Cyber Risk | Breaking Cybersecurity News | The Hacker News

The most important cybersecurity impact of artificial intelligence is not that attackers can write better phishing emails or automate parts of their workflow. It is that AI is changing the speed, scale, and decision-making dynamics of cyberattacks.  That creates a problem many organizations have not yet fully confronted: most cyber governance and incident response models were designed for human-speed attacks.  For years, security teams operated under a familiar sequence. Detect suspicious activity. Investigate. Validate the threat. Escalate to leadership. Decide on containment. Communicate with stakeholders. That model still has value, but it assumes defenders have enough time to build confidence before taking material action.  AI-enabled attacks challenge that assumption.  Adversaries can now use AI to accelerate reconnaissance, generate highly personalized social engineering, modify malware, test payloads, summarize stolen data, identify vulnerabilities, a...

Coined in 2010 by Forrester Research , the term "zero trust" has long been hijacked by security vendors eager to take advantage of the hype that surrounds the concept. Today, it's so overused and misused that many see it as a meaningless buzzword—but that's far from the truth. In fact, its widespread misappropriation demonstrates the power of zero trust security. Why else would countless vendors try to capitalize on it? As they say, imitation is the sincerest form of flattery. Zero trust is not a mere label. Rather, zero trust is an architecture—though you'll also hear of a zero trust methodology, framework, paradigm, and infrastructure—and it's based on the idea of zero implicit trust, meaning no one should be trusted by default. The key zero trust principle of least-privileged access says a user should be given access only to a specific IT resource the user is authorized to access, at the moment that user needs it, and nothing more. Hence the zero trust maxim,...