Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Exposure Management in the AI Era | Introducing EDR Compensating Controls Awareness

In this Feature Focus, Megan Horner, Product Marketing Director at Seemplicity, explores the evolving landscape of vulnerability management in the AI era. As the rise of AI models like Claude Mythos enables attackers to shrink exploit windows, security teams are facing an overwhelming flood of high-priority vulnerabilities.

AI vs. AI: Fighting the Next Wave of Cyber Attacks with Ravid Circus

Recently our CMO, Tony Thompson, caught up with Seemplicity co-founder and CPO, Ravid Circus, in Paris to talk about the massive shift in the cybersecurity landscape caused by Claude Mythos. As AI research models like Claude Mythos hyper-scale the ability to identify vulnerabilities and weaponize exploits in minutes rather than months, traditional risk-based vulnerability management must evolve. In this video, you will learn.

The Verizon 2026 DBIR Confirms the Shift from Vulnerability Management to Exposure Management

Every year, the Verizon Data Breach Investigations Report (DBIR) gives the security industry a chance to step back from the noise and look at what happened. Not what vendors predicted. Not what attackers threatened. Not what defenders feared. What happened. This year’s report makes one point hard to ignore: vulnerability exploitation became attackers’ initial leading access vector.

Protestware by open source maintainer to hinder agentic coding: The jqwik 1.10.0 Prompt Injection

On May 25, 2026, the maintainer of jqwik, a Java property-based testing library, released version 1.10.0 to Maven Central with a hidden instruction intended for AI coding agents. The payload told agents to disregard previous instructions and delete all jqwik tests and code. It was hidden from humans with ANSI terminal codes but left fully readable to any tool that captures raw output.

What is Vulnerability Prioritization & Why Now?

Security teams are drowning in vulnerabilities. FIRST’s 2026 Vulnerability Forecast projects a median of approximately 59,000 new CVEs this year, following the 48,185 released in 2025. That is equivalent to more than 130 new disclosures each day. No team, big or small, regardless of budget, can patch all these vulnerabilities. Given no deliberate way of deciding what to patch first, organizations waste resources on low-risk findings and allow truly dangerous exposures to go unpatched.

Emerging Threat: (CVE-2026-0257) PAN-OS GlobalProtect Authentication Bypass via Forged Override Cookies

CVE-2026-0257 is an authentication bypass vulnerability in the GlobalProtect portal and gateway of Palo Alto Networks PAN-OS software that lets a remote attacker forge an authentication override cookie and establish an unauthorized VPN connection. The vulnerability carries a CVSS base score of 7.8 (High). It is tracked under CWE-565, reliance on cookies without validation and integrity checking. Exploitation is unauthenticated and requires no user interaction.

Miasma supply chain attack: malicious code found in @redhat-cloud-services npm packages

On June 1, 2026, researchers identified malicious code embedded in at least 32 package releases published under the @redhat-cloud-services npm namespace, a set of frontend components and API clients that power the Red Hat Hybrid Cloud Console. The compromised releases carry a preinstall script that runs an obfuscated payload the moment a package is installed, harvesting developer and cloud credentials and attempting to spread itself to other packages the victim can publish.

Automated vulnerability remediation: A governance, validation, and rollout guide for enterprise teams

Automated vulnerability remediation uses policy-driven workflows to execute approved remediation actions, including patch deployment, software updates, and configuration changes, consistently across managed assets. Within a broader vulnerability management program, it helps teams close the gap between identifying an exposure and safely resolving it at scale.

Reducing Time-to-Protect with Cato's Self-Evolving Vulnerability Protection Agent

TL;DR: In the age of frontier AI models, vulnerability discovery and exploit development are scaling faster than human defenders can manually respond. Security teams already face growing CVE volumes, shorter exploitation windows, and manual workflows for researching vulnerabilities, creating protections, validating them, and preparing them for deployment. As attackers weaponize vulnerabilities faster than organizations can patch them, time-to-protect is becoming a critical security metric.