iFixAi Audits AI Agents Beyond Evals

iFixAi targets a real gap: agents can pass conventional evals yet still misuse tools, bypass approvals, or make irreproducible decisions. Its strongest positioning is treating agents as operational actors rather than merely model outputs.

• –Combines adversarial red teaming with operational assurance across purpose, authority, workflows, responsibility, and evidence.
• –MCP and GitHub integrations make it practical for teams already building agents in Claude Code, Cursor, Codex, or similar tools.
• –Self-hosting and Apache 2.0 licensing reduce adoption friction for security-conscious engineering teams.
• –Judge-model scoring and broad inspection suites can improve coverage, but audit quality still depends on realistic fixtures, access to agent context, and evaluator reliability.
• –Most valuable for tool-using agents that can affect refunds, access control, customer data, or regulated decisions; less compelling for simple chatbots.