Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Economics of an Agentic SOC: How AI Reduces Security Operations Costs

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo This article was originally published on Security Info Watch. Running a SOC has never been cheap — but in 2026, it’s become unsustainable. The combination of surging alert volumes, rising labor costs, sprawling tool stacks, and skyrocketing breach expenses has pushed the traditional model to the breaking point.

Claude Code configures AWS S3 export for security detections #cybersecurity #ai

Claude Code automates the entire detection export pipeline from LimaCharlie to AWS S3. The agent confirms AWS access, creates buckets with proper regional placement, provisions IAM policies with appropriate permissions, stores credentials securely, and enables continuous delivery. Security data flows from LimaCharlie to S3 for retention and analysis without manual AWS configuration.

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.

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.

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.

Agentic Data Classification: A New Architecture for Modern Data Protection

In the evolving landscape of data protection and compliance, data classification is the bedrock of safe AI workflows. Yet legacy approaches rely on singular models that are fixed, rigid, and limited in context. Our agentic data classification approach reshapes this paradigm by not relying on any single model. Instead, we orchestrate a dynamic, intelligent layer that automatically selects the right model for the job.