Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Modern security teams are not lacking data. They are drowning in it. Threat intelligence feeds, indicators, campaigns, internal detections, and investigation artifacts are constantly growing in volume and complexity. Yet when analysts need answers, they are often forced to manually search, pivot, correlate, and interpret across multiple data points. This creates a familiar problem: too much data, not enough clarity.

The proliferation of credentials outside centralized visibility and control is known as “credential sprawl,” and attackers are eager to take advantage of it. Unfortunately, credential management is a broad problem that only grows in complexity as organizations add new tools, employees, and partners.

Setting up and managing client environments often involves repetitive, manual work. Each new managed company requires policy setup, access configuration, and ongoing oversight. Repeating this across environments slows onboarding, introduces inconsistencies, and makes it harder to maintain control.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo 92% of security leaders say something is actively reducing their trust in AI within the SOC. These aren’t skeptics, they’re people who have already adopted AI and believe in its ability to enhance security operations. We know from the 2026 AI SOC Leadership Report that AI is already widely adopted in the SOC, with 94% of organizations using it in some capacity.

Agentic AI is forcing a hard question on every security leader: when your SOC is full of autonomous “doers” instead of just dashboards and scripts, is that your new best friend or a brand‑new risk surface you barely understand? The honest answer is both, and the way you design, govern, and deploy these systems will decide which side wins.

On May 6, 2026, Palo Alto Networks disclosed a critical buffer overflow vulnerability (CVE-2026-0300) in the User-ID Authentication Portal (Captive Portal) component of PAN-OS. This vulnerability allows an unauthenticated, remote attacker to execute arbitrary code with root privileges on affected PA-Series and VM-Series firewalls by sending specially crafted packets. No user interaction or credentials are required.

BOSTON, May 7, 2026 — Snyk, the AI security company, today announced it is leveraging Anthropic's Claude models to advance software security in an era of AI-powered development. Starting today, Snyk has integrated Claude into the Snyk AI Security Platform — powering automated vulnerability discovery, prioritization, and developer-ready fixes across code, dependencies, containers, and AI-generated artifacts. The threat driving that integration is real and accelerating.

A lot has landed in the platform this month. Below is everything that’s new, what’s improved, and what’s been fixed in April’s ThreatSpike product update.

A recent American Banker article, “Knock on wood: Are banks doing enough to cope with Mythos?” raises a timely and uncomfortable question about advanced AI models like Anthropic’s Claude Mythos. As highlighted in the article, INETCO CEO Bijan Sanii points out a critical truth: The conversation is being fueled by the emergence of AI technology capable of identifying software vulnerabilities at a speed and scale that was previously unimaginable.

On December 31, 2025, the DEA issued its fourth temporary extension of the COVID-era telemedicine flexibilities, keeping the current rules in place through December 31, 2026. For telehealth companies prescribing controlled substances, the extension was welcome news.