Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

armo

What Is AI Agent Sandboxing? Kubernetes-Native Enforcement Explained

Mar 6, 2026 By Shauli Rozen In ARMO
You’re in a Slack thread at 9 AM on a Tuesday. A developer is asking why their LangChain agent can’t reach an external API anymore. You wrote the NetworkPolicy that blocked it. But you also can’t explain why you wrote that specific rule—because you wrote it based on what you guessed the agent would do, not what it actually does. You don’t have behavioral data. You don’t have an observation period.
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Access Your OpenClaw Web UI from Anywhere with Teleport

Mar 6, 2026 By Teleport In Teleport
OpenClaw’s web UI gives you full control over your personal AI agent, but exposing it publicly creates significant risk. In this video, I show how to securely access the OpenClaw web interface from anywhere using Teleport, without opening inbound ports or relying on public instances. You’ll see how to put the OpenClaw UI behind identity-based access, approve devices, and keep full admin control while staying locked down.
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protecto

Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?

Mar 6, 2026 By Protecto In Protecto
If you’re building AI applications that touch sensitive data, tokenization isn’t optional. It’s the layer that decides whether your pipeline leaks PHI, PII, or financial data to your LLM, or keeps it protected. But here’s where most teams stop thinking: not all tokenization is the same. Two approaches you’ll encounter most often are entropy-based tokenization and polymorphic tokenization. They sound similar. They serve completely different purposes.
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protecto

What is Data Masking

Mar 6, 2026 By Ashish Kamathi In Protecto
AI adoption is growing fast. But so are data risks. From Samsung’s internal code leak via ChatGPT to chatbot failures at global brands, recent incidents show one thing clearly: sensitive data can escape in unexpected ways. Most breaches today are not traditional hacks. They happen through AI tools, prompts, and automation workflows. This is why understanding what data masking is is critical. It helps organizations protect sensitive information without slowing innovation or breaking AI accuracy.
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exabeam

AI Access Without Add-Ons or Limits

Mar 6, 2026 By Exabeam In Exabeam
Artificial intelligence (AI) within security operations has shifted from basic summarization to fully agentic systems that participate in threat detection, investigation, and response (TDIR). As these capabilities evolve, many vendors restrict access through add-ons, credits, or gated previews. The result is predictable: Analysts use AI less, trust it less, and see less value from it. Agentic AI capabilities should be available the moment analysts need it, not controlled through tiers or metering.
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AI Usage Monitoring: Gaining Full Visibility Into GenAI Activity

AI Usage Monitoring: Gaining Full Visibility Into GenAI Activity

Mar 6, 2026 By SecuritySenses In SecuritySenses
Generative AI tools have entered the workplace through every possible channel. Employees use them to draft emails, summarize documents, and write code. This organic adoption creates a visibility gap for security and IT leaders. They must protect corporate data without blocking innovation. With these challenges in mind, this article explains how organizations can track GenAI use. To move from identifying risks to enabling secure adoption, it highlights practical steps to protect data while enabling productivity.
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armo

What to Look for in an AI Workload Security Tool: The Complete Buyer's Guide

Mar 5, 2026 By Ben Hirschberg In ARMO
You’re evaluating AI workload security tools and every demo looks the same. Vendor A shows you an AI-SPM dashboard. Vendor B shows you a nearly identical AI-SPM dashboard with slightly different branding. Vendor C shows you posture findings with an “AI workload” tag that wasn’t there last quarter.
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nightfall

100 SaaS Apps. One Query. Zero Alerts: How Glean and Claude Cowork Expose the Agentic AI Data Risk

Mar 5, 2026 By Chris Martinez In Nightfall
A sales rep opened Glean—an AI-powered enterprise search platform that connects to your company's SaaS apps and lets anyone query across all of them in natural language—typed "Who are my top 10 customers?" and got a clean, formatted list pulled from Salesforce, cross-referenced with HubSpot, and confirmed against data sitting in Google Drive. They copy-pasted that list into a personal Gmail draft. No alerts fired. No policies triggered. No one noticed. This isn't a hypothetical.
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indusface

Discover Exposed AI Infrastructure with Indusface WAS

Mar 5, 2026 By Gaurav Chauhan In Indusface
You track your web applications. You inventory your APIs. But is anybody monitoring your AI servers? Just last week research found that there were more than 175,000 exposed versions of Ollama, an AI server popular for self-hosting LLMs. Across enterprises, self-hosted model servers are being deployed on cloud VMs and GPU-backed instances to power copilots, internal automation, and experimental AI features.
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