Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI-accelerated threat discovery is reshaping network security

How AI-accelerated threat discovery is reshaping network security As vulnerabilities are discovered faster than ever, organizations must rethink how they reduce exposure and contain risk at the network edge. Claude Mythos Preview has reignited debate about AI-driven cyber attacks, but the real shift isn’t what AI finds, it’s how quickly issues at the network edge can turn into impact. This post explores what’s changed and how network security must adapt to keep up.

Donuts and Beagles: Fake Claude site spreads backdoor

A malicious imitation of Anthropic’s Claude site leads to DLL sideloading – and a backdoor As we reported on social media recently, Sophos X-Ops has been investigating reports of a fake Claude AI website distributing malware. Like other researchers, we thought this might be a PlugX-like campaign, given that the attack chain shares several characteristics with observed PlugX attacks.

Introducing early access for Case Review Agents: AI decisioning for high-stakes identity decisions

Every day, your review team makes hundreds of decisions that determine who gets access to your platform. These decisions carry a lot of weight. Get them right, and you protect your business while delivering a seamless user experience. Get them wrong, and you either block legitimate users or open the door to fraud. As your business scales, these decisions get harder to manage. Case volume climbs, fraud tactics shift, and regulatory expectations evolve.

Top 7 Best ERP Authorisation Software Providers Active in Europe

Unauthorised access within ERP systems remains one of the most underestimated risks in enterprise security. A 2023 threat report by Onapsis and SAP revealed that new SAP vulnerabilities were being weaponised within 72 hours of patch release. That finding alone should make any compliance officer rethink how access rights are governed internally.

The New Vanguard: Strategic Leadership in the Age of Autonomous Threats

The threat landscape of 2026 is no longer defined by the singular hacker or the isolated malware strain. We have entered the era of the "Autonomous Adversary"-a period where AI-driven social engineering, automated vulnerability discovery, and polymorphic code are the standard tools of state-sponsored and criminal actors alike. For the security professional, the traditional defensive perimeter has dissolved. To navigate this complexity, the industry is moving away from purely tactical responses toward a model of "Cyber-Resilience and Strategic Governance.".

Designing AI workflows: principles for safety and control

Most teams adopting AI in their workflows understand that LLMs do not behave like traditional software. The same input does not always produce the same output, and even when it does, the model can be wrong, manipulated, or misled. Hallucinations happen even without adversarial input. Air Canada learned this in 2024 when a tribunal ordered the airline to honor a bereavement-fare refund policy its support chatbot had invented out of thin air.

When DNSSEC goes wrong: how we responded to the .de TLD outage

On May 5, 2026, at roughly 19:30 UTC, DENIC, the registry operator for the.de country-code top-level domain (TLD), started publishing incorrect DNSSEC signatures for the.de zone. Any validating DNS resolver receiving these signatures was required by the DNSSEC specification to reject them and return SERVFAIL to clients, including 1.1.1.1, the public DNS resolver operated by Cloudflare. The country-code top-level domain for Germany, .de, is one of the largest on the Internet.

AI in security feels harder than it is

Anyone who's stood up a SIEM from scratch knows the feeling: weeks of infrastructure work, integration headaches, and a services team alongside for the whole process. That experience shaped how people think about adopting anything new in security ops. The instinct is to treat AI the same way: budget for it, plan for it, bring in specialists. This instinct is costing teams real time. Traditional infrastructure takes great effort to stand up. Infrastructure-as-code happens in seconds.