AI vs. AI in Cybersecurity: Defending Against Intelligent Threats
Free the CISO, a podcast series that attempts to free CISOs from their shackles so they can focus on securing their organization, is produced by CIO.com in partnership with DataBee®, from Comcast Technology Solutions.
In each episode, Robin Das, Executive Director at Comcast under the DataBee team, explores the CISO’s role through the position’s relationship with other security stakeholders, from regulators and the Board of Directors to internal personnel and outside vendors.
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:
- Real-world use cases, including deployment of BluVector for compliance monitoring and OT network visibility
- Emerging adversarial trends targeting OT and legacy systems
- The critical limitations of signature-based malware defenses-and how AI can overcome them
Watch the video now to learn how AI is transforming the future of cybersecurity defense.
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:
- Real-world use cases, including deployment of BluVector for compliance monitoring and OT network visibility
- Emerging adversarial trends targeting OT and legacy systems
- The critical limitations of signature-based malware defenses-and how AI can overcome them
Watch the video now to learn how AI is transforming the future of cybersecurity defense.
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Developed for and deployed at government agencies and enterprise BluVector protects critical networks and delivers visibility with Al-powered Network Detection networks, BluVector helps cybersecurity teams centrally manage the detection of and rapid response of ransomware and zero-day exploits.
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Watch the demo to see how DataBee® BluVector® uses AI-powered threat detection to deliver fast, precise network defense. Explore machine learning-based malware detection, full traffic visibility, and seamless integration with your security stack.
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