AI for Cybersecurity: Promise, Practice, and Pitfalls
AI is transforming cybersecurity by enhancing threat detection and enabling real-time responses, but it also introduces new risks like system exploitation and bias. This article discusses the application of AI in cybersecurity, covering anomaly detection, behavioral analytics, and predictive threat modeling. Challenges such as adversarial AI, data bias, and ethical dilemmas in decision-making are addressed. The future of intelligent cyber defense and the importance of balancing innovation with security and accountability are also explored.
IEEE Spectrum•