
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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RealCISO is a compliance intelligence platform for two audiences: MSPs and MSSPs managing security across multiple clients, and enterprise teams running compliance in-house.
MSPs, MSSPs, and security consultants use it to run compliance assessments, manage cyber risk, track remediation, and report to boards — all in one place. Assessments map directly to NIST CSF, SOC 2, NIST 800-171, HIPAA, CIS Controls, CMMC, and 30+ other frameworks.
Instead of months of spreadsheet work, clients get a clear picture of where they stand and what to fix — in days. Over 3,000 security providers rely on RealCISO to deliver vCISO services at scale.
Built by practitioners. Founded by Brian Haugli — former DoD, former VP & CSO at The Hanover Insurance Group, CISSP, and co-author of the NIST CSF book published by Wiley.
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Defense Llama
Scale AI is excited to introduce Defense Llama, a specialized Large Language Model (LLM) developed from Meta’s Llama 3, tailored specifically to enhance American national security initiatives. Designed for exclusive use within controlled U.S. government settings through Scale Donovan, Defense Llama equips our military personnel and national security experts with the generative AI tools needed for various applications, including the planning of military operations and the analysis of adversary weaknesses.
With its training grounded in a comprehensive array of materials, including military doctrines and international humanitarian laws, Defense Llama adheres to the Department of Defense (DoD) guidelines on armed conflict and aligns with the DoD’s Ethical Principles for Artificial Intelligence. This structured foundation allows the model to deliver precise, relevant, and insightful responses tailored to the needs of its users. By providing a secure and efficient generative AI platform, Scale is committed to enhancing the capabilities of U.S. defense personnel in their critical missions. The integration of such technology marks a significant advancement in how national security objectives can be achieved.
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Etactics CMMC Compliance Suite
Investing time and resources to prepare for the Cybersecurity Maturity Model Certification (CMMC) assessment is a significant undertaking for organizations. Those managing Controlled Unclassified Information (CUI) in the defense industrial sector should anticipate a certification from an authorized CMMC 3rd Party Assessment Organization (C3PAO) to validate their adherence to NIST SP 800-171 security standards. Assessors will scrutinize how contractors fulfill each of the 320 objectives related to all relevant assets, which encompass personnel, facilities, and technologies. The evaluation process is likely to include artifact reviews, interviews with essential staff, and examinations of technical, administrative, and physical controls. As they compile their evidence, organizations must create clear connections between the artifacts, the security requirement objectives, and the assets under consideration. This comprehensive approach will not only aid in meeting certification criteria but also enhance overall security posture.
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