Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Find user activity across endpoints with Claude Code #cybersecurity #ai #securityoperations

Feb 10, 2026 By LimaCharlie In LimaCharlie
Watch Claude Code query LimaCharlie telemetry to locate user activity across all endpoints in an organization. The agent correlates events across process execution, login sessions, and network connections to identify the most recent user activity and establish behavioral patterns. Security analysts can investigate user presence without manually searching through telemetry streams.
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PHISHING GOT 10X FASTER WITH AI #apisecurity #phishing #aisecurity #DevSecOps #applicationsecurity

Feb 10, 2026 By Wallarm In Wallarm
PHISHING GOT 10X FASTER Phishing attacks sped up 10x thanks to AI what took weeks is now compressed to hours. Vulnerabilities are discovered continuously and scaled instantly Attacks became adaptive and contextual for 2025 cybersecurity In this short clip from our webinar, we break down why this is the new reality.
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CrowdStrike

Inside the Human-AI Feedback Loop Powering CrowdStrike's Agentic Security

Feb 10, 2026 By Chris Bowie - Grace Ural - Lucia Stanham In CrowdStrike
Adversaries are continuously evolving their tactics, techniques, and procedures to evade both legacy and AI-native defenses, and they’re using AI to their advantage. Stopping them requires a new approach: humans and AI working together. While AI can correlate massive volumes of telemetry at machine speed, pattern recognition alone is not enough to stop modern attacks. Training on detections teaches models what happened, but not why it mattered.
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How to Improve Cyber Security and Phishing Protection with a Fractional Executive

How to Improve Cyber Security and Phishing Protection with a Fractional Executive

Feb 10, 2026 By SecuritySenses In SecuritySenses
Many organisations today turn to fractional executives - such as a fractional CEO or fractional CFO - to gain fast access to reliable external expertise that improves operations without committing to a full-time hire. Similar solutions exist for specialised cyber security leadership: a fractional CISO can provide strategic oversight, governance, and risk-based decision-making on a flexible basis. For organisations facing ever-more sophisticated threats and limited internal resources, engaging an expert on a fractional basiscan mean the difference between reactive firefighting and proactive cyber resilience.
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AI Security in 2026 Starts With Identity #cybersecurity #datasecurity #identitysecurity

Feb 9, 2026 By Netwrix In Netwrix
As AI adoption grows, identity risk grows with it. Dirk Schrader, VP of Security Research at Netwrix, explains why governing human and machine identities is foundational to securing AI systems. How are you governing identity in your AI workflows today?
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I Built a Production-Ready App in 20 Minutes with Claude Opus 4.6

Feb 9, 2026 By Snyk In Snyk
My boss dropped a bombshell at 4:00 PM: build a secure, production-ready app from scratch by tomorrow morning. Instead of panicking, I put Claude Opus 4.6 to the test. In this video, I walk you through the entire end-to-end process of using an AI agent to architect, code, and debug a full-stack application. We’ll look at "Plan Mode," how the AI handles environment errors (like Windows SQLite issues), and most importantly, how we verified the AI's code for security vulnerabilities using Snyk.
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netacea

The 2026 Forecast for AI-Driven Threats

Feb 9, 2026 By Netacea In Netacea
2025 changed the shape of digital risk. In 2026, the impact accelerates. The fastest-growing threats no longer look like traditional attacks. They arrive through apparently legitimate automated access – AI agents, LLM crawlers, and delegated automation interacting directly with revenue-critical systems. They don’t trigger alarms. They quietly extract value, distort pricing logic, and reshape digital economics at scale.
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aikido

International AI Safety Report 2026: What It Means for Autonomous AI Systems

Feb 9, 2026 By Dania Durnas In Aikido
The International AI Safety Report 2026 is one of the most comprehensive overviews to date of the risks posed by general-purpose AI systems. It’s compiled by over 100 independent experts from more than 30 countries, and shows that while AI systems are performing at levels that seemed like science fiction only a few years ago, the risks of misuse, malfunction, and systematic and cross-border harms are clear. It makes a compelling case for better evaluation, transparency, and guardrails.
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