检查点如何与"黎明"一起加速脆弱性研究
随着OpenAI Daybreak,Check Point加快了新安全保护背后的研究，使其分析师能够更快地将脆弱性情报转化为客户防御。
结果
小时至分钟
与 " 黎明 " 一起进行脆弱性研究
Check Point的弱点研究工作流程过去需要几个小时才能完成。 作为OpenAI"日出"防御网络的一部分，公司使用"日出"将工作缩短为分数，据"检查点"的乔纳森·赞格(Jonathan Zanger)所言。 日出让维权者使用OpenAI的前沿网络模型
检查点通过它的AI、工作空间、云和网络安全产品帮助保护了10万多个组织。 检查点研究带来脆弱性研究专门知识与公司的预防第一方法，调查新出现的脆弱性，并将发现转化为客户的保护。 黎明加速了这一研究，缩短了从理解脆弱性到发展防御的路径。
“OpenAI正在将边境网络安全情报交给维权者手中，使诸如Check Point这样的公司能够将这种情报变成预防威胁。”
Zanger 称指出，对于Check Point，保持速度意味着迅速将关于新披露的弱点的信息转化为客户的保护。 “当出现新的脆弱性时，我们的工作是确保尽快保护我们的客户免受其害。”
这项工作取决于专家分析员，他们调查脆弱性，并将调查结果转化为安全签名或妥协指标，由检查点系统用来识别威胁。 这项研究需要专门知识，小组的能力以前受到可供分析者人数的限制。
Check Point使用OpenAI Daybreak来自动化更多此工作流程。 Zanger 称指出，其价值来自模型对安全问题进行推理的能力。
“OpenAI Daybreak可以理解弱点，分析不同的攻击模式并扫描代码以查明差距。”
赞格也指出了在理解复杂的代码和配置，以及识别系统如何被攻击等方面的进展。 检查点现在认为这些能力已经足够成熟，可以纳入网络安全工作流程。 就脆弱性研究而言，" 黎明 " 组织支持调查工作，为开发一个签名或妥协指标提供信息，使分析人员能够更快地从了解威胁到发展保护。
Check Point也正与OpenAI合作，利用"日出"开发其代理网络安全管弦乐解决方案。 Zanger的方法将不断监测客户环境与明确界定的业务界限和人类认可相应行动结合起来。 客户将确定其安全目标，该系统将解释其调查结果、建议的行动和相关风险，以便他们决定如何开展工作。
由于脆弱性研究现在需要几分钟时间才能完成，检查点的下一个优先事项是补救。 该公司希望利用"黎明"的能力，让安全小组更容易解决他们发现的漏洞。
“将OpenAI的"黎明"与我们现有的安全工作流程结合起来，可以释放出一定的自动化能力，可以实时防止威胁。”
对于"检查点"(Check Point 客户)，更快速的研究支持了针对新发现的弱点的防护措施的发展。 日出后，检查点的目标是将这一进展扩大到更自主的防御，客户设定安全目标并批准相应的行动。
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How Check Point accelerates vulnerability research with Daybreak
With OpenAI Daybreak, Check Point speeds up the research behind new security protections, enabling its analysts to turn vulnerability intelligence into customer defenses faster.
Results
Hours to minutes
Vulnerability research with Daybreak
Check Point’s vulnerability research workflow used to take hours to complete. As part of the OpenAI Daybreak Defense Network, the company uses Daybreak to reduce that work to minutes, according to Jonathan Zanger, CTO of Check Point. Daybreak gives defenders access to OpenAI’s frontier cyber models that can analyze vulnerabilities, reason through attack paths, and identify security gaps in code and configurations.
Check Point helps secure over 100,000 organizations through its AI, workspace, cloud, and network security products. Check Point Research brings vulnerability research expertise to the company’s prevention-first approach, investigating emerging vulnerabilities and translating findings into protections for customers. Daybreak accelerates that research, shortening the path from understanding a vulnerability to developing a defense.
“OpenAI is putting frontier cybersecurity intelligence in the hands of defenders and enabling companies like Check Point to turn this intelligence into threat prevention.”
“We’re seeing more cyber threats, and those threats are becoming increasingly sophisticated,” Zanger says. For Check Point, keeping pace means quickly turning information about newly disclosed vulnerabilities into protections for customers. “When a new vulnerability emerges, our job is to make sure our customers are protected against it as fast as possible.”
That work depends on expert analysts who investigate vulnerabilities and translate their findings into security signatures or indicators of compromise that Check Point’s systems use to recognize threats. This research requires specialized expertise, and the team’s capacity was previously constrained by the number of analysts available to do it.
Check Point uses OpenAI Daybreak to automate more of this workflow. “We leverage Daybreak to speed up and automate this process, and we can now do it in minutes instead of hours,” Zanger says. The value comes from the models’ ability to reason about security problems.
“OpenAI Daybreak can understand vulnerabilities, analyze different attack patterns and scan the code to identify gaps.”
Zanger also points to advances in understanding complex code and configurations, and identifying how systems could be exposed to attack. Check Point now considers those capabilities mature enough to incorporate into its cybersecurity workflows. For vulnerability research, Daybreak supports the investigative work that informs the development of a signature or indicator of compromise, giving analysts a faster path from understanding a threat to developing protections.
Check Point is also working with OpenAI to develop its Agentic Network Security Orchestration solution using Daybreak. The approach Zanger describes would combine continuous monitoring of customer environments with clearly defined operating boundaries and human approval for consequential actions. Customers would set their security objectives, and the system would explain its findings, recommended actions, and associated risks so they could decide how to proceed.
With vulnerability research now taking minutes to complete, Check Point’s next priority is remediation. The company is looking to use Daybreak’s capabilities to make it easier for their security teams to address the gaps they identify.
“Combining OpenAI’s Daybreak with our existing security workflows unlocks a level of automation that can prevent threats in real time.”
For Check Point customers, faster research supports the development of protections against newly discovered vulnerabilities. With Daybreak, Check Point aims to extend that progress toward more autonomous defenses, with customers setting security objectives and approving consequential actions.
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