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Artificial intelligence is everywhere now. From automated code completion to autonomous infrastructure management, AI tools and AI agents help DevOps speed up deployment cycles and change how development teams operate in general. At the same time, this rapid adoption of AI has created a reality that is hard for security teams to ignore: as with the growth of AI capability within the software development life cycle, the attack surface also grows. In 2025, there were 68 AI-related incidents recorded across major DevOps platforms according to the 2026 DevOps Threats Unwrapped Report . In the first half of 2026, the number of AI-related incidents visibly grew — research from GitProtect Lab tracked 84 AI-related incidents in six months alone. Thus, comparing the first half of 2026 to the same period in 2025 shows that AI-related incidents in development environments have nearly tripled. What do DevOps and DevSecOps say about AI incidents in general? According to GitProtect Lab 's surve...

A security leader at a global finance company told us recently that his team discovered three times more AI tools running in their environment than IT had approved. Nobody had smuggled them in. Employees had simply pointed agents at their work, and the agents brought their own tools with them. That conversation is not unusual. It is the conversation. Over the past year, in customer discussions across finance, healthcare, manufacturing, and government, the same four struggles come up so consistently that we have started treating them as the shape of the problem itself. Every company effectively hired a second workforce this year, human workers and agentic workers side by side, and the agentic workers never went through onboarding. No handbook, no scoped credentials, no acceptable-use policy they can actually read. Here is what teams are struggling with, what our research says about why, and what closing each gap actually requires. Struggle one: "I can't tell you what age...

Somewhere right now, malware running on a compromised machine is checking in with an AI model, asking it for a new version of itself. Google's Threat Intelligence Group caught this happening in late 2025. The malware, nicknamed PROMPTFLUX, does this every hour it runs, and each version comes back looking different from the last. By the time a security tool learns to recognize it, it has already changed shape again. This isn't a rare glitch or a lab experiment. It's a preview of how a growing share of attacks work today and why legacy SIEM platforms built to detect known patterns are starting to fall behind. Legacy security tools were built to detect, not to adapt A SIEM is a system that collects logs from every part of a company's network and looks for signs of an attack. For years, it worked like a security guard with a very long memory. The guard learns what a break-in looks like - a certain kind of file, a pattern of behavior, a code signature, and watches fo...

As anticipation builds for the FIFA World Cup 2026, cybercriminals are rapidly scaling fraud operations designed to exploit global fan excitement, urgency, and trust in tournament-related content. CTM360 researchers identified more than 7,000 FIFA World Cup 2026-themed domains, including over 4,500 newly registered domains observed within the last five months alone . More than 1,000 malicious or fraudulent websites have already been activated, alongside over 1,000 social media impersonation accounts operating across major platforms. The activity highlights how threat actors increasingly treat major global sporting events as large-scale monetization opportunities, combining fake ticket sales, fraudulent streaming platforms, betting scams, malware delivery, and social engineering into coordinated fraud ecosystems. Unlike isolated phishing attempts, these campaigns operate through repeatable fraud lifecycles that mirror organized cybercrime operations. CTM360's Fraud Navigator ...

For years, cybersecurity has operated on a simple premise: detect malware, stop the attack. That model is starting to break down. Attackers are no longer relying primarily on malicious files or obvious payloads. Instead, they're increasingly turning to what already exists inside your environment — trusted tools, native binaries, and legitimate administrative utilities. These are used to move laterally, escalate privileges, and maintain persistence, often without triggering traditional security alerts. The problem? Most organizations don't recognize this exposure until after the damage is already done. To better understand how this risk manifests in real environments, Bitdefender offers a complimentary free Internal Attack Surface Assessment — a practical, low-friction way to uncover where trusted tools may be working against you. Here's what's really happening inside modern environments — and why attackers prefer to use your own tools against you. 1. Attacks Are Designed Not to ...

While working on the Transparent Tribe's vibeware research, we have encountered two distinct camps, the optimists and the skeptics. What makes the current dialogue unique is that both sides can be right at the same time. There is, however, a clear operational reason why we encounter "AI attacks" primarily on professional social media feeds rather than within our own telemetry logs. In this article, we analyze the factors explaining why Skynet is not here yet, and how, much like a shark, AI does not need to be innovative to be dangerous. LLM Architecture Bias LLMs are mathematically optimized to predict the most likely outcome, while hacking is the art of identifying the statistical anomaly. LLMs are designed to predict the most statistically probable next token. They are excellent at the average, but poor at the exceptional. A hacker, by contrast, is a practitioner of statistical anomaly, actively seeking the low-pro...

Telegram entered 2025 under unprecedented pressure. Public scrutiny, regulatory attention, and leadership turmoil forced the platform to do something it had long resisted, enforce at scale. Moderation volumes surged, automation expanded, and millions of channels and groups were removed in a single year. On paper, this looks like a turning point.  In practice, it wasn't the collapse of cyber criminal activity on Telegram; it was an evolution, for sure, but not a collapse.  What we are seeing in 2026 is not a mass exodus from the platform, nor a meaningful decline in threat actor coordination. Instead, Telegram's crackdown has triggered a familiar pattern. Criminal ecosystems adapt faster than platforms can reform. Read the just released Telegram report, by Tal Samra and Or Shichrur for evasion methods, statistics and monitoring recommendations: https://checkpoint.cyberint.com/telegrams-crackdown-criminal-resilience Over 43 Million & Channels Blocked  Tele...

Browser extensions have evolved over the years into powerful productivity platforms to streamline workflows, integrate business tools, and optimize how work is done. Now in the age of AI, extensions are once again evolving to enable advanced automation and data-driven decision-making directly in the browser. And as these extensions continue to mature, so will the cyberattacks. Today's extension-based attacks do not discriminate; they target every traditional browser, including Chrome, Edge, Firefox, and more, as well as the new AI-powered browsers like ChatGPT's Atlas and Perplexity's Comet. They adapt to each environment's security nuances. Most enterprises assume that if they secure one browser, it's enough.  The reality is that cross-platform extension threats are becoming increasingly common, and organizations must take broader vigilance. In this article, you'll learn why leveraging a Secure Enterprise Browsing (SEB) platform is critical for organizations to keep up with tod...

Artificial Intelligence (AI) has served as a great resource for cyber defenders by enabling real-time detection and response through advanced pattern recognition and predictive analysis that traditional methods weren't able to achieve. However, AI has recently become a dangerous and widely available enabler for attackers to leverage. CISOs now face adversaries who easily scale large-scale cyberattacks like spear-phishing and polymorphic malware at machine speed.  This article examines the rising AI-driven cyberthreat landscape and presents the browser, the enterprises' new endpoint, as the most strategic control plane for defense. By adopting a Secure Enterprise Browser (SEB) into the security stack, enterprises can reduce their attack surface, contain incidents at scale, and future-proof themselves against these advanced attacks.  Why Traditional Defenses Struggle Against AI  Most organizations have robust defense in place against cyberattacks, such as firewalls, EDR...