Giant tech company Google has recently launched Artificial Intelligence (AI) tools to enhance the cybersecurity landscape across various industries.
While at the RSA conference in San Francisco, the tech giant launched a new AI model that focuses on addressing three critical industry challenges, which are threat overload, complex tools, and the talent gap.
Utilizing the power of Large Language Models (LLMs), Google’s Chronicle security operations will benefit from cutting-edge AI capabilities to streamline threat detection, investigation, and initial response processes. These advancements also help to simplify intricate data analysis and security engineering tasks.
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Chronicle is a cybersecurity company that is part of the Google Cloud Platform. The company is a cloud service, built as a specialized layer on top of core Google infrastructure, designed for enterprises to privately retain, analyze, and search the massive amounts of security and network telemetry they generate. Chronicle aims to help businesses find and stop cyber attacks.
The Chronicle AI operates by using natural language, which enables users to enter their security-related queries. The tool will do the work for them, generating the query, presenting initial information, and allowing them to modify and iterate on results in different things.
Chris Corde, Director of Product Management, Security Google, and Spencer Lichtenstein of Chronicle, respectively stated that recent breakthroughs in generative AI, specifically in LLMs, have unlocked “new avenues of practical application for security teams of all sizes and skill levels”.
They emphasized the need for a thoughtful application of AI to boost the capacity of security analysts while noting that AI should be employed in areas necessitating a high degree of specialization or significant manual effort.
Google’s latest developments demonstrate its commitment to providing robust cybersecurity solutions and leveraging AI to maximize efficiency and security in the digital age. Driven by increasing awareness of data risks and threats, the global cybersecurity market has been predicted to witness massive growth over the next few years. Statistics reveal that Global cybersecurity market revenue is forecast to jump to $262.3 billion by 2027, a rise of more than 67 percent from $156.35 billion this year.
As cyberattacks grow in volume and complexity, artificial intelligence (AI) is helping under-resourced security operations analysts stay ahead of threats. Curating threat intelligence from millions of research papers, blogs, and news stories, AI technologies like machine learning and natural language processing provide rapid insights to cut through the noise of daily alerts, drastically reducing response times.
AI has also been proven to find threats faster. With a sharp increase in the levels of cybercrime, it is imperative for companies to utilize every tool available to safeguard against these attacks.