Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The cybercrime underground continues to evolve into a mature, service-based economy that mirrors legitimate technology markets. Threat actors are increasingly adopting professionalized business models, offering malware, access, and data-theft capabilities “as a service” to a broad audience of buyers. During the first half of 2025, Bitsight observed sustained growth in Malware-as-a-Service (MaaS) and Remote Access Trojan (RAT) activity across dark web forums and marketplaces.

On November 6, 2025, The HIPAA Journal reported that Pomona Valley Hospital Medical Center (PVHMC) agreed to pay $600,000 to settle a class action lawsuit over its use of Meta Pixel and similar website-tracking technologies. The case, Warren v. Pomona Valley Hospital Medical Center, centered on how these tools may have unintentionally transmitted user identifiers and patient information to third parties such as Meta (Facebook).

Website data leaks don’t require hackers. They happen when legitimate scripts, analytics pixels, and chat widgets transmit sensitive data to third parties through routine operations. Traditional security tools miss these leaks because they monitor server-side traffic while the exposure occurs in customer browsers. This visibility gap is why organizations use client-side monitoring platforms to detect browser-level data flows that security tools can’t see.

As cyber threats evolve from simple disruptions to sophisticated attacks capable of threatening national security, the existing legal frameworks are straining to keep pace. In response, the UK Government has introduced the Cyber Security and Resilience Bill, a landmark piece of legislation set to fundamentally reshape how the nation’s most vital services and their digital supply chains protect themselves.

Generative AI is rapidly transforming the way we work. The large language models (LLMs) that power tools like ChatGPT and Claude are immensely powerful, capable of providing us with research data, detailed insights, and even deep analysis of documents and data sets, all performed through simple, text-based prompts. However, these prompts have unfortunate side effects for the IT professionals assigned to protect sensitive and proprietary data from cyber attacks.

The UK government introduced the Cyber Security and Resilience Bill to Parliament on November 12th, 2025. Science, Innovation and Technology Secretary Liz Kendall stated: “Cybersecurity is national security. This legislation will enable us to confront those who would disrupt our way of life.” If you work in healthcare, energy, water, transport, or supply IT services to these sectors, this legislation will directly affect how you manage cybersecurity.

SAST (Static Application Security Testing) tools analyze an application’s source code to identify potential security vulnerabilities without executing the code. They are crucial for finding security flaws early in the development lifecycle, helping developers address issues before they become more costly and difficult to fix. Unlike dynamic analysis techniques, SAST operates without executing the program, focusing entirely on the static codebase.

Can you ever imagine the impact on your business if it went offline on Black Friday or Cyber Monday due to a cyberattack? Black Friday is the biggest day in the retail calendar. It’s also the riskiest. As you gear up for huge surges in online traffic, ask yourself: have you protected the APIs on which the business runs?

Your manufacturing environment might be compliant, but that doesn't mean it's protected against a cyberattack. Even compliant systems can fall victim to cybercrime. And the consequences can be devastating. The SANS Institute sends a clear message in its 2025 State of ICS/OT Cybersecurity Survey: Regulatory compliance alone is no longer enough in operational technology (OT) environments.

Earlier this month, Microsoft uncovered SesameOp, a new backdoor malware that abuses the OpenAI Assistants API as a covert command-and-control (C2) channel. The discovery has drawn significant attention within the cybersecurity community. Security teams can no longer focus solely on endpoint malware. Attackers are weaponizing public and legitimate AI assistant APIs and defenders must adjust.