Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Healthcare carries the highest average breach cost of any industry and has for well over a decade, and it operates under a rule that has required risk analysis since 2003. Those two facts sit uncomfortably together, and federal regulators have started saying why. ‍ Enforcement has moved from asking whether an organization performed a risk analysis to asking what it did about the findings.

An AI governance framework tells a financial institution to inventory its systems, assess risk and document decisions. Consumer protection law tells it something different and considerably harder, which is that a model unable to produce specific reasons for a credit denial cannot lawfully be used to make one. ‍ That distinction is what separates AI governance in financial services from AI governance generally.

Black Hat USA 2026 wrapped in Las Vegas with a clear verdict: the industry has stopped debating whether AI changes the threat landscape and started building for the fact that it already has. Nearly a third of the conference's briefings dealt directly with AI security, agent exploitation, or LLM-assisted offensive research — and the conversations happening in partner meetings and dinners around the show floor tracked right alongside it.

SIEM is a platform that centralizes logs from across an environment, normalizes them, and correlates them in real time to surface threats and satisfy compliance audits. Gartner's 2024 reprint records SIEM market growth from $5.03 billion in 2022 to $5.7 billion in 2023, a 13% annual growth rate (Gartner's SIEM definition). You're likely dealing with the problem SIEM was built to solve.

CVE-2026-60702 is a vulnerability in the Core component of Oracle WebLogic Server, part of Oracle Fusion Middleware, that allows a low-privileged attacker with network access over the T3 or IIOP protocols to compromise the server. Oracle published the issue on August 18, 2026, as part of its August 2026 Critical Security Patch Update. The vulnerability carries a CVSS v3.1 base score of 9.9 (Critical).

Vietnam has emerged as a cornerstone of the global digital economy, but this rapid digitization has come with a significant surge in sophisticated cyber threats. As the country transitions into a more mature technological landscape, the methods used to protect its most critical asset, the workforce, must also evolve. We are witnessing a pivotal move away from traditional, checkbox in-person training toward modern, automated and AI-driven digital resilience.

For years, ransomware was treated mostly as a malware problem. A user clicked something bad, files were encrypted, a ransom note appeared and everyone had a very bad week. That version still exists, of course, because cybercriminals love recycling old hits. But ransomware has changed significantly over the last year.

A staging site is meant to last a week, but six months later, it still resolves on a company subdomain, runs an old framework, and has no clear owner. The asset never made it into the central inventory, which means that it also missed the normal cycle of testing, patching, and retirement. That is how many Shadow IT Security problems develop. The original shortcut may have been reasonable, but the risk grows when temporary infrastructure becomes part of the permanent attack surface without anyone noticing.

In 2021, we assessed remote Spectre attacks against Cloudflare Workers. Based on the results, we shipped a production defense called Dynamic Process Isolation (DyPrIs), which identifies maliciously looking scripts and isolates them into separate processes. Since then, newer techniques in the area of stabilizing Spectre attacks have been discovered. To understand if these techniques posed a threat to our Workers production environment, we decided to internally reassess the remote Spectre attack.

Static roles work until the environment changes. Authentication can confirm who or what is making a request, but it cannot determine whether that identity should perform a specific action under current conditions. As infrastructure, services, and AI agents evolve, permissions granted months ago rarely reflect what an identity actually needs to accomplish. Among companies planning to deploy agentic AI within two years, only 21% report having a mature model for agent governance.