Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Large language models (LLMs) are transforming enterprise operations, but their growing use introduces a critical security challenge: securing how they access sensitive data and integrate with existing tools. This is where Model Context Protocol (MCP) servers become a vital, yet often overlooked, part of AI security. These servers act as the crucial link, enabling LLMs to securely connect with diverse data sources and tools, significantly expanding attack surfaces that demand our immediate attention.

Any organization that’s undergone a security transformation knows the promise of zero trust network access (ZTNA): secure, least-privilege access to private applications, anywhere, on any device. But turning that promise into operational reality is often far from simple. Between fragmented tools, complex configurations, and sprawling environments, implementing ZTNA can quickly become a manual, time-consuming, and error-prone process.

AI is no longer a futuristic concept – It has now become the core of how modern businesses are operating. Starting from chatbots to analytics, generative content to automation, AI is across every sector of business. As AI usage increases, the risks and regulation are also increasing.

Read key insights from GitGuardian SecDays Virtual 2025 on securing the future of autonomous AI agents.

At Snyk, we believe you should never have to choose between speed and security. As the age of AI transforms software development, our goal is to extend our developer-first security approach to this new era, providing the essential tools your teams need to build with confidence. Today at Black Hat, we are delivering on that vision with three tangible innovations that offer a comprehensive solution to secure the entire code lifecycle with AI.

The AI battleground is here. Adversaries are weaponizing AI to launch attacks with unprecedented scale, speed, and effectiveness. In response, defenders are turning to AI as an analyst force-multiplier, using it to offload repetitive tasks, accelerate decision-making, and scale expertise across the SOC.

Today’s enterprising adversaries are weaponizing AI to scale operations, accelerate attacks, and target the autonomous AI agents quickly transforming modern businesses. The CrowdStrike 2025 Threat Hunting Report details this new chapter in the threat landscape. This year’s report, based on frontline intelligence from CrowdStrike’s elite threat hunters and intelligence analysts, examines how threat actors are using AI to do more with less.