Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Session Tokens Are the Real Target

For most of the past decade, security advice on credential attacks reduced to a single instruction. Turn on multi-factor authentication. That instruction was correct and it worked, which is precisely why attackers stopped attacking the thing it protects. The current generation of credential campaigns does not try to defeat MFA. It waits for the victim to complete it, then steals what the authentication produced. The password was never the prize. The session was.
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AEBA: Why Behavioural Analytics Has to Expand Beyond Humans

For years, security teams have built behavioural models around people. We learned that valid credentials only tell so much. A user can have legitimate access to a system and still behave in a way that deserves attention, which is why User and Entity Behaviour Analytics (UEBA) became such an important part of modern security operations today - intersecting data from multiple sources over extended periods of time to build a story indicating risk has become an essential tool to identify malicious actors, both insiders and outsiders.

Agent Sprawl is the New Shadow IT

As you’re reading this, it’s possible an agent you’ve never heard of is reading your files. But where did it come from? What systems can it access? And who’s responsible for its oversight? Today, employees are using AI and agents to expand what they can accomplish and how work gets done. And the barriers to innovation have never been lower — with natural language and no-code tools, anyone in your organization can build a new agent in the span of an afternoon.

The Linux AI blind spot: 7 exfiltration points your DLP can't see

Shadow AI now contributes to one in five data breaches, and Linux endpoints, where most developers work, largely lack DLP enforcement. That means engineers can upload code to AI tools, copy files to USB or Bluetooth devices, sync data to personal cloud storage, and move files through network shares undetected. HIPAA, PCI DSS, GDPR, and CMMC hold organizations accountable regardless of this coverage gap. Netwrix Endpoint Protector extends content-aware inspection and device control to Linux.

Sumo Logic MCP server: bringing SIEM and log data into Claude and other AI clients

More security and operations work now happens inside an AI client instead of a dedicated console. That shift creates a gap for any platform that isn’t part of the conversation. Every time an analyst needs to triage an insight or check a log, they have to leave the AI client and go open a different tool. Sumo Logic closes that gap with a Model Context Protocol (MCP) server.

Run LimaCharlie AI Sessions on the model you choose

Co-founder and COO AI Sessions in the LimaCharlie web application now run on OpenAI, Google Gemini, and OpenRouter models in addition to Claude. Connect your own credentials, pick a provider per session profile, and the session behaves the same way regardless of which model is doing the work. Sessions run on Claude by default. Beyond that, you can connect any of the following with your own credentials.

From Triage to Full Coverage: The Shift AI Agent Security Took in August

Security teams evaluating an AI agent security platform tend to ask the same question after the first demo: will this keep up? Agentic AI changes shape every few weeks, with new frameworks, new coding agents, and new ways for an agent to reach a tool or a credential. A platform that covers today's stack and stalls on next quarter's isn't much of a bet.

When One AI Model Fails Many Companies at Once

Cyber insurance works because losses across a book are mostly independent. One insured suffering ransomware tells you little about the next, so a portfolio of many policies is more predictable than any single one. ‍ Shared AI dependencies break that assumption in a specific way. Where a large share of a book depends on the same foundation model or the same inference infrastructure, a single failure produces simultaneous claims across insureds with no commercial relationship to each other.

When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts

A modern storefront can look perfectly healthy while malicious JavaScript works underneath: siphoning affiliate revenue, hijacking searches and clicks, tampering with analytics, or asking a remote server what to execute next. Pages load, products appear, and checkout works — yet the browser may be quietly doing something the site owner never authorized. That is the blind spot our Client-Side Security machine learning (ML) model is built to expose.