Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Autonomous AI Agents Explained: Risks, Capabilities & Security Gaps

Autonomous AI agents are no longer experimental—they’re writing code, executing commands, and making decisions in real time. But as AI coding agents become more powerful, they’re also introducing a new and often invisible attack surface. In this video, we break down: AI agents can install packages, run scripts, and modify systems instantly—often without traditional visibility. That means security teams need to rethink how they monitor and protect their environments.

This Project Glasswing Announcement is Bigger Than You Think

Anthropic's Project Glasswing and Mythos Preview model represent a seismic shift in cybersecurity. This AI is specifically tuned for vulnerability discovery, code review and security hardening at unprecedented speed. In this episode of Razorwire Raw, Jim Rees breaks down what Project Glasswing actually means for information security professionals and the concerns nobody's talking about yet.

Explainable AI in Email Security: From Black Box to Clarity

Generative AI and sophisticated social engineering have reshaped the cybersecurity landscape in 2026. Traditional "castle-and-moat" defenses centered on the Secure Email Gateway (SEG) are increasingly pressured by machine-scale attacks designed to bypass static filters. As organizations shift toward Integrated Cloud Email Security (ICES) models, a new technical and psychological barrier appears: the "black box" problem of defensive AI.

Why API Discovery Is the First Step to Securing AI

AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked. That’s your real exposure. Shadow API discovery gives you visibility into those hidden endpoints, so you can find them before attackers do. If you don’t know which APIs your AI relies on, you can’t secure the system.

Stopping AI Agent Attacks: How Falcon AIDR Blocks Prompt Injection

See how attackers can exploit AI agents like OpenClaw using hidden prompt injection techniques—and how CrowdStrike Falcon AIDR stops them in real time. In this demo, we show how a seemingly harmless resume contains invisible malicious instructions that trick an AI agent into leaking sensitive data, including API tokens and system access. Then, we replay the same scenario with Falcon AIDR enabled, where the attack is detected and blocked before any damage is done.

Claude Mythos Explained: AI Finding Zero-Day Vulnerabilities and Chaining Exploits

Claude Mythos is an AI model capable of finding and chaining zero-day vulnerabilities at scale. That changes how attacks happen, especially in environments where you can’t patch fast enough. The Forescout 4D Platform with VistaroAI helps organizations respond with real-time visibility and dynamic control across all connected devices.

Exposed LLM Infrastructure: How Attackers Find and Exploit Misconfigured AI Deployments

Someone is scanning your LLM infrastructure right now. They are not waiting for you to finish your security review. Between October 2025 and January 2026, GreyNoise’s honeypot infrastructure captured 91,403 attack sessions targeting exposed LLM endpoints. These were two distinct campaigns systematically mapping the expanding attack surface of misconfigured AI deployments. Your team is moving fast on AI. LLM servers are going live, inference APIs are being connected, MCP endpoints are being spun up.

7 Practical Ways to Shrink Your Digital Footprint in 2026

The average internet user now leaks more personal data in a single day of routine browsing than most people disclosed in a decade two generations ago. Ad networks track page views, data brokers aggregate public records into sellable dossiers, and AI systems ingest everything from social posts to leaked databases to build inferred profiles of individuals. Privacy Rights Clearinghouse has catalogued more than 750 data brokers operating in the United States alone, and industry analysts estimate the broader data-broker economy will grow past half a trillion dollars by the end of the decade.

Stop Guessing AI Security: A Maturity Reality Check

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

AI Agents Are Already Running the Enterprise. Security Hasn't Caught Up.

For years, conversations about AI security risks were framed as forward-looking. Organizations were told to prepare for a future where autonomous agents would act on their behalf, access sensitive systems, and make consequential decisions without human intervention at every step. That future, it turns out, is now.