Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Tracking AI use across business units requires a purpose-built approach that combines endpoint monitoring, browser-level telemetry, network security tools, and a centralized AI governance platform. Most organizations rely on some combination of IT asset management, SaaS monitoring, and manual surveys to understand what AI tools employees are using.

How OT teams can run safe, OEM-validated patch management on operating systems Microsoft no longer supports. For plant security leads, OT engineers and industrial CISOs. Industrial patch management is the practice of identifying, validating and applying security patches to PC-based assets in industrial environments: HMI workstations, SCADA servers, engineering workstations and historians.

An analyst pulls up the DLP console expecting to see alerts on the source code, customer records, and financial data employees paste into ChatGPT, Copilot, and a dozen other AI tools every day. Instead, the console is quiet, because the policies enacted by the legacy DLP system were built to catch file transfers and email attachments. But, none of the above traffic looks like a file transfer.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

Keeper protects over 95,000 organizations, which includes many Fortune 500 enterprises and public sector agencies. The company is quickly emerging as the market standard for AI-native identity security for enterprises globally with its leading zero-trust and zero-knowledge identity security platform.

Most TPRM alerts tell you the same thing: a vendor's score changed. A number moved. Something is different. What they don't tell you is which specific vulnerability caused it, whether it's real, or whether it's already inside your network. That last part is the question that keeps security leaders up at night, and most TPRM programs were never designed to answer it.

From a fast-scaling ransomware operator to a Russian state-sponsored espionage group now experimenting with LLM-powered malware, and a data extortion collective that has weathered arrests without slowing down, these three threat actors span the full spectrum of financially and geopolitically motivated cybercrime. CYJAX breaks down what each group does, why they matter, and what security teams should know.

Let’s catch up on the more interesting vulnerability disclosures and cyber security news gathered from articles across the web this week. This is what we have been reading about on our coffee break! Always worrying (for the dependent companies) when such a large consultancy takes a hit.

Most security providers can describe what they should be able to do. Fewer can demonstrate what they actually see, track, and respond to in live environments. That distinction matters more now than it did even a year ago. Attack surfaces have expanded beyond users and endpoints into machine identities, autonomous systems, and internet-facing infrastructure rapidly. At the same time, detection claims have become broader (often without a corresponding increase in observable capability).

Credential sprawl has long been an issue IT and security teams have had to grapple with, and solutions like single-sign-on (SSO) have never been able to contain it completely. Now, AI is accelerating the problem. AI agents need access to credentials at an unprecedented scale, leaving IT and security teams struggling even more to ensure that every credential, across every department, is secure.