Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Claude Code builds security infrastructure with Git-based configs #cybersecurity #ai #secops

See Claude Code provision a new LimaCharlie security tenant with regional data residency, enable detection extensions, generate API credentials, create SSH keys, and establish Git as the single source of truth. Security teams can manage their entire LimaCharlie detection infrastructure through version-controlled code rather than point-and-click interfaces.

Giving OpenClaw The Keys to Your Kingdom? Read This First

In security, we never assume perfection. We assume zero-trust, and we design controls to limit the blast radius. That mindset is missing from many OpenClaw deployments today. It is almost impossible not to hear about the new personal AI assistant, OpenClaw (formerly known as ClawdBot and MoltBot). Since its release in November 2025, it has taken the tech world by storm, rapidly accumulating well over 100,000 stars, tens of thousands of forks, and millions of visitors.

Secure AI with CrowdStrike: Real-World Stories of Protecting AI Workloads and Data

AI is reshaping business at machine speed. From automating claims to improving customer engagement, organizations are embedding AI into core workflows faster than most security teams can track. As AI systems expand, they introduce a new class of security considerations. AI no longer lives in a single layer of the stack. It runs on cloud infrastructure, processes sensitive data, and operates through a growing network of human and non-human identities.

Snyk Advisor is Reshaping Package Intelligence on Snyk Security Database

Choosing safe, healthy open source dependencies shouldn’t require jumping between tools or piecing together context from multiple places. Developers and AppSec teams need package health signals exactly where security decisions already happen. This is why we’re bringing Snyk Advisor data into security.snyk.io.

When Software Starts Making Decisions Without You

Picture waking up to find that software has already handled your most tedious work tasks while you slept. It responded to routine emails, scheduled meetings based on everyone's availability, compiled the weekly report, and flagged three issues that need your personal attention. This isn't a fantasy from a tech enthusiast's wishlist. Autonomous AI agents are already performing these functions for thousands of businesses, making decisions and taking actions with minimal human oversight.

Agentic AI in Software Development: When Software Starts Making Decisions

I've watched software development evolve in waves. First, we automated builds. Then testing. Then deployments. Each step shaved off effort, but the core thinking-the planning, the decision-making, the trade-offs-stayed human. Agentic AI feels different. Not louder. Not flashier. Just... deeper. This is the first time many teams are seriously experimenting with systems that don't just help developers, but act on intent. Systems that decide what to do next, execute it, and learn from the outcome. And once you see it working in the wild, it's hard to unsee where this is going.

When Your AI Can't Be Trusted Anymore | IdentityShield '26

What if your ML system is running perfectly—but making the wrong decisions? This talk explores Ransomware 3.0, where attackers poison models and pipelines instead of locking systems, and shows how AI‑augmented attacks bypass traditional security and how to defend against silent ML compromise. Speaker: Avinish Thakur Software Engineer, miniOrange Pune, India.

How Agentic Tool Chain Attacks Threaten AI Agent Security

AI agents are rapidly transforming enterprise operations. Unlike traditional software that follows fixed code paths, AI agents interpret prompts, form plans, select tools, and react to results in a continuous loop. At the heart of this capability is the agent's ability to actively select and execute capabilities based on natural language descriptions, schemas, and examples.

Security advisory for AI-assisted browsing interactions with the 1Password browser extension

This advisory describes an ecosystem-level risk that emerges when AI agents are able to autonomously read and act on untrusted content while operating with user-level permissions in a web browser.

Agentic AI and NonHuman Identities Demand a Paradigm Shift In Security: Lessons from NHIcon 2026

In the race to innovate, software has repeatedly reinvented how we define identity, trust, and access. In the 1990's, the web made every server a perimeter. In the 2010's, the cloud made every identity a workload. Here in 2026, agentic AI makes every action autonomous.