Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Secure MCP Servers | A Walkthrough

While the hype continues to build around MCP, or model context protocol, a growing number of engineers and organizations are becoming concerned about the potential security risks that MCP invites. In this video, I'll give a demo of how Teleport provides secure access to your MCP servers and how the new Teleport Secure MCP integration gives you a robust solution for protecting your LLM endpoints and data sources.

Do we need an AI compliance framework?

Compliance isn’t just a checkbox. It’s the frontline of cybersecurity defense. In this episode of the Cybersecurity Defenders podcast, Joshua Hoffman, Chief Revenue Officer at ControlCase, shares critical insights on the evolving role of compliance in cybersecurity. From frameworks like CMMC and SOC 2 to the rising pressure from new SEC regulations, we examine how organizations can move beyond surface-level audits and adopt a scalable security posture.

Poison everywhere: No output from your MCP server is safe

The Model Context Protocol (MCP) is an open standard and open-source project from Anthropic that makes it quick and easy for developers to add real-world functionality — like sending emails or querying APIs — directly into large language models (LLMs). Instead of just generating text, LLMs can now interact with tools and services in a seamless, developer-friendly way.

Verifying Bots and Agents with Cryptography in the Age of AI

In this episode, host João Tomé is joined in Cloudflare’s Lisbon office by our Senior Research Engineer Thibault Meunier to explore a new proposal that could reshape how bots interact with the web in the age of AI. Timestamps: We go into Cloudflare’s proposal of using cryptographic signatures for bots, enabling websites to verify their identity. Why is this important? As AI systems rely increasingly on online content, this standard could help build a better relationship between content creators and AI platforms.

AI - More Than a Buzzword?

Lately, the common theme in emerging identity security technology has been… well, you know. AI. It’s all anyone wants to talk about. All of us in the IAM business have been scurrying to find a way to tell our customers and the market that, yes! we have AI! we've had it all along! If that were so obviously true, then why are we having to tell you about it now? As an identity security technologist, I’ve experienced the growing pains of AI in IAM.

Charlotte AI - Agentic Workflows - Impossible Time Travel

Logins from New York and Singapore—two minutes apart? That’s not time travel, that’s trouble. CrowdStrike’s Charlotte AI spots these impossible login anomalies instantly. By correlating RDP activity, calculating travel speeds, and taking risk-based action, Charlotte AI Agentic Workflows deliver real-time response to your SOC. No dashboards. No log diving. Just lightning-fast threat detection and action.

New in Breach Risk: Threat Monitoring Powered by an AI Analyst #cybersecurity #tprm #ai #security

Peter, Senior Product Marketing Manager at UpGuard, shares how our new Threat Monitoring feature helps security teams detect and triage real threats across the open, deep, and dark web—faster and with more clarity. Now in early access. Talk to your UpGuard rep to get started.

Welcome-to-The New Era of AI-Driven Development

Artificial intelligence is no longer a future consideration. It’s here — and it’s changing how software is built. Fast. Enterprise teams are moving beyond AI pilots and proof-of-concepts. They’re rolling out real-world, high-value use cases and doing it at scale. According to IDC forecasting, AI spend will more than double by 2028. At the center of that surge is AI-assisted software development.

AI Is Reshaping Software. Is Your Security Strategy Keeping Up?

Software development is undergoing its biggest shift since the rise of cloud and DevOps. The difference this time? The shift is being driven by artificial intelligence, and it’s moving fast. AI-powered coding tools have rapidly made their way into developer workflows. Agents and LLMs are helping teams move faster, automate more, and build in entirely new ways. But speed often comes with tradeoffs.