Compare Hyperproof vs. Isora GRC

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.

Isora GRC streamlines your IT Risk Assessments. Use Isora GRC to perform IT Risk Assessments. It is a lightweight and powerful surveying tool. Create self-assessment questions for departments, people and facilities. Use our preloaded questionnaires such as NIST, HIPAA and GLBA to help you. Build or upload your custom questionnaires. To simplify your questionnaires, you can change question weights, allow partial credits, gate conditional questions, or add question logic. Automatically score and rollup collected qualitative and quantitative survey data. Access dynamic risk reports. The risk map can be used to identify high-risk units. The trend graph can be used to track risk scores over time. The RESTful API allows you to easily export the raw data into data analytics tools such as Microsoft PowerBI.