Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a rare and unprecedented incident, a massive operational dump belonging to the North Korean Kimsuky APT group was leaked on a dark web forum. The leak containing virtual machine images, VPS dumps, phishing kits, rootkits, and thousands of credentials offers an unparalleled look into the inner workings of one of Pyongyang’s most prolific cyber espionage groups.

As AI and automation increasingly become embedded into healthcare operations, securing these technologies becomes critical, especially for organizations managing protected health information (PHI), which are frequent targets for cybersecurity threats such as data breaches and unauthorized access. ‍ To safeguard this sensitive data, regulatory agencies like the U.S. Department of Health and Human Services (HHS) enforces strict cybersecurity and privacy regulations under HIPAA.

Trustwave, A LevelBlue Company, is a huge proponent of employing offensive security tactics to ensure a client is properly protected. For Trustwave, the reason is obvious. Offensive security is an effective approach to evaluate and enhance an overall security posture. We’ve written about this before (just check here, here, and here), but today we will explore the difference between an Authenticated Scan and an Unauthenticated Scan. Let’s set the stage by defining the two types of scans.

Generative AI can deliver great improvements in work productivity and quality. But business users must be able to rely on the dependability of the responses their AI tools generate for them. That’s only possible with sophisticated, often complex prompts. In addition, companies want AI solutions that ensure a high level of consistent results across teams. With gen AI, when 10 users ask the same questions using their own prompts, they get 10 different responses.

What if just one line in a chatbot prompt could turn into a regulatory nightmare? That’s the reality enterprises face today. In fact, Gartner predicts the average data breach will exceed $5M by 2025—and AI-driven systems multiply those risks in ways traditional IT never prepared us for. Unlike legacy apps, AI doesn’t just use data—it feeds on it, reshapes it, and sometimes leaks it right back out.

The revolution is already inside your organization, and it's happening at the speed of a keystroke. Every day, employees turn to generative artificial intelligence (GenAI) for help with everything from drafting emails to debugging code. And while using GenAI boosts productivity—a win for the organization—this also creates a significant data security risk: employees may potentially share sensitive information with a third party.

Keeper Security has once again been recognized for outstanding innovation in cybersecurity. The German technology publication connect professional awarded KeeperPAM, our Privileged Access Management (PAM) solution, the highest possible rating: “very good,” in its latest product review.