Synthetic data has been fine for testing software for decades. Traditional apps follow rules. You check inputs, check outputs, file a bug when something breaks. AI is different. AI gets deployed into the situations where the rules aren’t clear and context is everything. The edge cases aren’t exceptions. They’re the whole point. That changes what your test data needs to look like.

Most law firms have moved email, documents, and collaboration to Microsoft 365. And most assume Microsoft is backing up that data. They’re wrong. According to Microsoft’s own Services Agreement, “We recommend that you regularly backup Your Content and Data that you store on the Services or store using Third-Party Apps and Services.” Microsoft provides infrastructure redundancy—if their data center has a problem, your data is replicated elsewhere.

It’s tempting for organizations to let employees use their devices for work. It saves money, is convenient for users, and allows corporate network access from remote locations. However, “bring your own device” (BYOD) arrangements can lead to serious security risks compared to issuing company-owned devices. In this post, we’ll assess the main BYOD security risks and explain how you can prevent them.

DLP and Secude solutions protect your IP data from generation to storage to deletion - no matter where it travels. Here’s how. Building designs, mechanical drawings, structural plans. CAD software is the backbone of modern AECO projects and contains some of AECO’s most confidential intellectual property (IP). But most architects, engineers, construction firms and operations companies still rely on Data Loss Prevention (DLP) tools to protect their CAD data.

In late 2025, a Fortune 50 enterprise decided to deploy autonomous AI agents across core business operations. Customer support that could reason through complex issues. Supply chain systems that could adapt in real time. Product managers with AI assistants pulling insights from dozens of data sources simultaneously. The capabilities that made the agents useful also introduced a problem nobody had a clean answer for. These weren’t chatbots locked inside a single application.

Explore the risks and benefits of the Dark Web and learn why Dark Web monitoring is essential for identifying threats, preventing data breaches and strengthening cybersecurity.

Agent skills are becoming the building blocks of AI-native software development, giving coding agents structured, versioned context, like how to use your APIs, how to build in your codebase, and how to enforce your team's policies. Developers install them from registries the same way they install npm packages or Python libraries. But unlike npm or PyPI, the agent skills ecosystem is new.

Cursor's security team built four autonomous agents that review 3,000+ PRs per week, catch 200+ vulnerabilities, and open fix PRs automatically. The engineering is impressive, and the prompts are shockingly simple. But there's a meaningful gap between "LLM agents reviewing PRs" and "enterprise security program," and that gap is exactly where things get interesting.

Modern software development relies on open-source components to accelerate innovation. This efficiency, however, introduces significant risk. Your application’s security is now tied to a vast and complex supply chain of code you did not write. The persistent software supply chain challenge is that this external code is a primary source of critical vulnerabilities and a hard.