Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Large language models are no longer side projects. Sales teams rely on them for emails, support teams for ticket summaries, legal for first-draft reviews, and product teams for search and personalization. That ubiquity changes the risk math. Sensitive information flows through prompts, fine-tuning sets, retrieval indexes, analytics stores, and vendor logs. Regulators now expect the same discipline for LLM pipelines that they expect for core systems handling customer data.

The way we build software has fundamentally changed. AI code assistants are no longer a novelty; they are the new standard, creating a revolutionary leap in developer productivity. Back in May, we launched Snyk Studio with a focus on our partners, creating an open framework to build a vibrant ecosystem for securing AI-driven development. Our goal was to ensure that as the AI landscape evolved, Snyk’s market-leading security intelligence could be embedded into any AI-native tool.

Managing security shouldn’t mean juggling a dozen tools, agents, and spreadsheets. WatchGuard is cutting through the noise with two major updates designed to give managed service providers (MSPs) the simplicity and control they’ve been asking for: expanded PSA integrations and the new WatchGuard Agent.

OpenAI’s AgentKit has democratized AI agent development in a big way. Tools like Agent Builder, ChatKit, and the Connector Registry make it possible for teams to spin up autonomous agents without writing custom code. That kind of accessibility changes everything, including the AI agent security threat model. The easier it becomes to build agents, the harder it gets to secure them.

We are excited to announce the launch of CyberArk’s new solution for securing AI agents, which will be generally available at the end of December 2025. CyberArk Secure AI Agents will extend CyberArk’s Identity Security Platform (ISP), which is a leading solution for securing human and machine identities.

When it comes to managing cloud application usage in an organization, the challenges are anything but simple. On one side, users are constantly exposed to malicious links and risky apps. On the other, locking things down too tightly by broadly blocking access to services can cripple employee productivity. Ideally, you'd want a balance between security and productivity.

Key Takeaways Cloud misconfiguration is the silent epidemic destroying enterprise security. While organizations accelerate cloud adoption across cloud environments, Gartner analysis shows that through 2025, 99% of cloud security failures have been the customer’s fault, primarily due to misconfigurations. For decision-makers, this represents a critical business risk that demands immediate strategic attention.