Prompt‑injection

Preventing Data Leaks in AI SaaS Models

by

Data leaks in AI SaaS happen when sensitive content slips into prompts, retrieval indexes, embeddings, logs, tool‑calls, or vendor pipes. Prevent them by constraining what models can see (permissioned retrieval and minimization), what they can do (typed, policy‑gated actions), and where data can go (egress controls and private inference). Make privacy observable with immutable decision … Read more

Security Risks of AI SaaS Products

by

AI‑powered SaaS expands the attack surface: prompts, retrieval indexes, embeddings, model gateways, tool‑calls, and decision logs introduce new paths for data exfiltration, account takeover, and policy bypass. Treat AI features like high‑privilege automation endpoints: enforce identity and least privilege, harden retrieval and prompts against injection, constrain actions to typed schemas with policy‑as‑code, and monitor for … Read more