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Description

In the vast landscape of cloud vulnerabilities, only a limited number lead to actual attacks in the real world, making it essential to pinpoint this critical subset for effective cloud security. Even the most committed security teams can encounter challenges in managing these vulnerabilities. It's important to note that the existence of a vulnerability, whether in an exposed asset or listed in the KEV database, doesn’t necessarily signify its critical nature. By smoothly integrating your cloud environment, you can quickly obtain an in-depth overview of your security posture. With our comprehensive attack chain analysis, you will immediately identify areas requiring your focus. Averlon conducts an extensive graph analysis of your cloud, examining assets, network connections, access controls, and potential issues, allowing you to concentrate on the elements that pose the greatest risk. Furthermore, Averlon is instrumental in continuously monitoring your cloud infrastructure to detect potential real-world threats. By streamlining alerts into actionable root cause analysis and providing targeted remediation suggestions, Averlon significantly reduces the time required to address vulnerabilities, ensuring a more secure cloud environment. Ultimately, this proactive approach not only enhances security but also empowers teams to respond swiftly and effectively to emerging threats.

Description

RiskProfiler can help you identify shadow risks and increase your brand's reputation and cyber risk rating by using the power of AI. RiskProfiler tracks your digital presence on the dark, surface and deep webs. You can eliminate shadow risks before hackers do. The collected reconnaissance information is used for the discovery and fingerprinting of an organization's digital footprint. Assets are then grouped based on fingerprint information. Risk Profiler's proprietary attack simulator runs passive scans and identifies security problems per asset without any complicated deployments, configurations or disruption of business operations. AI Models are used for filtering out false positives and providing actionable insights based upon threats across the surface, dark, and deep web.