Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Some traditional security methods are no match for evolving cyber threats, which is why zero trust is an essential addition to every organization’s arsenal. Unlike perimeter defenses, zero trust secures access at every level, verifying every device and user continuously to create a security posture that is far harder to penetrate. Gartner reports that 63% of organizations now use a zero trust strategy, a shift driven by the rising costs and frequency of successful breaches.

Trustwave has attained authorized status by the Federal Risk and Authorization Management Program (FedRAMP) for its Government Fusion platform. This announcement follows Trustwave being named last year as an official StateRAMP-authorized vendor. These achievements cap a multi-year journey through the FedRAMP process and make Trustwave the only pure-play Managed Detection and Response (MDR) provider recognized by FedRAMP.

This article explores why AI is complicating compliance and the critical steps enterprises must take to avoid regulatory pitfalls.

CVE-2025-0108 is a high-severity authentication bypass vulnerability affecting Palo Alto’s PAN-OS, the operating system for their next-generation firewalls. This flaw allows an unauthenticated attacker with network access to the PAN-OS management web interface to bypass authentication controls and execute restricted PHP scripts.

Lately, it seems like the only thing anyone is talking about in the technology sector is Artificial Intelligence. With good reason! AI is an incredibly powerful tool that is only going to grow in usage and scope. However, there seems to be a lot of confusion around various terms involving AI and security. The focus of this blog will be breaking down the differences between securing AI, secure AI use, AI for security, and AI safety.

Confidently scale AI initiatives with irrefutable proof of ethical data practices and compliant AI operations. In today’s rapidly evolving digital landscape, the intersection of data provenance and AI governance has become mission-critical for businesses. As AI continues to shape industries – from healthcare and finance to media and technology – the need for verifiable data integrity and responsible AI oversight has never been more urgent.

Our journey with GitHub proxy support began with an internal challenge: securing our most critical repositories against unauthorized acess. As a company that manages infrastructure as code, including sensitive systems like Hardening Okta with Terraform, we needed an ironclad solution to lock down acess to our codebase. The problem was that traditional authentication methods like SSH keys and Personal Access Tokens (PATs) left our repositories vulnerable to unauthorized access.

Machine Learning (ML) has revolutionized industries by empowering systems to learn from data, make predictions, automate decisions, and uncover insights—all without the need for explicit programming. With ML, systems can: In network security and cybersecurity, ML and other emerging technologies are crucial for detecting malicious activities such as unauthorized access, data breaches, and other complex security threats.

Companies are rapidly moving to hybrid cloud environments, with most of them already making this transition. This fundamental change affects how organizations handle their infrastructure.

Spear phishing was the top cybersecurity threat to the manufacturing sector over the past six months, according to a report from ReliaQuest. These attacks accounted for 41% of true-positive alerts in the sector. “Spear phishing remains a favored tactic for attackers targeting manufacturing companies—and it’s easy to see why,” ReliaQuest says.