Enterprise Security Tech

As the cybersecurity industry closes the books on 2025, the year is already solidifying around a familiar but unsettling conclusion: attackers didn’t need radically new malware to cause outsized damage. They needed people, timing, and a growing catalog of quietly catastrophic infrastructure flaws. That’s the throughline emerging from a year-end review by incident response specialists at LevelBlue , which absorbed digital forensics heavyweight Stroz Friedberg earlier this year

A new malware campaign dissected by the Securonix  Threat Research team underscores an uncomfortable truth for defenders: some of the most effective modern intrusions still rely on decades-old Windows scripting, dressed up with just enough obfuscation and in-memory trickery to stay ahead of automated detection. Tracked as SHADOW#REACTOR , the operation delivers a familiar end goal—a fully functional Remcos remote access trojan—but the path it takes to get there is anything bu

For a brief moment last week, the internet appeared to relive a familiar panic: headlines warning that cybercriminals had walked away with data from millions of Instagram users. Security vendor Malwarebytes  said attackers had stolen sensitive information tied to roughly 17.5 million accounts. Instagram pushed back just as forcefully, insisting there was no breach of its systems at all. Both claims can technically coexist — and that uneasy overlap says more about the modern d

For years, defenders have warned that artificial intelligence would expand the attack surface. What they lacked was proof that adversaries were already doing the math. That proof is now emerging from telemetry captured deep inside live AI infrastructure. Between October 2025 and January 2026, researchers operating an Ollama-based honeypot observed more than 91,000 attack sessions , revealing two distinct campaigns that illuminate how threat actors are methodically charting th

For years, cloud security teams have been promised that artificial intelligence would simplify their lives. In practice, much of that AI has arrived sealed inside opaque interfaces—systems that spit out answers without showing their work. As cloud environments sprawl and risk signals multiply, that lack of transparency has become a liability rather than a feature. This week, Upwind  is betting that the next phase of AI-driven cloud security won’t be about smarter black boxes,

A flaw buried deep inside enterprise security tooling is once again forcing defenders to confront an uncomfortable truth: the systems designed to protect the network can also become its most dangerous point of failure. This week, Trend Micro  issued emergency updates for its on-premises Apex Central management console after researchers disclosed three serious vulnerabilities — including a critical zero-day that allows unauthenticated attackers to execute code remotely with fu