PulseAugur
EN
LIVE 07:30:00

AI in Cybersecurity: Experts Debate Effectiveness and Challenges

The application of AI in cybersecurity is complex, with differing expert opinions on its effectiveness. Zulfikar Ramzan, former CTO of RSA, highlighted challenges such as insufficient training data, the risk of data poisoning by hackers, and the lack of explainability in deep learning models. In contrast, Guy Caspi, CEO of Deep Instinct, argued that these issues are manageable. Caspi suggested that companies can overcome data limitations through dedicated data labeling efforts and that the risk of data poisoning is minimal due to offline AI training. He also noted that while AI explainability is not perfect, statistical methods can provide sufficient understanding of model behavior. AI

IMPACT Highlights ongoing debates about AI's practical application and limitations in critical security sectors.

RANK_REASON The article discusses differing expert opinions on the application of AI in cybersecurity, rather than announcing a new product or research.

Read on Fortune →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI in Cybersecurity: Experts Debate Effectiveness and Challenges

COVERAGE [1]

  1. Fortune TIER_1 English(EN) · Jonathan Vanian ·

    Using A.I to repel hackers is complicated. But these tricks can help

    Deep learning can work for cybersecurity, but only if companies pay attention to the data.