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cyberark

AI agents are forcing a reckoning with identity and control

Feb 3, 2026 By Ariel Pisetzky In CyberArk
Most organizations never planned for AI to start making real decisions. They started with simple helpers. An agent answered basic questions or generated small automations so teams could avoid opening another IT ticket. It felt harmless. But as these agents become more capable and more autonomous, they begin operating across systems at machine speed. They connect tools, provision access, and trigger chained actions long after the original request.
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5 Essential AI Tools for Project Managers to Boost Productivity in 2026

5 Essential AI Tools for Project Managers to Boost Productivity in 2026

Feb 3, 2026 By SecuritySenses In SecuritySenses
It's 2026, and if you're still manually color-coding spreadsheets or manually typing meeting minutes, you're stuck in the past. We are no longer "task trackers", we're "strategic navigators". But with the release of GPT-5.2 and the deluge of AI agents, it's noisy. I've seen so many PMs download 20 different AI apps and they're all the same: "generating some generic text for you". If you really want to save time, you don't need more writing tools; you need a varied toolkit that takes care of the different parts of your brain: your scheduler, your communicator, your designer, your librarian.
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CrowdStrike

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

Feb 2, 2026 By Scott Wotring In CrowdStrike
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.
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Snyk

Snyk Advisor is Reshaping Package Intelligence on Snyk Security Database

Feb 2, 2026 By Noa Yaffe-Ermoza In Snyk
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.
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nightfall

The CISA ChatGPT Incident Makes the Case for AI-Native DLP

Feb 2, 2026 By Chris Martinez In Nightfall
The acting director of America's Cybersecurity and Infrastructure Security Agency—the person tasked with defending federal networks against nation-state adversaries—triggered multiple automated security warnings by uploading sensitive government documents to ChatGPT. If this happened at CISA, it can happen at your organization too.
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API-Based Zero Trust Assessment: Measuring Your Security Posture in Minutes

Feb 2, 2026 By Reach Security In Reach Security
Zero Trust (and probably many general posture) conversations stall at one question: Where are we actually today? Because Reach connects directly through APIs, teams can quickly assess their environment without deploying new agents or ripping anything out. That makes it practical to benchmark a Zero Trust program against the CISA Zero Trust Maturity Model — and see what’s real vs. assumed.
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Torq

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

Feb 2, 2026 By Leonid Belkind In Torq
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.
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Claude Code configures AWS S3 export for security detections #cybersecurity #ai

Feb 2, 2026 By LimaCharlie In LimaCharlie
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.
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Claude Code builds security infrastructure with Git-based configs #cybersecurity #ai #secops

Feb 2, 2026 By LimaCharlie In LimaCharlie
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.
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