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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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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AI SOC Automation with Explainable Results | Securonix Agentic Mesh

Mar 5, 2026 By Securonix In Securonix
Securonix Agentic Mesh introduces productivity-based AI for the SOC. Meet SAM, the AI SOC Analyst built into the Unified Defense SIEM. Security operations teams are under more pressure than ever. Alert volumes continue to rise. Data is fragmented across hybrid and multi-cloud environments. Compliance demands are increasing. At the same time, adversaries are using AI to move faster and with greater precision.
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armo

Runtime Observability for AI Agents: See What Your AI Actually Does

Mar 5, 2026 By Shauli Rozen In ARMO
Last Tuesday, a platform security engineer at a mid-size fintech company ran a routine audit on their production Kubernetes clusters. The audit surfaced three LangChain-based agents, two vLLM inference servers, and a Model Context Protocol (MCP) tool runtime. None had been reported by the development teams. None appeared in any security inventory. All had been running for weeks. One of the agents had been making outbound API calls to a third-party data enrichment service every four minutes.
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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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