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At present, we’re asserting Sec-Gemini v1, a brand new experimental AI mannequin centered on advancing cybersecurity AI frontiers. As outlined a yr in the past, defenders face the daunting activity of securing towards all cyber threats, whereas attackers have to efficiently discover and exploit solely a single vulnerability. This basic asymmetry has made securing techniques extraordinarily tough, time consuming and error inclined. AI-powered cybersecurity workflows have the potential to assist shift the steadiness again to the defenders by drive multiplying cybersecurity professionals like by no means earlier than. Successfully powering SecOps workflows requires state-of-the-art reasoning capabilities and intensive present cybersecurity information. Sec-Gemini v1 achieves this by combining Gemini’s superior capabilities with close to real-time cybersecurity information and tooling. This mixture permits it to attain superior efficiency on key cybersecurity workflows, together with incident root trigger evaluation, menace evaluation, and vulnerability impression understanding.We firmly imagine that efficiently pushing AI cybersecurity frontiers to decisively tilt the steadiness in favor of the defenders requires a powerful collaboration throughout the cybersecurity neighborhood. This is the reason we’re making Sec-Gemini v1 freely out there to pick organizations, establishments, professionals, and NGOs for analysis functions.Sec-Gemini v1 outperforms different fashions on key cybersecurity benchmarks because of its superior integration of Google Risk Intelligence (GTI), OSV, and different key knowledge sources. Sec-Gemini v1 outperforms different fashions on CTI-MCQ, a number one menace intelligence benchmark, by at the least 11% (See Determine 1). It additionally outperforms different fashions by at the least 10.5% on the CTI-Root Trigger Mapping benchmark (See Determine 2):Determine 1: Sec-Gemini v1 outperforms different fashions on the CTI-MCQ Cybersecurity Risk Intelligence benchmark.Determine 2: Sec-Gemini v1 has outperformed different fashions in a Cybersecurity Risk Intelligence-Root Trigger Mapping (CTI-RCM) benchmark that evaluates an LLM’s capability to grasp the nuances of vulnerability descriptions, determine vulnerabilities underlying root causes, and precisely classify them in accordance with the CWE taxonomy.Beneath is an instance of the comprehensiveness of Sec-Gemini v1’s solutions in response to key cybersecurity questions. First, Sec-Gemini v1 is ready to decide that Salt Storm is a menace actor (not all fashions do) and supplies a complete description of that menace actor, due to its deep integration with Mandiant Risk intelligence knowledge.Subsequent, in response to a query concerning the vulnerabilities within the Salt Storm description, Sec-Gemini v1 outputs not solely vulnerability particulars (due to its integration with OSV knowledge, the open-source vulnerabilities database operated by Google), but in addition contextualizes the vulnerabilities with respect to menace actors (utilizing Mandiant knowledge). With Sec-Gemini v1, analysts can perceive the danger and menace profile related to particular vulnerabilities quicker.If you’re curious about collaborating with us on advancing the AI cybersecurity frontier, please request early entry to Sec-Gemini v1 through this kind.
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