Artificial Intelligence | News, how-tos, features, reviews, and videos
Large language models (LLMs) are proving to be valuable tools for discovering zero-days, bypassing detection, and writing exploit code — thereby lowering the barrier to entry for pen-testers and attackers alike.
CrowdStrike, Change Healthcare, rising ransomware threats and cyber regulations — here’s what dominated the headlines this year and how CISOs and cyber pros are adapting.
As companies scramble for tougher shields against genAI risks, homomorphic encryption steps into the spotlight, bringing a unique superpower: it can crunch encrypted data without ever cracking it open.
Harness the power of genAI to enhance threat detection and response capabilities, automate incident management, and stay ahead of emerging threats.
Generative AI is showing growing utility for augmenting security ops, but studies suggest caution is still warranted, as cyber pros raise concerns about rapid adoption.
Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.
Microsoft is allocating $4 million to a new bug bounty program, Zero Day Quest, among other measures to enhance software security announced at its annual Ignite event.
This guide provides IT leaders with a comprehensive approach to applying zero-trust principles in AI and LLM architectures, emphasizing the integration of ethical considerations from the ground up.
AI and machine learning are improving cybersecurity, helping human analysts triage threats and close vulnerabilities quicker. But they are also helping threat actors launch bigger, more complex attacks.
This issue showcases practical AI deployments, implementation strategies, and real-world considerations such as for data management and AI governance that IT and business leaders alike should know before plunging into AI.