How to Security Test AI Agents Before Launch
Still_Piglet9217 · reddit · 2026-07-08
A developer building an AI agent security testing tool sparks a discussion: most teams only test for accuracy and hallucinations post-build, completely overlooking security risks like prompt injection, system prompt leakage, and data exfiltration. They initially assumed that a "smart enough model" could handle security on its own. They are now asking the community whether they conduct malicious input testing before deployment, what their workflows look like, and what ultimately drives teams to take security seriously.
Related event: Developers Discuss Security Gaps in AI Agent Deployment(2 posts)→
More from coding & agent
- Autoresearch proposes packaging ML runs as studies with questions, analysis, and code diffs — morgymcg · 2026-07-21
- CHAP defines approvals, handoffs, and audit logs for human-agent workflows — DeliveryTechnical199 · 2026-07-21
- The author says Codex reached 20x and is now debugging spec decoding on a hybrid parallel setup — TheZachMueller · 2026-07-21
- Axcess adds an MCP connector for WCAG accessibility checks that scanners miss — modelcontextprotocol · 2026-07-21
- X post asks whether Cursor Composer, built on Kimi models, would also be banned — max_paperclips · 2026-07-21
- A developer’s Codex usage is draining pooled enterprise credits at a small company — Distinct_Relation_62 · 2026-07-21