Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Many IT professionals struggle to integrate artificial intelligence (AI) into their existing environments. You often find expensive hardware trapped in isolated clusters or dedicated hosts. Your infrastructure team manages access through manual ticket queues, which leads to low utilization and frustrating bottlenecks for developers. When you don’t have a standardized way to share and monitor accelerator resources, every hardware change risks downtime for your critical applications.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Security teams are being asked to move faster and handle more complexity, while the threats they defend against are increasingly AI-assisted. When I wrote about VoidLink in January, my point was simple: you cannot fight machine-speed threats with human-speed defense. Attackers are using AI to code, adapt, and scale attacks while humans are still grinding away doing the heavy lifting in the SOC.

A surge in shipping-related phishing scams is targeting the Middle East and Africa (MEA) region, according to researchers at Group-IB. “To deliver the scam, the attacker sends a phishing link to victims via SMS using various spoofing or bulk-message techniques,” the researchers write. “These links are typically optimized for mobile devices, since most victims open SMS messages on their phones.

Cato CTRL has discovered a q-based delivery technique used against an Italy-based consumer services company associated with PhantomBackdoor, a multi-stage WebSocket-based backdoor previously reported in a Ukraine-focused spear phishing operation by SentinelOne. In SentinelOne’s earlier reporting, initial access relied on phishing lures and a ClickFix-style flow that triggered a staged PowerShell and ended with a WebSocket backdoor.

Artificial intelligence has moved from pilot project to core enterprise infrastructure faster than most security programs can adapt. AI is automating workflows, surfacing insights from complex datasets, and changing how work gets done across every function. But with that acceleration comes a new and expanding attack surface that most organizations are only beginning to understand.

Author: Sadi Zane.

When it comes to selecting a protocol to share files over the network, you commonly come across the SMB and CIFS terms in software interfaces and documentation. Some users think that SMB and CIFS are the same thing, and clearly identifying the difference may be difficult. However, let’s look at why CIFS can’t be used as a synonym for SMB. Learn about the SMB vs CIFS protocols differences and how to use the terms.

AI agents are only as effective as the data they consume. In this post, we explore the unsung hero of the security stack: data normalization. This process serves as the deterministic guardrail that makes AI grounding possible. Without a structured data foundation, grounding is only as good as the often chaotic data being retrieved, leading to confident but incorrect AI responses.

The cybersecurity landscape has fundamentally shifted in the last several years. Adversaries are no longer just using AI to draft phishing emails; they're deploying autonomous AI agents capable of executing end-to-end attack chains, from initial reconnaissance through lateral movement and data exfiltration. Anthropic's1 analysis of recent incidents indicates a rapid acceleration in attacker adoption of agentic workflows, dramatically shortening the time between initial access and impact.

CrowdStrike Falcon Platform for Government, our FedRAMP High authorized offering, has expanded to include CrowdStrike Falcon for XIoT. This addition delivers native XIoT visibility and protection through the CrowdStrike Falcon platform so government agencies can protect connected assets and critical infrastructure.