Endpoint Security, Events, Governance & Risk Management
Palo Alto Networks CTO Mei Wang talks about the need for precision AI to detect threats
Rahul Neel Mani (@rneelmani) •
May 16, 2024
Artificial intelligence and the Internet of Things have complementary capabilities that can enhance IoT security when used together. Because IoT devices are widely used today, the risk is high if these devices are compromised. Although IoT devices are different from his IT devices, AI can address his IoT security challenges, said Maywan, his CTO of IoT security at Palo Alto Networks.
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According to Wang, AI technology may not be directly applicable to securing IT systems. “Her AI methods, such as NLP and image processing, may not work directly for cybersecurity. Cybersecurity has special challenges and requirements, and the biggest challenge is accuracy,” she said .
Wang said Palo Alto Networks' 85,000 customers generate 7.5 petabytes of data every day. “Even an inaccuracy of 0.001 can cause disaster. That's why we're pushing high-precision AI specifically for cybersecurity. Cybersecurity requires extreme precision to work. '' said Wang.
In a video interview with Information Security Media Group at RSA Conference 2024, Wang also said:
- Integrate AI and ML to improve threat detection.
- Challenges in securing IoT devices.
- Accurately detect threats using precision AI.
At Palo Alto Networks, Wang leads AI initiatives across multiple security domains. She co-founded Zingbox, which was acquired by Palo Alto Networks in 2019 for her industry-first AI-based IoT security solution.
