Best GDPR Compliance Software for CrowdStrike Falcon

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.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

Stop getting overwhelmed by countless vulnerability alerts from your security systems. Instead, bring together data from your cloud, on-premises, and custom applications, integrating it with information from your security tools, to consistently evaluate the effectiveness of controls and the operational health of your complete IT landscape. Align control assurance with business consequences to identify which vulnerabilities to address first. Leverage AI and automated APIs to enhance and streamline risk assessments for first-party, third-party, and nth-party scenarios. Automate the evaluation of documents to obtain contextual and trustworthy insights. Conduct regular, systematic risk assessments across all internal and external applications to eliminate the dangers of relying on isolated or infrequent evaluations. Transition your risk register from being a manual spreadsheet to a dynamic system of predictive risk assessments. Continuously track and project your risks in real-time, allowing for IT risk quantification that can illustrate financial implications to stakeholders, and shift your approach from merely managing risks to actively preventing them. This proactive strategy not only strengthens your security posture but also aligns risk management with broader business objectives.