GitHub Copilot | Breaking Cybersecurity News | The Hacker News

Agentic AI is already running in production environments across many organizations today. It is executing tasks, consuming data, and taking actions — most likely without meaningful involvement from the security team. The industry conversation has largely framed this as a question of policy: allow it, restrict it, or monitor it? However, that framing misses the point.  The more urgent question is whether security professionals actually understand what they are dealing with. In most organizations, they don't right now. And that gap is compounding by the week. You cannot secure what you do not understand The foundational principle of information security has not changed: genuine fluency in a technology must come before you can meaningfully defend it. Think about firewalls. You cannot configure one well without understanding networking. When cloud computing arrived, organizations that skipped the foundational work ended up with environments they could not reason about — tools purc...

Cybersecurity researchers have disclosed details of a new supply chain attack vector dubbed Rules File Backdoor that affects artificial intelligence (AI)-powered code editors like GitHub Copilot and Cursor, causing them to inject malicious code. "This technique enables hackers to silently compromise AI-generated code by injecting hidden malicious instructions into seemingly innocent configuration files used by Cursor and GitHub Copilot," Pillar security's Co-Founder and CTO Ziv Karliner said in a technical report shared with The Hacker News. "By exploiting hidden unicode characters and sophisticated evasion techniques in the model facing instruction payload, threat actors can manipulate the AI to insert malicious code that bypasses typical code reviews." The attack vector is notable for the fact that it allows malicious code to silently propagate across projects, posing a supply chain risk. The crux of the attack hinges on the rules files that are used ...