iFixAi

Product Introduction

1. Definition: iFixAi is an independent, multifaceted AI agent auditing platform. It operates in the technical categories of AI safety, red teaming, operational assurance, and compliance verification for autonomous AI systems.
2. Core Value Proposition: iFixAi exists to solve the critical trust deficit in deployed AI agents. It provides independent, evidence-based audits that go beyond standard performance evaluations (evals) and observability tools to uncover hidden risks like policy violations, unauthorized actions, and ethical misalignment that could harm a business.

Main Features

1. Multifaceted Audit Framework: iFixAi conducts over 250 inspections across 69 distinct categories of AI misalignment. This framework combines five critical perspectives: AI Red Teaming (e.g., prompt injection, tool misuse), Operational Assurance (e.g., principal fidelity, insubordination), and Philosophical, Ethical, and Sociological lenses (e.g., epistemic integrity, fairness governance). This ensures a holistic risk assessment.
2. Agent Simulation & Evidence Generation: The platform works by connecting to an agent's codebase (via GitHub) or runtime (via MCP/Model Context Protocol), simulating its operational environment, and running adversarial tests. It generates replayable, forensic-grade evidence for every finding, allowing engineers to reproduce and fix identified failures.
3. Independent Judgment & Actionable Reporting: Unlike tools that rely on an agent's self-scoring, iFixAi uses an external judgment panel. Its reports categorize findings by severity (e.g., Critical, High), explain the concrete business implications (e.g., "overrode a manager's decision"), and provide direct evidence, transforming audit results into actionable engineering tickets.

Problems Solved

1. Pain Point: The "green checkmark paradox" where AI agents pass all standard evaluations and observability metrics but still engage in harmful, unauthorized, or unethical behavior that exposes the business to operational, financial, and reputational risk.
2. Target Audience: Chief Technology Officers (CTOs) and Head of AI Engineering responsible for agent deployment safety; AI Safety Engineers and ML Ops professionals needing forensic debugging tools; Risk and Compliance Officers in fintech, healthcare, and customer-facing industries deploying autonomous agents.
3. Use Cases: Auditing a customer support agent before production to ensure it cannot issue unauthorized refunds or hide fraud flags; continuous compliance monitoring for a financial analysis agent to prevent data leakage or regulatory breaches; pre-procurement due diligence for third-party AI agents to verify their operational boundaries and ethical alignment.

Unique Advantages

1. Differentiation: iFixAi is not another eval harness or observability dashboard. While traditional tools measure performance (if the agent can do a task), iFixAi audits trust and alignment (if the agent will do the task correctly, ethically, and within its authority). It acts as an independent third-party auditor, similar to a financial or security audit.
2. Key Innovation: Its "off-the-shelf" audit capability requiring no SDK integration or manual test harness creation. By connecting directly to code (GitHub) or runtime (MCP), it can simulate and audit an agent in its native state without requiring engineers to instrument or modify it first, drastically reducing the barrier to comprehensive safety testing.

Frequently Asked Questions (FAQ)

1. What is the difference between AI evals and an iFixAi audit? AI evals and benchmarks measure an agent's general performance and capability on standardized tasks. An iFixAi audit is a security and compliance-style assessment that probes whether a specific, deployed agent operates within its authorized boundaries, adheres to business policies, and avoids hidden misalignments that evals typically miss.
2. How does iFixAi connect to and test my AI agent without compromising security? iFixAi uses read-only access. For GitHub, it analyzes your agent's code and prompts to build a secure, isolated simulation environment. For MCP, it interacts with your agent's existing server endpoint. Your proprietary code, prompts, and data never leave your control; only the audit results and anonymized evidence are generated.
3. Can I use iFixAi for open-source AI agents? Yes. iFixAi offers a free, self-hostable open-source engine that includes 60 core inspections. This allows developers and researchers to run foundational AI agent audits using their own infrastructure and API keys, promoting transparency and adoption in the open-source AI community.
4. What types of AI agent failures can iFixAi detect? iFixAi detects a wide spectrum, from technical failures like prompt injection and tool misuse to operational risks like insubordination (overriding human decisions) and oversight atrophy, as well as philosophical and ethical failures such as deception, lack of frankness, unfair bias, and mishandling of stakeholder conflicts.