Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Let’s be honest — nobody wakes up excited to read documentation. You’ve been there. You’re configuring a tricky workflow, testing an API, troubleshooting a weird corner case. And instead of finding the answer fast, you’re 12 tabs deep, elbows in a PDF appendix, hoping for a miracle. That’s not how it should be.

Everyone’s racing to build copilots right now. But making an agentic AI that feels like a trusted teammate—one that understands context, acts safely, and simplifies complex workflows—is harder than it looks. While building Nyx, our agentic AI copilot for security teams, our team spent a lot of time thinking about how to make her an effective team member - skilled and trustworthy.

Netskope Threat Labs is pleased to announce the release of a new open-source tool that detects supply chain attacks. Our new tool, Behavioral Evaluation of Application Metrics (BEAM), requires no endpoint agent deployment and will analyze the network traffic you are already capturing in your organization to determine if your applications are communicating with unusual hosts that could be part of an attack. This tool is the subject of a 2025 Black Hat USA briefing.

Enterprises deploying AI agents and LLMs often look to prompt scanning as their first line of defense against privacy and security breaches. The idea is simple: analyze the text of the user’s prompt before it reaches the model, detect it for sensitive keywords or patterns, and block the sensitive words that may trigger a security or compliance issue. Enterprises thought this was a safe around, till they walked into unexpected issues.

Artificial intelligence (AI) is not a new concept or technology in the world of cybersecurity. It’s been iterated and utilized by security professionals for decades. But as both cybersecurity technology and cyber threats continue to advance, AI is being adopted by organizations at a rapid pace, all of whom seek to harness AI’s power to automate, advance, and empower their security.

AI is transforming the way we work. There are immense opportunities for automation, intelligent decision-making, and productivity gains. This transformation is a tremendous opportunity, but it also comes with tremendous responsibility, especially when security is involved. For example, AI systems can now act on behalf of users, access sensitive data across tools, and make decisions without oversight, all of which have security implications.

Lawyers and law firms are slowly seeking the benefits of cloud storage to help manage client data, share files securely, and keep important data backed up. In 2024, approximately 75% of attorneys used cloud storage for work-related tasks, up 6% from 2023. So, as lawyers start to adopt cloud storage, they may be wondering what the most secure cloud storage is for law firms.

Federal agencies are moving fast to unlock AI's potential—from improving citizen services to driving mission outcomes. But with all that innovation comes a new wave of complexity and risk. Security, trust, and transparency can’t be afterthoughts. They need to be part of the build and AI adoption process from day one. AI-driven development is exponentially increasing both code speed and code insecurity, as AI generates code with up to 40% more vulnerabilities than human developers.

In a year defined by AI-driven transformation, Gartner’s 2025 Hype Cycle for Application Security couldn’t have come at a better time. The report outlines a seismic shift in how security leaders approach modern threats, and we are proud to share that Appknox has been recognized as a sample vendor in this year’s edition.