Trustity – Secure endpoints with visual DLP, browser DLP, PAM, and host IPS
Trustity unifies endpoint and cloud security in one portal and agent. The TAO agent enforces policies on devices and browsers, powering VisionX visual DLP to detect cameras aimed at screens, GenGuard to block sensitive pastes into GenAI and shadow IT, Vault & PAM for zero-kno
In plain words
Trustity is a unified endpoint and cloud security platform that protects devices and browsers through a single portal and agent. It uses visual DLP technology to detect cameras aimed at screens, blocks sensitive data from being pasted into generative AI applications, and identifies shadow IT usage. The platform includes privileged access management and host intrusion prevention, enforcing security policies across endpoints while maintaining zero-knowledge architecture.
written from the facts on this page · September 2026
From the sources
Unified camera DLP, browser DLP, vault/PAM, and host IPS - managed in the Trustity Cloud Portal and enforced by the TAO agent.
VisionX, GenGuard, Vault/PAM, HostGuard IPS, and Trustity Axiom - endpoint controls and edge security across the Trustity portfolio. Policy lives in the Cloud Portal. Enforcement happens on the endpoint and in the browser. VisionX detection, PAM rotation, HostGuard IPS, browser DLP hooks, and asset inventory - one runtime. Browser DLP intercepts sensitive pastes into GenAI and unsanctioned SaaS before data leaves the session. Zero-knowledge secrets, credential rotation, and a single operational console for policy and alerts. On-device detection for phones, cameras, and lenses aimed at sensitive screens - evidence and lock when policy requires it. Visual DLP, browser DLP, privileged access,…from trustity.co
Does the same job
all alternatives →


AccuKnox [Gen-AI CNAPP Security]Dec 2025 · ▲27Secure At Scale, Inside All Stacks, All Apps, Anywhere.
Trust SentinelJun 2026 · github.com · ▲2Silent TPM guardian for your PC. Zero cloud, AI or telemetry
Semantic DLP: Zero Trust AI EngineApr 2026 · ▲1Eradicate Shadow AI with zero-trust semantic governance.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com