Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

During a recent investigation into AMOS InfoStealer, Kroll Threat Intelligence Team has discovered a troubling new delivery vector that leverages the growing trust users place in AI tools. In this case, attackers leveraged ChatGPT as the source of guidance, tricking victims into initiating the infection, presenting it as a legitimate solution to a common technical problem. Victims were tricked into believing they were running a harmless command to fix a sound issue on their Mac device.

For decades, cybersecurity has been organized around three dominant pillars: endpoint security, network security, and cloud security. These domains have shaped technology categories, vendor ecosystems, and enterprise budgets. They have matured into multi-billion-dollar markets, each responding to successive waves of digital transformation. However, a tectonic shift is underway.

When UNECE WP.29 came into force, it transformed the global automotive industry. For the first time, cybersecurity became a mandatory requirement for modern vehicles — not a marketing feature, not a technical add-on, but a regulated obligation. WP.29 forced manufacturers to rethink how vehicles were designed, updated and secured, requiring formal Cybersecurity Management Systems (CSMS) and Software Update Management Systems (SUMS) across the entire vehicle lifecycle.

CrowdStrike is introducing two powerful innovations in CrowdStrike Falcon Shield to stop identity-based attacks in the AI era: a centralized view of AI agents across platforms and the integration of first-party SaaS telemetry into CrowdStrike Falcon Next-Gen SIEM — the industry’s first native integration of SaaS security posture management (SSPM) and next-gen SIEM.

In late November 2025, developers and API users of ChatGPT and OpenAI’s platform received a note that felt personal: an alert about a data exposure linked not to OpenAI’s own servers but to a third-party analytics vendor. That vendor was Mixpanel.

The attack landscape has been dynamic following the disclosure of the React Server Components RCE vulnerability. New information has emerged regarding the initial Proof-of-Concept exploit, as well as improved detection methods, exploitation mechanics observed in the wild, and rapidly growing attack activity. This update summarizes the changes and observations we have made across Wallarm customers.

Tokenization replaces sensitive data with non-sensitive stand-ins called tokens. The mapping between the token and the original value sits in a secure service or vault. If attackers steal a database full of tokens, the stolen data has little value. This is why tokenization is popular for payment card industry (PCI) workloads, customer PII, and healthcare records. Yet tokenization is not magic. Like any control, it has weak points and practical limits. Teams often learn about those limits the hard way.

In this article, we’ll break down the three most prevalent runtime threat vectors behind most modern cloud breaches – and why traditional cloud security tools fail to detect them. Let’s get one thing clear: the cloud itself hasn’t become more dangerous – but cloud-native architectures fundamentally changed the threat landscape. In the datacenter era, most threats targeted hosts, networks, and endpoints.

Every day, professionals and knowledge workers lose hours digging through files, reports, and systems. The information is out there, but it’s buried. Instead of shaping strategy, people get stuck chasing down data. Even with strong IT, time spent searching has only grown since 2002, now averaging 1.8 hours a day, according to a McKinsey study. Think about it: They all need clarity fast. But, what they get is fragments spread across disconnected sources and hours of searching.