A major cybersecurity transition is unfolding across governments, financial institutions, and enterprise technology environments. Over the past two months, U.S. agencies, allied governments, regulators, financial institutions, and major AI providers have taken unusually coordinated steps to address a growing concern: advanced AI systems are accelerating cyber capability faster than existing security models can adapt. The signals are coming from multiple directions at once. CI

Cybersecurity is no longer just an enterprise risk problem. It is becoming a financial stability problem. That may sound dramatic, but it is exactly where the conversation is heading. Financial regulators, central banks, and public-sector cyber agencies are increasingly looking at artificial intelligence not only as a tool for productivity, but as a force that can change the speed, scale, and impact of cyber risk. The reason is simple: AI can help attackers move faster. It ca

Artificial intelligence is changing enterprise cyber risk faster than many governance programs can adapt. The issue is no longer only that attackers are using AI to write better phishing emails, automate reconnaissance, or accelerate vulnerability discovery. The larger problem is that enterprises are also embedding AI into business workflows, SaaS platforms, developer environments, and security operations before identity, access control, monitoring, and risk ownership models

The cybersecurity conversation around AI has shifted quickly. Google Threat Intelligence Group recently reported the first instance it has identified of a threat actor using a zero-day exploit that Google believes was developed with AI assistance [1]. That was the warning shot. Microsoft’s latest security announcement shows the other side of the same shift: defenders are now using AI agents to discover vulnerabilities, validate exploitability, and accelerate security research

AI-powered cyberattacks are no longer theoretical. Google Threat Intelligence Group recently reported what it described as the first instance it has identified of a threat actor using a zero-day exploit that Google believes was developed with AI assistance [1]. The exploit was designed to bypass two-factor authentication in a web-based administration platform, and Google said its early discovery may have prevented a wider attack [1][2]. I also saw this theme reinforced at CAN

Executive Summary The National Institute of Standards and Technology (NIST) is actively exploring how identity, authentication, and authorization must evolve to support AI systems and autonomous agents. Recent federal direction and concept work point toward a future where non-human identities (NHIs), including AI agents, must be governed with the same rigor as human users. For enterprises, this represents a structural shift in how trust is established and enforced. Organizati

The future of cybersecurity will be shaped by how we integrate AI, not just how we defend against it. Recently, NIST released the Initial Public Review Draft of IR 8596: Cybersecurity Framework Profile for Artificial Intelligence . The document aims to extend the Cybersecurity Framework to address both the security of AI systems and the use of AI in cybersecurity operations. We reviewed the draft closely and submitted formal public comment. Here’s our take. What NIST Got Righ

The past few days have been a stark reminder of how fragile the digital world can be. First, the fallout from the Salesforce → Salesloft disruption rippled through companies big and small across the world. Then, a major outage at Amazon Web Services (AWS) brought parts of the internet to a standstill. And of course, many still remember the great Crowdstrike outage of 2024? These incidents exposed a deep structural vulnerability in today’s technology landscape: a handful of