Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What recent AI security developments should change and what they should not—for security leaders and vulnerability management teams The question is no longer whether AI will affect vulnerability discovery. It is whether exposure management programs can keep up with a faster clock.

A combination of accelerating risk complexity and increasing attack times is creating a perfect storm for organizations. Responding effectively to this fast-evolving threat landscape demands more advanced capabilities.

The convergence of accelerated digitalization, complex global supply chains, and the rapid adoption of AI-driven automation, has elevated the importance of identity security. Combine this with the traditional and fragmented identity management approaches typical in manufacturing environments, and risk is multiplied. Failing to tackle identity, now becomes a direct threat to production continuity, regulatory compliance, and competitive advantage.

I recently wrote about how today’s cyber risk is defined less by breakthrough innovation and more by the industrialization of existing weaknesses. Given this, I wanted to dig a little deeper. Over a weekend I conducted some analysis on a longitudinal Aggregate Cyber Risk Index that scores six core threat vectors daily for 1,000 days on a 0–100 scale, drawing on six macro categories.

Artificial intelligence (AI) is transforming the business landscape at an accelerated pace. The announcement of Mythos from Anthropic, with its limited public release, is just one example of how LLMs are changing the speed at which unknown flaws in IT systems can be exposed.

Effective crypto asset management is now a critical priority. As adoption grows, so too does the scale and sophistication of threats that individuals and organizations now face. Digital asset security requires a layered approach, including cold storage, robust key protection, regular security testing and proactive regulatory compliance. This article examines the most prevalent threats to digital assets, outlines practical measures to mitigate risk and explores the evolution of global regulation.

This article was authored by Dave Burg Cybersecurity has long been framed as an arms race driven by increasingly sophisticated attacks. But that framing is increasingly outdated. The reality emerging from the front line is more uncomfortable: Today’s cyber risk is defined less by breakthrough innovation and more by the industrialization of existing weaknesses.

Enabling seamless user access without compromising security is a complex challenge. Gaurav Sheth, Cynthia Yang and Sorabh Chopra are helping to change that. As part of Kroll’s recently established team dedicated to Digital Identity, their focus is on transforming fragmented administration, manual processes and siloed identity solutions into mature programs.

This article provides an overview of Kroll’s investigation of the GARUDA C2 malware. Stay tuned for our upcoming white paper which will provide a deep dive into the malware’s architecture; command and control tradecraft; observed threat actor tactics, techniques and procedures; and actionable detection and mitigation guidance.

Author: Sadi Zane.