Esme brings a wealth of knowledge and experience to our website, specializing in all aspects of DarkWeb security. With a deep understanding of the intricate workings of the DarkWeb and its associated cybersecurity risks, Esme curates insightful and informative content for our readers.
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Google is among companies seeking to take advantage of an upcoming trend in the Artificial Intelligence area: generative AI for cybersecurity.
Today, April 24th, Google revealed Cloud Security AI Workbench at the RSA Conference 2023. This cybersecurity tool is driven by the Sec-PaLM language model, a specially designed “security” AI language model. Sec-PaLM, a branch of Google’s PaLM model, incorporates security intelligence including studies on software security breaches, malicious software, danger indicators, and behavioral criminal profiles.
Google’s Cloud Security AI Workbench has implemented several new AI-based products, including Mandiant’s Threat Intelligence AI, which uses Sec-PaLM to detect, summarize, and respond to security threats. Google’s acquisition of Mandiant for $5.4 billion in 2022 has enabled the integration of Sec-PaLM with VirusTotal, another Google business, to provide subscribers with explanations of the behavior of malicious scripts.
The addition of Sec-PaLM to Google’s Chronicle enables users to search for security-related incidents and review the outcomes in a cautious manner. The Security Command Center AI users will also benefit from Sec-PaLM, which provides plain-language explanations of the type of attack, the assets that are affected, and recommended mitigation measures. These descriptions can also provide users with risk summaries for compliance, privacy, and security outcomes.
Microsoft’s Security Copilot, released in March, leverages generative AI models from OpenAI, including GPT-4, to “summarize” and “make sense” of threat intelligence. Like Google, Microsoft asserts that generative AI will help security professionals prepare for emerging threats. The program aids in the efficient analysis and interpretation of threat data, allowing security experts to respond quickly and effectively to security breaches.
Since there aren’t many studies on generative AI’s usefulness in cybersecurity, it’s possible that it will end up being more buzz than anything else. Hopefully the results won’t take long to come in, but until then, don’t be too quick to believe what Google and Microsoft are saying.