation
Protected backend paths are designed around tenant-aware authorization and data-access boundaries. That posture requires route and query coverage tests; the existence of a tenant field alone is not proof of isolation.
2. Input Validation
Server-side validation is required at each trust boundary, including agent commands, API calls, and webhook payloads. Coverage must be maintained as new routes and integrations are added.
3. Scope-Limited API Keys
External integrations should use scoped credentials with the least permission the configured action needs. Credential scope is provider-specific and must be verified during setup.
4. Audit Logging
Security-relevant actions should emit attributable audit events without placing secrets or unnecessary personal data in logs. Missing events and retention gaps must remain visible rather than being described as a complete trail.
5. Rate Limiting
Configured per-user, route, provider, or agent limits can reduce abuse and runaway cost. Thresholds and failure behavior vary by boundary and require direct tests.
Common mistakes to avoid
- Don't store secrets in prompts — Prompts can be logged, cached, or leaked
- Don't give agents admin access — Principle of least privilege applies to AI too
- Don't skip input validation — Even "internal" data from other agents should be validated
- Don't ignore error messages — Stack traces and error details can leak sensitive information
Review the security posture. See Samsarix security → Validate controls and plan limits against your own threat model before production use.