Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The traditional network security model of “trust but verify” has become fundamentally inadequate for protecting modern Internet of Things (IoT) environments. With enterprise IoT deployments spanning millions of connected devices across distributed networks, organizations can no longer rely on perimeter-based security that assumes internal network traffic is inherently trustworthy.

Security teams are drowning in data. From static application security testing (SAST) and software composition analysis (SCA) to cloud security posture management (CSPM) and third-party findings, the sheer volume and variety of vulnerability data can overwhelm even the most sophisticated organizations. The problem isn’t just collecting this data—it’s making sense of it. Most solutions fail to unify these disparate data sources into a single, actionable view, leaving teams grappling with.

Your SOC exists for one core reason: to rapidly reduce the mean time to detect, investigate, and respond to threats. The more efficiently your team operates, the faster you reduce essential KPIs like MTTR, MTTD, MTTI, and what we call ‘MTTx’ (mean time to anything). Ask our Field CISO, Patrick Orzechowski (PO), and he’ll tell you straight: If your SOC isn’t relentlessly focused on reducing risk through speed, you’re falling behind. Talking about efficiency is easy.

Health-ISAC recently released their 2025 Health Sector Cyber Threat Landscape Report, a comprehensive outline of the malicious activity aimed at healthcare in the previous year. Not surprisingly, ransomware was cited by security professionals in the industry as the number one threat of 2024 and the top area of concern coming into 2025 (followed by third-party breaches, supply chain attacks, and zero-day exploits). Some things never change. However, when it comes to ransomware, they do evolve.

Let’s stop pretending AI is going to save security. Sure, it’s going to help — it already is. But the idea that defenders will somehow “keep up” with attackers just because they both have access to generative AI is a fantasy. I come at this from a red-team mindset. I’ve spent years thinking like an attacker. Now I work at a blue-team company trying to defend real systems. And here’s what’s obvious to me: AI is going to let attackers move faster.

As part of the 2025 Trustwave Risk Radar Report: Hospitality Sector, Trustwave SpiderLabs' Digital Forensics and Incident Response (DFIR) team provided an in-depth analysis of how phishing-based cybersecurity threat actors prey on organizations in the hospitality sector. Drawing on real-world incidents derived from Trustwave SpiderLabs everyday work, the report consolidates data from multiple investigations into a single case study under the pseudonym "Five Star Hotels".