Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most of the exposure research we publish goes one way. We count some category of internet-exposed devices, the number is bigger than you hoped, and it is climbing. Webcams. Industrial control systems. NTP servers old enough to vote. The story is almost always "there is more of this exposed than there should be, and it is getting worse.".

Financial institutions are not short on cybersecurity policies, frameworks, or regulatory requirements. Turning those requirements into a living risk management program can be challenging. Organizations need a program that can keep pace as technology environments expand, cloud adoption grows, third parties are added, and external exposures change. Especially as the threat landscape continues to evolve.

AI is quickly becoming one of the most useful tools available to security researchers. Its ability to analyze enormous volumes of data, identify vulnerabilities, reconstruct attacks, connect seemingly unrelated signals, and help defenders respond faster than humans could alone is incredibly beneficial.

In this post, we will uncover the “Fuyao Enterprise,” a previously unknown, sophisticated and highly modular botnet operating within Android TV boxes. This operation marks a shift in modern ad-fraud, where automated bots fake both clicks and views to defraud advertisers and ad-networks. While deploying novel tactics and techniques, Fuyao managed to escape public research for several years. Now, its operators openly advertise their network of over 120,000 “AI digital humans.".

AI is compressing the cybersecurity timeline faster than most institutions can adapt to it. Not only do security leaders have to deal with this new reality, they have to answer key questions to internal and external audiences about their efforts — including regulators.

Bitsight's annual Ratings Algorithm Update (RAU) has been in effect as of July 16, 2026. In preparation, RAU 2026 Preview was made available in April 2026. As in the past, RAU 2026 is an effort to account for the continuous evolution of the threat landscape the Bitsight security ratings seek to quantify. This year's update is focused on modernizing the rating by improving how it is composed from various risk vectors (RVs). In particular, this entails the following.

The security world has a new focus: VulnOps. In response to Mythos, Daybreak, and the other frontier models that are sure to follow, organizations are racing to build permanent vulnerability operations functions that combine vulnerability management with more robust automation. The need for this discipline was always there. But now that AI can discover and help weaponize vulnerabilities at machine speed, the old quarterly-scan-and-patch approach is becoming less viable.

TeamPCP is a financially motivated ransomware group tied to software supply chain compromise, credential theft, extortion, and abuse of developer infrastructure. The group is also tracked through aliases including ShellForce, PCPcat, TeamPCP, DeadCatx3, Altered Spider, and PersyPCP. The group has also claimed ownership of CipherForce, which it describes as its private locker.

I remember the days when merely saying “AI” was enough to earn glares for bringing up such a taboo subject, almost equivalent to saying “Voldemort.” Now, AI is at the center of many people’s daily lives and certainly at the center of business operations. I find myself using AI for everyday tasks. Unfortunately for security teams, the bad guys are using it too.

AI is becoming part of almost everything: customer support, security operations, software development, research, analytics, internal workflows, and, most importantly, drafting emails. AI is increasingly embedded in real business processes, and that creates new risks, not to mention the level of unprecedented access mainly of these platforms to our data. Token torching (a type of Denial-of-Wallet (DoW) attack) is one emerging AI risk.