Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Designing the Future of Agentic AI: Cato Engineering Details a New Practical, Secure, and Scalable MCP Server Framework

Some of you may remember the early days of security, when setting up a firewall or antivirus felt like enough. It was simple and gave us a sense of control. But over time, we learned that security is a moving target. What once felt sufficient quickly became just the starting point. In today’s agentic AI era, many treat their Model Context Protocol (MCP) setups the same way. If it’s running and returning results, it feels good enough. But the AI landscape is evolving rapidly.

From Ideas to Impact: How the Bay Area Is Shaping the Future of Secure AI

Generative AI is reshaping how software is made, secured, and scaled. At Snyk’s Lighthouse event in Silicon Valley, leaders from engineering, security, and platform teams gathered to explore one big question: How do we build AI-powered systems that move fast, without breaking trust? For many, that future is already here — 60% of organizations at the Summit reported building agentic apps internally. The answers weren’t just technical. They were cultural. Organizational. Strategic.

CrowdStrike Launches New AI Security Services to Strengthen AI Security and SOC Readiness

AI is transforming business processes and the threat landscape. CrowdStrike is expanding our AI Security Services portfolio to help organizations meet the dual challenges of securing their AI systems and effectively integrating AI into security operations.

AI Is Not the Destination-It's the Catalyst: Inside Bitsight's Vision for Third-Party Risk Management

A new era in third-party cyber risk and exposure management is underway, one that operates in real time, informed by intelligence and scaled by automation. This shift wasn’t feasible even a few years ago. The scale, speed, and complexity of today’s threat landscape—spanning thousands of vendors, assets, and attack vectors—demand more than human capacity can manage. Artificial Intelligence is the catalyst making this new model possible.

From Clipboard to Cloud: Upgrading Dental Reception Security with AI

Dental reception areas have come a long way. Not too long ago, check-ins involved clipboards, paper forms, and the occasional misplaced file. It was all a bit clunky. While it got the job done, it wasn't exactly secure, and it definitely wasn't efficient. Now, clinics are realising that the front desk is more than just a place to schedule appointments. It's also where patient data starts its journey, which means it has to be secure from the very beginning. That's where artificial intelligence comes in, offering smarter, safer ways to handle sensitive information.

Beyond LLMs: The Strategic Need for MCP Security

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.