As cybercriminals increasingly weaponize artificial intelligence to generate malware, traditional defenses are struggling to keep up and require AI powered Network Detection and Response solutions. This short video delves into why traditional, signature-based defenses are falling behind, how AI-powered detection solutions like DataBee BluVector can help you stop threats earlier and real-world use cases focusing on OT visibility and compliance.
AI vs AI in Cybersecurity: Defending Against Intelligent Threats
As cybercriminals increasingly weaponize artificial intelligence to generate sophisticated malware at unprecedented speed and scale, traditional signature-based cybersecurity defenses are struggling to keep up. This evolving threat landscape demands a new approach—one where AI fights AI.
"The biggest gap with traditional malware detections is signature-based," explains Robin Das, Executive Director and Market Growth Strategist at DataBee, a Comcast company. "The malware is now coming at such speed and velocity that list-based methods just don't work."
To counter these AI-driven threats, Das recommends leveraging AI-powered cybersecurity tools like DataBee BluVector—a patented machine learning-based network detection and response solution. DataBee BluVector enhances traditional defenses with real-time AI analysis, enabling organizations to detect and stop previously unknown malware much earlier in the attack chain.
In this exclusive video interview with Information Security Media Group at the Gartner Security & Risk Management Summit, Das explores:
Watch the video now to learn how AI is transforming the future of cybersecurity defense.
Offered Free by: DataBee, a Comcast Company
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