Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Six MCP Security Incidents Every Security Leader Should Know

In July 2025, an AI agent reviewed a support ticket, queried a production database, and leaked integration tokens directly to the attacker watching the thread. Months earlier, another AI followed "hidden instructions" in a public repository, exfiltrating private code into a visible pull request. In both cases, the AI wasn't broken; it simply obeyed the attacker instead of the developer.

Your AI Agents Are Already Acting. The Question Is Whether You Can See What They're Doing.

In conversations with CISOs about their agentic environments, the question I ask first is not whether they have agents deployed. Most do. It is not whether those agents are creating value. Most are. The question I ask is whether they have mapped their Agentic Security Graph. Almost none of them have. And that gap, between the agentic infrastructure that exists inside their organizations and the visibility they have into it, is where the most serious AI security risk in the enterprise lives right now.

Workshop: Analyzing Real Malware with Claude Code and LimaCharlie

In this hands-on workshop we will analyze an unknown binary, quickly extract indicators, and determine the binary’s core functionality. We'll give Claude the LCRE (LimaCharlie Reverse Engineering) tool to accelerate analysis and interpretation by identifying configuration details, key behaviors, and any additional indicators useful for rule building. We'll use this information to craft detection rules for this sample.

Does the rise of AI mean human-led SOCs are obsolete? With Dr. Adeel Shaikh Muhammad [322]

Dr. Adeel Shaikh Muhammad, a cybersecurity strategist and global speaker with over 16 years of experience across information security, networks, and systems. Adeel brings a practical perspective on how organizations can adapt to evolving cyber threats and the growing role of AI in cybersecurity.

Shadow IT vs Shadow AI: What's the Difference?

Imagine a customer service representative at your organization uploads sensitive customer data into an AI tool to draft emails more quickly. When an employee uses an AI tool without IT approval, it is known as shadow AI, and such scenarios are becoming increasingly common. Among employees who use AI at work, 78% report using tools that have not been formally approved by their organization, according to Microsoft’s 2024 Work Trend Index.

Falcon Shield: ChatGPT Enterprise Compliance API

Learn more about how CrowdStrike's has expanded its ChatGPT Enterprise integration to deliver deeper audit logging and continuous activity monitoring within CrowdStrike Falcon Shield SaaS security. This expansion enables monitoring of authentication activity, administrative changes, tool usage, Codex events, and conversation-level logs across ChatGPT Enterprise workspaces. Subscribe and stay updated!

By AI, With AI, For AI: Building IT services in the AI-first era

MSPs want to grow. Yet the cost of growth keeps eating the margin that extra growth was supposed to deliver. Traditionally, more customers means more endpoints, more tools, more alerts, more billing entities, more compliance frameworks. Headcount scales with the work, but margins don't seem to keep up. That problem has a new shape now. AI is changing how every IT environment is built, run and protected and the speed at which they are done.

Frontier AI and the Demise of Hardware Security

The cybersecurity industry has long relied on a simple idea: find vulnerabilities, patch them, and measure success by how fast you close the gap. “Time-to-patch” became a badge of honor. That model no longer holds. The rise of Mythos-class Frontier AI Models introduces a different kind of threat. AI-driven, agentic attacks operate continuously, discover weaknesses automatically, and execute at a scale no human team can match.

Falcon AIDR Detects Threats at the Prompt Layer in Kubernetes AI Applications

AI is introducing a new class of threats that don’t look like traditional attacks and can’t be detected with conventional tools. The AI applications that organizations deploy in the cloud interact with large language models (LLMs) through prompts and responses. This prompt layer has emerged as a new attack surface, where risks like prompt injection and sensitive data leakage can go unnoticed.

Session on How much of Mythos based attacks can you prevent using modern IDAM techniques?

In this session at ETCISO IDAM Summit 2026, our Founder & CEO Mr. Anirban Mukherji discussed Identity Access Management (IAM), data protection challenges, and AI governance for modern organizations. He covers SSO, MFA, legacy system hurdles, DBT data flows, Shadow AI risks, and practical steps like patch automation, least privilege access, and AI agent controls. Drawing from the Abhimanyu Chakravyuh metaphor, he explains how strong IAM contains breaches. Learn about vendor sovereignty, geopolitical risks, and miniOrange's expertise in IAM, AI security, and privacy.