Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI SecOps Worskhop Series: Detection Engineering with LimaCharlie and Claude Code

This hands-on workshop is designed for security professionals interested in learning how to integrate advanced AI capabilities into their detection and response workflows. Attendees will receive practical, step-by-step instruction on leveraging the power of Claude Code, a sophisticated AI agent, to significantly enhance security operations within the LimaCharlie platform for detection engineering use cases.

The Adversary's Speed Just Changed - What Mythos Means for Your Security Posture

The cybersecurity threat landscape just changed — and most organizations don't know it yet. In this conversation, Tanium's Pedro (CRO) and Mark Liu (VP of Solution Engineering) break down what Anthropic's Mythos really is, why security leaders everywhere are asking about it, and what organizations need to do right now. No marketing pitch — just a straight conversation about a consequential shift that's already underway.

CrowdStrike Expands ChatGPT Enterprise Integration with Enhanced Audit Logging and Activity Monitoring

As organizations scale ChatGPT Enterprise across departments, AI is becoming embedded in everyday business operations. Finance teams are building custom GPTs. Developers are leveraging Codex to act on codebases. Employees are invoking third-party tools within AI conversations to automate workflows. As adoption accelerates, security teams face a fundamental challenge: visibility around agents deployed and running in SaaS environments.

How a Hacker Used Standard AI to Dismantle a Government

The real shock is not a restricted model with scary branding, it is what standard public AI tools already make possible. A prolonged attack against government systems, tax records and voter data shows the threat comes from scale and persistence, not only from the newest frontier release.

How bail bond scams are using AI to target families

Bail bond scams are getting smarter with AI. Here's how to spot them before they cost you thousands. A call saying someone you love has been arrested and needs money ASAP can feel so real that you act before you think. Learn how bail bond scams work and what to watch for to help protect you and your family from falling for the scheme. Getting a call about bail isn’t something most people prepare for, and that’s exactly what scammers count on.

If You're Worried About Mythos, Your Security is Broken #infosec #alert

This episode looks at what happens when AI starts finding vulnerabilities at scale, restricted access creates market imbalance, and security teams struggle to keep pace. It covers fragile infrastructure, bug brokers, overloaded analysts, CISO fear, and the growing sense that cyber defence is entering a faster and harsher era.

Behavior Intelligence: The New Model for Securing the Agentic Enterprise

Behavior Intelligence is a security operations model that detects risk by analyzing behavior, automates investigation and response using AI, and measures whether security outcomes are improving over time. It focuses on how users, systems, and AI agents operate rather than relying only on predefined rules or knowns indicators of compromise. This shift matters because modern attacks rarely look malicious at first. They look normal.

Most Critical Infrastructure is Held Together by Sticky Tape

The fear is not only what advanced AI can do, it is what it can do to brittle systems already running on neglect and compromise. When critical infrastructure is patched together with ageing controls and restricted tools land in a few powerful hands, the imbalance gets worse fast.

Runtime Observability for LangChain and AutoGPT on Kubernetes

A platform team at a mid-size SaaS company runs three LangChain agents and one AutoGPT-derived planner on EKS. LangSmith is wired in. OpenTelemetry traces flow into their observability stack. Falco runs on every node. The setup is what most security teams would consider thorough. A pip dependency in one of the agents’ tool packages ships a malicious update.

How to Prevent Prompt Injection

A prompt injection occurs when an attacker manipulates input to your AI system, overriding its instructions. To prevent prompt injection, you need a layered approach: separate system instructions from user input, validate user input before it reaches the model, monitor model outputs for anomalies, enforce least-privilege access for AI agents, and protect the data layer so sensitive information never reaches the model in a readable form. No single fix is enough.