Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Kling Video 2.6 API: How to Build Automated Visual Simulation Workflows

The landscape of generative media has shifted from simple prompt-based experimentation to sophisticated, integrated production pipelines. With the release of Kling 2.6, the focus has moved toward "Native Audio-Visual Generation"-a breakthrough that allows developers to synchronize high-fidelity visuals with context-aware sound in a single automated step. For platforms focusing on digital senses and technical security, the Kling Video 2.6 API offers a robust framework for building simulations that were previously too resource-intensive to automate.

Top Tools Used to Bypass Cloudflare for Web Scraping: A Security Perspective

Cloudflare protects more than 20% of all websites on the internet, according to W3Techs infrastructure data. Its layered security model combines IP reputation filtering, TLS fingerprinting, JavaScript challenges and behavioural analysis to block automated traffic before it reaches the origin server.

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.

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.

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.

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.

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.

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.

Are we blindly giving AI access to everything?

Users are connecting AI tools without understanding the security implications. In this week's Intel Chat, Chris Luft and Matt Bromiley discuss a security breach at Vercel that originated from a compromised third-party AI tool used by one of its employees. The attacker gained control of the employee's Google Workspace account, which provided access to Vercel's internal environment.

How multi-agent systems work in LimaCharlie

This video walks through how single agents and multi-agent systems are built and run inside the LimaCharlie platform. Agents in LimaCharlie are defined declaratively. Each agent specifies the model it runs, its instructions, the tools it can access, what events trigger it, and the guardrails it operates under. This approach makes agents version controllable, reviewable, and portable across tenants.