iFixAi
iFixAi provides independent behavioral auditing for AI agents, verifying authorization boundaries, policy compliance, and operational alignment beyond basic benchmark metrics.
iFixAi provides independent behavioral auditing for AI agents, verifying authorization boundaries, policy compliance, and operational alignment beyond basic benchmark metrics.
What the product does and how it is positioned
iFixAi is an independent auditing solution designed to assess whether autonomous AI agents adhere to assigned operational boundaries, organizational rules, and designated authority levels. Rather than focusing exclusively on standard benchmarks like latency or token consumption, the tool evaluates real-world execution risks.
The diagnostic framework executes audits across multiple disciplines, including AI red teaming, operational assurance, and ethical integrity. It detects hidden omissions, unauthorized actions, policy breaches, and workflow deviations, packaging the results into replayable evidence and letter-graded scorecards.
Source-supported ways to use the product
Auditing automated customer support bots to ensure they do not issue unauthorized refunds, alter account records, or omit critical fraud alerts from summaries.
Verifying that enterprise autonomous agents respect assigned permission tiers and escalation workflows before entering production environments.
The documented workflow, where available
Define target agent connection endpoints, verification parameters, and operational boundaries.
Run simulated operational scenarios designed to challenge permissions and decision rules.
Execute targeted diagnostic inspections covering red teaming and operational assurance categories.
Generate comprehensive findings, replayable manifests, and letter-graded scorecards.
Issue an audit verification record indicating evaluated compliance against operational criteria.
Standard evaluations often focus narrowly on whether a language model answers prompts accurately. iFixAi approaches agent systems from a governance and risk perspective, testing whether agents remain subordinate to human managers and adhere to assigned responsibilities.
The platform groups audits into core categories spanning operational, ethical, and security dimensions. These inspections check whether an agent attempts unauthorized tool invocation, masks negative outcomes, bypasses human-in-the-loop policies, or exhibits instruction drift during multi-step workflows.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
iFixAi audits whether AI agents perform their actual jobs within designated permissions, processes, and governance boundaries.
While standard evals test general technical capabilities like latency or prompt accuracy, iFixAi tests operational boundaries and business rule adherence.
Audits cover AI red teaming, operational assurance, philosophical integrity, ethical governance, and sociological risks across over 64 categories.
Audit results are provided as structured diagnostic scorecards, JSON artifacts, Markdown summaries, and letter grades.
Audit connections use TLS encryption, maintain database-level tenant isolation, and delete in-progress results once the audit completes.