Prove’s Mary Ann Miller Featured in TechRepublic Panel About Addressing Cyberattacks With AI
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Legacy security measures, while essential, have limitations due to their reactive nature and reliance on predefined signatures. They struggle to adapt to the evolving threat landscape and the massive amounts of data generated by modern IT systems.
Artificial intelligence (AI) offers a solution to these challenges. It can proactively identify threats, learn from patterns, and scale to handle large volumes of data. A new TechRepublic feature explores how AI is transforming cybersecurity, with insights from industry experts Mary Ann Miller (Fraud & Cybercrime Executive Advisor and VP of Client Experience), and Amit Patel, senior vice president at Consulting Solutions.
This report provides valuable guidance for businesses seeking to enhance their security posture. It highlights analysis from Bain that reveals a significant trend: the early adoption of generative AI is concentrated in threat identification, the initial stage of incident response. While AI excels at identifying threats, its potential extends beyond this stage.
According to Miller and Patel, the true power of AI in cybersecurity lies in proactive threat hunting. AI tools can autonomously generate threat detection queries, sift through vast amounts of data, and pinpoint potential threats without manual intervention. This capability eliminates the need for time-consuming manual SQL queries.
In the TechRepublic piece, Miller and Patel explain how AI acts as a hypothesis augmentation platform, refining analysts' intuition into structured threat predictions. For instance, if an analyst suspects lateral movement, AI can analyze incident and network traffic logs, filtering for specific protocols and connections, without requiring manual query writing. This streamlines threat investigation and enhances security teams' effectiveness.
Read the TechRepublic article to learn more.
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