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.
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Haast is an AI-powered compliance engine that helps enterprises eliminate manual marketing reviews and move faster with confidence.
It uses AI agents to automatically detect and resolve regulatory and brand risks across content, websites, and social channels. By learning each company’s risk tolerance, Haast ensures consistent, policy-aligned decisions without slowing teams down. Marketers can check and fix content before it goes live, while legal teams gain faster, more reliable oversight without being overwhelmed by approvals. Haast works across text, images, PDFs, video, and web content, supporting both pre-launch checks and continuous monitoring of live assets. Embedded directly into existing workflows, it transforms compliance from a bottleneck into a scalable, automated system.
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Drata
Drata is an agentic trust management platform for automating governance, risk, compliance, security assurance, and third-party risk management processes. Its Enterprise GRC capabilities bring controls, risks, policies, and evidence into a centralized system while allowing organizations to map controls across multiple frameworks and reuse compliance work. Continuous compliance automation collects evidence, monitors controls, identifies issues, and provides guided remediation to help teams remain audit-ready as their environments change. Drata's Trust Center provides a secure location where prospects, customers, and other stakeholders can review an organization's security posture, request documents, and obtain answers to trust-related questions. AI-powered questionnaire automation supports the questionnaire lifecycle from intake and triage through processing and response generation, using an evolving knowledge base to draft consistent answers. Third-party risk management uses AI agents to create assessment criteria from existing questionnaires, collect documents from vendor Trust Centers, perform risk assessments, and conduct vendor follow-ups. Drata also provides AI Agent Governance capabilities designed to discover AI agents within an enterprise, enforce organizational policies before agent actions execute, and produce records of agent decisions for auditing. The platform supports frameworks and regulations including SOC 2, ISO 27001, ISO 42001, GDPR, HIPAA, PCI DSS, DORA, FedRAMP, CMMC, and custom frameworks. Drata is designed to support organizations ranging from startups establishing their first compliance programs to enterprises managing governance, risk, compliance, and trust requirements across multiple business units and regions.
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ComplianceAgent
ComplianceAgent builds self-serve EU AI Act compliance tools. Its current product is the EU AI Act Article 50 Transparency Checker, a free, deterministic web tool: answer five plain-language questions and it returns exactly which Article 50 transparency obligations apply to a product like yours — disclosing AI interaction, marking AI-generated content, labeling deepfakes, and notifying people of emotion recognition or biometric categorization — each tied to the governing paragraph of Regulation (EU) 2024/1689 and the August 2, 2026 enforcement date.
Every answer maps to a specific provision, so article numbers and dates are looked up, not generated by an AI model, and cannot be fabricated. Results display instantly on the page. No account, no login, nothing stored. A starting-point diagnostic, not legal advice.
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