
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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Certainty is an enterprise-level auditing and inspection software that can be trusted to help you manage and report on business risk, compliance, and performance metrics quickly and efficiently.
Certainty Software is used by hundreds of thousands of professionals to complete millions of inspections and audits each year. It provides all the tools you need to collect, collate, and report consistent, accurate, and meaningful metrics across your business.
Certainty provides all the tools you need to design, manage, and report on audit/inspection data, as well as help you manage and mitigate any risks, incidents, and issues that may be identified during the audit/inspection process.
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Optima
An advanced digital oilfield analytics platform powered by IoT is revolutionizing operations and resource management. Optima utilizes machine learning analytics to redefine how companies in the oil and gas sector oversee their activities and assets. Prioritizing transparency, real-time reporting, and scalability, the platform harnesses enriched data to enhance productivity and drive substantial cost reductions. This versatile solution can be implemented either in the cloud or on-premise, ensuring smooth integration with existing processes. By incorporating IoT, blockchain, and AI features within a user-friendly microservices architecture, it offers a tailored and readily accessible approach to data-driven decision-making throughout the energy sector. Our data analytics rule engine facilitates the connection of workflows, teams, and high-frequency data for deeper insights, while also providing straightforward import/export capabilities and a comprehensive document archive for easy access. This innovative platform not only empowers organizations to make informed choices but also encourages collaboration across different departments within the industry.
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