Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most AI code review tools fail the same way. They work, in the sense that comments appear on the pull request. Then you read the comments and they are 80% “consider extracting this into a helper”, “missing test coverage”, “this variable name could be clearer”, and within a couple of weeks everyone has learned to scroll past anything the bot wrote. These are not false positives. They are true and irrelevant, which costs the same attention and is harder to argue with.

From CVE disclosure to exposure confirmation and mitigation in less than 12 hours – for every new CVE in your external environment. In this article.

And neither are attackers. Claude Mythos Preview has been public for less than two weeks. Vendor newsletters and LinkedIn feeds have covered it to exhaustion. Meanwhile, your Board has one question, in plain language, not acronyms: what does this mean for our company and are we prepared?

What the Anthropic Mythos findings mean for every security team, and the 90-day window you cannot afford to miss. Last week, Anthropic published something that should stop every CISO in their tracks. Its Mythos Preview model, running autonomously, without expert guidance, identified thousands of high- and critical-severity vulnerabilities across major operating systems, browsers, and open-source projects.

Artificial intelligence is accelerating digital transformation at an unprecedented pace. New AI-driven applications, copilots, data pipelines, APIs, and cloud services are spinning up faster than ever before. But while innovation moves at machine speed, governance often lags behind. The result? A rapidly expanding external attack surface filled with forgotten assets, abandoned cloud resources, and misconfigured DNS records — many of them quietly waiting to be hijacked.

The modern internet-facing attack surface is dynamic, JavaScript-driven, and deeply interconnected with third-party services and identity providers. Accurately securing this environment requires more than passive discovery or lightweight crawling—it requires deep, active crawling that fully simulates real-world browser behavior.

In cybersecurity, speed has always mattered, but never as much as it does today. Modern enterprises are operating in an era of constant digital acceleration. Cloud-first strategies, third-party integrations, and remote workforce enablement have massively expanded the digital footprint of nearly every organization. With that expansion has come an explosion in internet-facing assets, many of which sit outside the visibility and control of security teams.

In the current AI gold rush, teams are rapidly standing up automation, AI orchestration, and integration platforms to move faster. In many cases, speed comes at the expense of visibility and security. This is where external attack surface management becomes critical. IONIX can identify and continuously monitor a wide range of AI-related and automation assets exposed to the internet, helping organizations understand what they are running, where it is exposed, and what risks it introduces.

A newly disclosed vulnerability, CVE-2025-61757, exposes Oracle Identity Manager (OIM) to unauthenticated remote code execution (RCE). The flaw affects OIM versions 12.2.1.4.0 and 14.1.2.1.0 and carries a CVSS 9.8 Critical rating. CISA has added it to the Known Exploited Vulnerabilities (KEV) catalog — meaning active exploitation is confirmed.

CVE-2025-9501 is a critical remote code-execution vulnerability affecting W3 Total Cache versions prior to 2.8.13, a plugin used by more than a million WordPress sites to improve performance and caching. The issue lies in the plugin’s _parse_dynamic_mfunc handler, which can process user-controlled inputs inside dynamic fragments.