Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

After Mythos: What Cyber Insurers Should Actually Be Asking

One issue we keep hearing from insurance underwriters and portfolio managers is some version of the same question: how do you price a risk that can change between bind and the very next day? The steady stream of headlines about Claude Mythos is the latest reason why this question comes up, but it isn’t really all about Mythos. Frontier AI is collapsing the gap between vulnerability disclosure and weaponized exploit, and the numbers are no longer subtle.
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The biggest security risks facing financial institutions in 2026

Financial institutions are spending more on security than they were five years ago. They have more security tools, invest more in training, have more policies in place and report on security more regularly. That sounds positive, but it does not automatically make them more secure. One of the biggest challenges for security leaders is deciding where to focus. New vulnerabilities, threat reports and regulatory requirements appear all the time. With so much competing for attention, it can be difficult to separate genuine priorities from the latest headline.

Protecting Sensitive Documents from Digital Threats

In our increasingly digital lives, we handle a vast number of documents, from personal financial statements and contracts to sensitive business reports. We often focus on securing our networks and devices, but the security of the documents themselves is frequently overlooked. Protecting these files from digital threats isn't just an IT department's problem; it's a personal responsibility for anyone creating, sharing, or storing information.

How AI-leading Security Teams Are Building the Agentic SOC

AI-enabled attacks move faster than human analysts can track, at a scale that traditional SOCs weren’t designed to withstand. eCrime breakout times collapsed to 29 minutes on average in 2025, with the fastest clocked at 27 seconds. The rise of frontier AI models is expected to compress the time between vulnerability discovery and exploitation, intensifying pressure on SOC teams. Defending against AI-accelerated adversaries requires a new operating model.

The Four Attack Patterns Traditional Security Tools Miss at FIFA-Scale Events

Every major tournament cycle, ticketing platforms brace for a traffic spike. Most security teams plan for volume. The attack data tells a different story: the traffic that does the most damage isn’t the loudest traffic. It’s the traffic that looks like a real fan, on a real device, doing something a real fan would plausibly do, just millions of times, in a pattern no single fan ever would.

AI Assisted Scripting: Updated Features and Use Case

Explore how Acronis Cyber Protect Cloud transforms IT management with AI-assisted scripting and remote remediation. This video demonstrates unified backup, security, and endpoint management, empowering IT professionals and MSPs to automate tasks, respond rapidly to incidents, and manage endpoints securely from a single console.

5 Biggest Challenges of AI in Cybersecurity

IBM’s 2025 Cost of a Data Breach Report found that 97% of organizations that experienced an artificial intelligence (AI)-related security incident lacked proper access controls on AI systems. The same report highlighted that 63% of organizations lacked governance policies to manage AI or prevent shadow AI. Despite those statistics, AI is now deeply embedded in workflows across critical business functions. Employees are using public AI tools to work faster.

Reduce SAST false positives with agentic evaluation and Bits Memories

Static application security testing (SAST) tools are intentionally conservative. Traditional scanners identify code that appears exploitable and flag the snippet for review, even when protections elsewhere in the application prevent exploitation. Although that approach helps teams catch vulnerabilities, it also creates false positives that consume developer time, slow remediation efforts, and make future alerts easier to dismiss.

GLM 5.2 Signals a New Phase of Accessible Frontier AI and a Shift in Cyber Risk

AI’s latest wave is reshaping cybersecurity in a fundamental way. Capabilities that once were limited to a handful of frontier models are now widely accessible, cheaper, and embedded across more environments. As access expands, risk is growing fast and scaling even faster.