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iFixAi

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iFixAi independently audits AI agents for whether they perform their assigned work while respecting permissions, approvals, organizational boundaries, and evidence requirements. It is designed for teams that need to examine deployed or developing agents beyond conventional benchmarks and evals.

O que é iFixAi?

iFixAi is an independent auditing product for AI agents. It evaluates whether an agent completes its assigned work while also respecting permissions, approval processes, organizational boundaries, and evidence requirements.

Its approach combines AI red teaming, operational assurance, philosophical, ethical, and sociological review. The stated audit scope covers more than 64 categories of possible misalignment, helping expose failures that ordinary task evaluations or benchmarks may not reveal.

Agents can be connected through GitHub or MCP, then taken through a connect, simulate, audit, report, and badge workflow. iFixAi says it reads only what the team connects and leaves the team’s code and prompts with them.

O que iFixAi pode fazer?

Independent agent audits

Reviews an agent from outside its own evaluation process instead of relying only on internal self-scoring or conventional benchmark results.

Multi-dimensional assurance review

Combines AI red teaming, operational assurance, philosophical, ethical, and sociological perspectives in one audit process.

Misalignment category coverage

The site describes more than 64 categories, including prompt injection, policy violations, tool-invocation governance, oversight, fairness, and systemic risk.

Simulation-based testing

GitHub-connected agents can be used to build a simulation environment before the agent is audited, allowing behavior to be examined in a controlled workflow.

GitHub and MCP connection paths

Teams can connect through GitHub or MCP. MCP connection can be initiated from Claude Code, Codex, Cursor, or VS Code using a prompt.

Audit reports and badge

The stated workflow ends with a report containing audit evidence and a badge associated with the audited agent.

Casos de uso

“Customer-support refund review”

Audit support agents that process refunds, fraud flags, account details, or ticket closures to check whether they hide information, bypass approval decisions, or make unauthorised changes.

“Pre-deployment authority checks”

Examine an agent before giving it meaningful authority over money, data, or customers, with attention to permissions, responsibility, and required workflows.

“Ongoing review of changing agents”

Use recurring inspections and reports for a live agent whose behavior, prompts, or operating context continues to change.

“Open-source self-hosted evaluation”

Run the open-source engine in a self-hosted setup using the team’s own model keys when a team prefers to operate the audit engine itself.

Perguntas frequentes

What does iFixAi audit?

It audits whether an AI agent performs its assigned job while staying within its permissions, following required workflows and approvals, respecting organizational roles, and producing behavior that can be reproduced and defended.

How can an agent be connected?

The site lists GitHub and MCP. With GitHub, iFixAi reads the connected agent’s code and builds a simulation environment. With MCP, a prompt can be pasted into Claude Code, Codex, Cursor, or VS Code to connect and start the audit.

What does the audit workflow produce?

The stated workflow is connect, simulate, audit, report, and badge. The site says the process returns an audit report with proof; the supplied material does not provide a fuller report schema.

Does iFixAi require code or prompts to be moved to the service?

The product states that it reads only what the customer connects and that the customer’s code and prompts stay with the customer.

Is there a self-hosted option?

Yes. The site lists an open-source engine that can be self-hosted with the customer’s own model keys. It describes this option as free and supported by the community.

Informações rápidas

Category
AI agent auditing and assurance
Connection methods
GitHub and MCP
Audit approach
AI red teaming, operational assurance, philosophical, ethical, and sociological review
Workflow
Connect, simulate, audit, report, badge
Self-hosted option
Open-source engine with customer-provided model keys
Source domain
ifixai.ai

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