Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

IT and security leaders share a common goal: to empower teams to move fast without compromising security.

With the arrival of cloud-conscious threat actors that are falling head over heels for LLM jacking and valid account abuse as cloud intrusions rose over 26% in 2024 vs 2023, being a Cloud Service Provider (CSP) you know that FedRAMP authorization is no longer about achieving a said compliance, you need to walk the extra mile to make sure you survive the ruthless competition in this space.

Artificial intelligence has gone from buzzword to business tool almost overnight. Employees are rapidly adopting platforms like ChatGPT, Gemini, and Copilot to draft content, analyze data, brainstorm code, and accelerate productivity. But as AI becomes embedded in everyday workflows, a new category of insider threat is emerging—one that is harder to detect, harder to classify, and potentially more damaging than anything security teams have faced before.

The Governor’s Technology Office (GTO) of the State of Nevada recently released an “After Action Report” on the statewide ransomware attack that disrupted state systems for nearly one month in August 2025. The report details not only what happened but also the coordinated incident response from the GTO, vendors and law enforcement partners from local, state and federal agencies.

Identifying and redacting personally identifiable information (PII) is a critical need for enterprises handling sensitive data. Over 1000 NLP models and tools claim to solve this problem, but an infinite number of options opens a paradox of choice. We compiled this comprehensive comparison that examines notable PII detection solutions – their features, use cases, pros/cons, and reported success rates.

MSPs often rely on managed detection and response (MDR) integrations, which provides enterprise-grade security capabilities without the need for in-house analysts or complex infrastructure. As MSPs grow into medium-sized businesses, they typically expand into extended detection and response (XDR) integrations, giving greater visibility across multiple security layers (endpoints, networks and cloud) and more control over how they manage and respond to threats.

Converge 2025 keynotes opened with a clear message: resilience isn’t enough in an era of complexity and AI-driven threats. Here’s how Tanium and its customers are shaping the future of Autonomous IT.