Immediately, we’re saying Sec-Gemini v1, a brand new experimental AI mannequin targeted on advancing cybersecurity AI frontiers.
As outlined a 12 months in the past, defenders face the daunting activity of securing in opposition to 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 stability again to the defenders by power multiplying cybersecurity professionals like by no means earlier than.
Successfully powering SecOps workflows requires state-of-the-art reasoning capabilities and in depth present cybersecurity information. Sec-Gemini v1 achieves this by combining Gemini’s superior capabilities with close to real-time cybersecurity information and tooling. This mix permits it to attain superior efficiency on key cybersecurity workflows, together with incident root trigger evaluation, risk evaluation, and vulnerability affect understanding.
We firmly imagine that efficiently pushing AI cybersecurity frontiers to decisively tilt the stability in favor of the defenders requires a robust collaboration throughout the cybersecurity neighborhood. That is why we’re making Sec-Gemini v1 freely accessible 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 Menace Intelligence (GTI), OSV, and different key information sources. Sec-Gemini v1 outperforms different fashions on CTI-MCQ, a number one risk intelligence benchmark, by at the very least 11% (See Determine 1). It additionally outperforms different fashions by at the very 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 Menace Intelligence benchmark.
Determine 2: Sec-Gemini v1 has outperformed different fashions in a Cybersecurity Menace Intelligence-Root Trigger Mapping (CTI-RCM) benchmark that evaluates an LLM’s skill to know the nuances of vulnerability descriptions, establish vulnerabilities underlying root causes, and precisely classify them in accordance with the CWE taxonomy.
Under 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 Hurricane is a risk actor (not all fashions do) and offers a complete description of that risk actor, because of its deep integration with Mandiant Menace intelligence information.
Subsequent, in response to a query in regards to the vulnerabilities within the Salt Hurricane description, Sec-Gemini v1 outputs not solely vulnerability particulars (because of its integration with OSV information, the open-source vulnerabilities database operated by Google), but additionally contextualizes the vulnerabilities with respect to risk actors (utilizing Mandiant information). With Sec-Gemini v1, analysts can perceive the chance and risk profile related to particular vulnerabilities quicker.
In case you are thinking about collaborating with us on advancing the AI cybersecurity frontier, please request early entry to Sec-Gemini v1 through this type.
