Compare HumanAudit vs. Hyperproof

HumanAudit is an AI governance and compliance documentation service that enables organizations to create audit-ready AI compliance materials much faster than traditional consulting engagements. The platform builds documentation tailored to an organization's AI systems while aligning deliverables with frameworks such as ISO/IEC 42001, the EU AI Act, NIST AI RMF, Microsoft SSPA, and related security requirements. Customers complete a structured intake process, after which HumanAudit produces core compliance artifacts including Statements of Applicability, Fundamental Rights Impact Assessments, AI inventories, risk registers, Annex IV technical documentation, and post-market monitoring plans. The service is designed to automate repetitive documentation work that often consumes dozens of consulting hours, allowing compliance teams to focus on review, governance decisions, and legal approval instead of document creation. HumanAudit also creates mapping matrices that connect evidence across multiple regulatory and procurement frameworks, helping organizations answer customer security questionnaires more efficiently. Deliverables are provided in editable formats along with structured outputs that simplify future updates and internal collaboration. The platform supports organizations managing AI governance, machine identity security, and vendor assurance activities through a unified documentation approach. HumanAudit also offers downloadable compliance toolkits for teams that prefer to complete documentation internally while providing a faster done-with-you engagement for organizations with tighter deadlines.

Compliance work eats engineering time. Hyperproof exists to give that time back by automating the parts of GRC that don't need a human: pulling evidence out of GitHub, Jira, ServiceNow, Snyk, and cloud storage on a schedule, running recurring tests against high-frequency controls, and kicking off a task automatically the moment something fails instead of waiting for the next audit cycle to find out. Under the hood, Hyperproof maps one control to 160+ frameworks (SOC 2, ISO 27001, HIPAA, NIST, and others), so a control tested once can satisfy several standards instead of forcing teams to rebuild the same work per framework. AI agents handle the first pass on evidence review and gap-flagging, leaving humans to make the actual judgment calls rather than hunting down documentation. Teams using it report cutting audit prep by roughly 350 hours a year, a 66% drop in duplicate controls, and about $150K saved annually on control orchestration. It also scales to messier org charts, with the ability to scope controls by business unit or entity instead of flattening everything into one program. Built in 2018 out of the Seattle area, Hyperproof is used by engineering and security-heavy orgs like Reddit, Fortinet, Appian, and Outreach that are tired of treating compliance as a manual, spreadsheet-and-email process and want it to run more like the rest of their infrastructure: automated, monitored, and auditable.