Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Every few weeks, a new story surfaces: an AI agent deletes a production database, an autonomous coding tool racks up a five-figure cloud bill, or a chatbot exfiltrates internal documents through a prompt injection attack. The reaction is predictable. “AI is dangerous.” “LLMs can’t be trusted.” “We need better guardrails on the model.” But if you look at the root cause of these incidents, the model is rarely the problem. The system around it is.

Mac patch management is the process of identifying, testing, and deploying software updates across macOS endpoints and third-party applications to reduce the window of exposure before attackers can exploit known vulnerabilities. It's a foundational practice within any enterprise cybersecurity program, particularly as Mac adoption in corporate environments continues to grow.

PCI DSS controls are no longer just a compliance checkbox — they’re a mandatory security baseline that stands between your customers’ card data and sophisticated cybercriminals who are faster, smarter, and better-funded than ever before. According to the Nilson Report, global card fraud losses exceeded $33 billion in 2022 and are projected to surpass $38 billion by 2027.

As 2026 rolls on, our capacity to prompt ourselves silly appears to be limitless. We’ve already seen the financial, legal, and reputational damage to Deloitte as they partly refunded the Australian government for a 237-page audit report containing LLM-generated hallucinations like fabricated academic references, fake footnotes, and a false quote attributed to a judge.