The Cloudcast Deep Learning Meets CyberSecurity
Apr 16, 2025
Evan Powell, Founding CEO at DeepTempo and a leader in technology projects, discusses the crucial intersection of deep learning and cybersecurity. He reveals how AI can enhance threat detection amidst evolving cyber risks and the necessity for adaptable models. Powell explores the role of foundational models in pinpointing vulnerabilities and the value of integrating generative AI. He also highlights the importance of collaboration between AI and human analysts to tackle challenges in threat detection and regulatory compliance.
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Evan Powell's Career Journey
- Evan Powell reflects on his journey from Linux Foundation projects to cybersecurity using deep learning.
- His return was inspired by advances in AI and the impact he wanted to make in security challenges.
Cybersecurity Market Inefficiency
- The cybersecurity industry spends heavily, but still loses trillions to attacks, signalling inefficiency.
- Marketing targets CISOs with traditional tactics, but focusing on practitioners could accelerate innovation cycles.
Defense in Depth Needs AI Adaptability
- Defense in depth requires adaptable AI to detect evolving cyberattacks, not just perimeter defenses.
- Deep learning models like log LMs provide accurate anomaly detection without needing labels, enhancing investigation prioritization.