Compare EasyAudit vs. Hyperproof

EasyAudit.ai is an innovative auditing platform powered by AI, specifically crafted for businesses and organizations aiming to enhance their audit processes, maintain compliance, and swiftly identify risks with great efficiency. Utilizing sophisticated artificial intelligence and machine learning techniques, EasyAudit.ai automates many of the labor-intensive and time-consuming tasks traditionally associated with auditing, including the analysis of data, examination of documents, and identification of errors, thereby significantly lessening the burden on human auditors and boosting overall accuracy. The platform delivers real-time insights and risk evaluations, allowing organizations to detect and address potential problems before they escalate into larger issues. With an easy-to-navigate interface, users can effortlessly upload financial documentation, contracts, and other pertinent materials, which the AI meticulously examines for inconsistencies, adherence to regulations, and any warning signs. Furthermore, EasyAudit.ai features customizable audit workflows, making it versatile enough to cater to a wide range of industries, such as finance, healthcare, legal, and various corporate sectors, highlighting its broad applicability and effectiveness in diverse environments. By integrating this advanced technology, organizations can not only save time but also enhance the quality and reliability of their audits.

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.