Compare Azilon Risk Manager vs. Hyperproof

Operational Risk Management, as outlined in the Basel Banking Accord, refers to the potential for direct or indirect losses stemming from inadequate or failed internal processes, personnel, systems, or external events. Regardless of the nature of your enterprise, operational risk threats emerge even before any products are offered to the market. By gaining insight into these risks, including their likelihood and potential impact, businesses can focus on implementing effective controls for the most critical threats. Furthermore, comprehending the root causes of issues can aid employees in enhancing their operational practices, minimizing costly mistakes, and ensuring a high standard of service delivery to clients. The tracking of Loss Data, commonly known as internal data, involves meticulously recording incidents of loss and correlating those data points to specific business units, processes, and control failures that either caused or contributed to the issues. This systematic approach not only helps in mitigating risks but also fosters a culture of continuous improvement within the organization.

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.