Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When Anthropic introduced Mythos Preview, the story practically wrote itself. Here was a frontier AI model taking work that once required researchers and threat actors a lot of time and compressing it into hours. Mythos demonstrated the ability to find and exploit vulnerabilities across major operating systems and browsers. In controlled testing, it produced a working Firefox code-execution exploit in less than an hour and developed eight in roughly 12 hours.

Cisco has disclosed a critical authentication bypass affecting Cisco Identity Services Engine (ISE) and Cisco ISE Passive Identity Connector (ISE-PIC). Tracked as CVE-2026-76460, the vulnerability allows an unauthenticated, remote attacker to send a crafted request to an affected API endpoint and bypass the web-based management interface. The vulnerability received the highest possible CVSS v3.1 score of 10.0.

When a new CVE drops, getting notified is the easy part. The real challenge comes right after. Depending on how your organization is set up, different teams have to scramble to figure out if you're actually using the affected product, which specific versions are exposed, whether it's lurking anywhere in your subsidiaries or vendor ecosystem, and how urgently you need to patch it.

Security teams rarely work from a single rulebook. They may use the NIST Cybersecurity Framework to organize the program, ISO/IEC 27001 to build a formal management system, SOC 2 reports to assess vendors, and laws such as HIPAA, GDPR, DORA, or NIS2 to meet legal obligations. Those names are often grouped together, even though they serve different purposes. Some provide guidance. Some can be certified or independently assessed. Others are contractual requirements, laws, or mandatory sector standards.

The tricky thing about AI compliance is that most organizations are going to experience it from both sides. You need to be able to explain how AI is being used inside your own organization, what it can access, and how you're managing the risk. At the same time, you need to understand how your vendors are using AI and whether that introduces new risk into your environment.

In our previous “ABC’s of ‘ishing” posts, we explored how attackers use social media, calendar invites, fake CAPTCHA challenges, and other trusted tools to deceive users. This next installment looks at three phishing techniques that continue to put organizations and individuals at risk: evil twin phishing, domain spoofing, and email phishing.