Independent auditing of AI agents to uncover misalignment
iFixAi is an independent auditor helping companies assess whether they can trust their AI agents. Unlike relying solely on evals and observability tools, its multifaceted audit includes 250 inspections across 69 categories of AI misalignment, combining AI red teaming, operational assurance, and philosophical, ethical, and sociological perspectives. It identifies failures under testing, explains their business implications, and provides evidence engineers can use to investigate and fix them.
In October 2025, I was the co-founder of iMe Life Ltd., where we were building bespoke AI agents for enterprises. One of the agents we built was a legal assistant for an in-house department.
That agent fabricated a document that didn’t exist. It then deceived the end user into believing they had created it and had simply forgotten because they were so busy at the time. The agent had access to tools like email and calendar.
We told our customer what had happened in full transparency. The customer cancelled our contract, and we decided to devote ourselves to AI misalignment.
That’s how iFixAi started.
We began as an open-source project. Within four months, it reached 15k+ stars, 2,000+ PyPI downloads, and 1,400+ forks. That response encouraged us to build a premium version with more inspections and detailed reporting on Operational Assurance and Compliance Alignment.
🔎 How can you trust your AI agents to do their jobs as intended, respecting your business’s goals, rules, and organizational structure?
An agent can execute the task it was asked to do and, at the same moment, do something nobody asked for that goes against the company’s policy.
⚠️ Complete a task while bypassing required approvals.
⚠️ Stay within technical permissions while exceeding its business authority.
⚠️ Follow malicious instructions hidden in documents, tickets, or other inputs.
The problem is real and complex. It is not confined to one discipline. It is not only a matter of cybersecurity, governance, or compliance.
iFixAi is the independent third party that audits an agent against its real job and rules. We combine AI red teaming, governance, operational assurance, and philosophical, ethical, and sociological perspectives, powered by more than 250 proprietary inspections.
The audit examines whether the agent follows its assigned workflows, respects authority boundaries, and acts according to the business’s requirements. Independent scrutiny also helps challenge assumptions that teams building and testing their own agents may share.
⚙️ You can start an audit in three steps:
1️⃣Connect your agent via GitHub or MCP.
2️⃣Verify the simulation environment. We build it around what your agent is supposed to do according to its configuration and setup: its workflows, roles, rules, permissions, and the tools it calls. You can review the summary or the full YAML.
3️⃣Select your inspection bundles and start the audit. Results are judged by AI models your agent never runs on.
Once the audit is complete, you receive:
📊 Operational Assurance findings in business terms. Business and risk teams can understand what went wrong, how severe it is, and its dependencies across the business.
🔍 Evidence engineers can act on. Review exactly what was tested, the observed behavior, and supporting evidence so your team can locate the issue and begin fixing it.
📋 Compliance Alignment reporting. Identified gaps are mapped to relevant frameworks, including the EU AI Act, NIST AI RMF, OWASP Top 10 for LLM Applications, and ISO/IEC 42001.
🏅 An “Audited by iFixAi” badge. Give your teams and external buyers a visible reference to the independent assessment, including the agent version, inspection coverage, and audit reference.
We built this for CTOs, CIOs, engineering teams, and risk officers who need to understand whether they can trust their agents with real business responsibilities.
We experienced the consequences ourselves. We want to help other teams uncover these gaps before they cost them a customer’s trust.
🎁 For the Product Hunt community, we’re offering 1,000 free audits on a first-come, first-served basis.
Head to ifixai.ai and use code PH1000IF to claim the offer.
💬 What would you need to see before trusting an AI agent with real responsibility in your business? Share your questions and feedback below.
About iFixAi on Product Hunt
“Independent auditing of AI agents to uncover misalignment”
iFixAi launched on Product Hunt on September 29th, 2026 and earned 357 upvotes and 42 comments, earning #1 Product of the Day. iFixAi is an independent auditor helping companies assess whether they can trust their AI agents. Unlike relying solely on evals and observability tools, its multifaceted audit includes 250 inspections across 69 categories of AI misalignment, combining AI red teaming, operational assurance, and philosophical, ethical, and sociological perspectives. It identifies failures under testing, explains their business implications, and provides evidence engineers can use to investigate and fix them.
On the analytics side, iFixAi competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how iFixAi performed against the three products that launched closest to it on the same day.
Who hunted iFixAi?
iFixAi was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of iFixAi including community comment highlights and product details, visit the product overview.
Ben Lang
Hey Product Hunt 👋 I’m Dim, co-founder of iFixAi.
In October 2025, I was the co-founder of iMe Life Ltd., where we were building bespoke AI agents for enterprises. One of the agents we built was a legal assistant for an in-house department.
That agent fabricated a document that didn’t exist. It then deceived the end user into believing they had created it and had simply forgotten because they were so busy at the time. The agent had access to tools like email and calendar.
We told our customer what had happened in full transparency. The customer cancelled our contract, and we decided to devote ourselves to AI misalignment.
That’s how iFixAi started.
We began as an open-source project. Within four months, it reached 15k+ stars, 2,000+ PyPI downloads, and 1,400+ forks. That response encouraged us to build a premium version with more inspections and detailed reporting on Operational Assurance and Compliance Alignment.
🔎 How can you trust your AI agents to do their jobs as intended, respecting your business’s goals, rules, and organizational structure?
An agent can execute the task it was asked to do and, at the same moment, do something nobody asked for that goes against the company’s policy.
⚠️ Complete a task while bypassing required approvals.
⚠️ Stay within technical permissions while exceeding its business authority.
⚠️ Follow malicious instructions hidden in documents, tickets, or other inputs.
The problem is real and complex. It is not confined to one discipline. It is not only a matter of cybersecurity, governance, or compliance.
iFixAi is the independent third party that audits an agent against its real job and rules. We combine AI red teaming, governance, operational assurance, and philosophical, ethical, and sociological perspectives, powered by more than 250 proprietary inspections.
The audit examines whether the agent follows its assigned workflows, respects authority boundaries, and acts according to the business’s requirements. Independent scrutiny also helps challenge assumptions that teams building and testing their own agents may share.
⚙️ You can start an audit in three steps:
1️⃣Connect your agent via GitHub or MCP.
2️⃣Verify the simulation environment. We build it around what your agent is supposed to do according to its configuration and setup: its workflows, roles, rules, permissions, and the tools it calls. You can review the summary or the full YAML.
3️⃣Select your inspection bundles and start the audit. Results are judged by AI models your agent never runs on.
Once the audit is complete, you receive:
📊 Operational Assurance findings in business terms. Business and risk teams can understand what went wrong, how severe it is, and its dependencies across the business.
🔍 Evidence engineers can act on. Review exactly what was tested, the observed behavior, and supporting evidence so your team can locate the issue and begin fixing it.
📋 Compliance Alignment reporting. Identified gaps are mapped to relevant frameworks, including the EU AI Act, NIST AI RMF, OWASP Top 10 for LLM Applications, and ISO/IEC 42001.
🏅 An “Audited by iFixAi” badge. Give your teams and external buyers a visible reference to the independent assessment, including the agent version, inspection coverage, and audit reference.
We built this for CTOs, CIOs, engineering teams, and risk officers who need to understand whether they can trust their agents with real business responsibilities.
We experienced the consequences ourselves. We want to help other teams uncover these gaps before they cost them a customer’s trust.
🎁 For the Product Hunt community, we’re offering 1,000 free audits on a first-come, first-served basis.
Head to ifixai.ai and use code PH1000IF to claim the offer.
💬 What would you need to see before trusting an AI agent with real responsibility in your business? Share your questions and feedback below.