Loading article…
Loading article…
Prompt injection, data leakage, and over-permissioned tools — the new attack surface.
Separate instructions from data, validate tool outputs, and never let retrieved content change agent goals.
Scoped API keys, allow-listed actions, and hard limits enforced outside the model.
Log every prompt, retrieval, and action with tenant context — for debugging and compliance.
AI adds a new attack surface — prompt injection, data exfiltration through model outputs, over-permissioned tools — on top of classic application security. Regulated industries can absolutely use AI, but only with architecture designed for it. This checklist reflects what we implement on every AI project and what auditors ask for.
| Threat | Example | Mitigation |
|---|---|---|
| Prompt injection | A document instructs the agent to email data externally | Instruction/data separation, output validation, tool allow-lists |
| Data leakage | Model reveals another tenant's data | Per-tenant retrieval scoping, RLS, tests that attempt cross-tenant access |
| Over-permissioned tools | Agent can refund unlimited amounts | Hard limits in code, approval tiers |
| PII exposure | Full customer records sent to a provider | Redaction, enterprise zero-retention terms, private endpoints |
We are an AI-first development company that designs, builds, and operates AI agents, LLM-powered applications, and AI-native web and Flutter mobile products. Every engagement starts with a free discovery call where we map your process, assess your data, and give you a fixed-scope plan with a timeline and estimate — including projected running costs. From there we ship weekly, measure against an evaluation set, and support your product after launch.
Frequently asked questions
Yes, with data minimisation, appropriate agreements (BAA/DPA), private or zero-retention deployments, and documented controls.
Red-team suites with known attack patterns run in CI, plus monitoring for anomalous tool calls in production.
Private endpoints or VPC-hosted open models for the most sensitive data; enterprise API terms with zero retention are sufficient for most.
FreshCodes is a new-age AI development company building AI agents, LLM-powered applications, and AI-native web and Flutter mobile products. Talk to us about your project.
Want help putting this into practice?
Talk to FreshCodes