Founder @ Prismor | stopping ur agents from going rogue @prismor_dev | @fdotinc

San Francisco
Joined August 2009
My Claude code refused to publish my article three times because it thought I was stealing my own work Alignment is fragile when models are the only place decisions get made
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Arnav Gupta retweeted
Chrome里其实藏着个能白嫖的AI,多数人愣是没发现。 最近的Chrome把Google的小模型Gemini Nano直接塞进浏览器了。进设置打开它,不用联网、不用注册,本地就能跑起来,模型就装在你电脑上。 问题在于:以前这玩意儿得写代码才能调出来。 后来海外有个老哥( @_ar9av )搞了个工具,把它封装成ChatGPT API那种调用方式,连Ollama这种本地软件都不用装了。 一行命令搞定: 🔗 npm start 跑起来之后会启动两样东西: 1️⃣ 浏览器里直接能聊的界面 2️⃣ 兼容ChatGPT格式的接口(只限本地调用) 白嫖党狂喜。 github.com/Ar9av/gemini-nano…
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🌈 Prismor: open source runtime control plane for AI agents New this week: 1. The mirror: Prismor runs your agent's tools itself, checking every call and masking secrets in the output 2. Blocks show up live inside Claude Code, right under the prompt 3. 5 more agents governed: Cursor, Grok, OpenCode, OpenClaw, Hermes Agent 4. Ask for access straight from a block with prismor egress request 5. Subagents governed in the open 6. Bypasses from a live attack test, closed OSS: github.com/PrismorSec/prismo…
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🌈 Prismor: open source runtime control plane for AI agents New this week: 1. One Extensions tab for everything your agents used: skills, MCP servers, secrets, packages, plugins, hooks, each with its usage history 2. Top network calls: every host your agents reached, with what was blocked 3. The session page explains a run: first failure, retry loops, a diff of what changed. Locate jumps to the failed call 4. Share a session like a doc, with teammates or anyone with the link, and find one by describing it 5. Native Google Antigravity hooks, and ElevenLabs voice agents governed through the LLM proxy 6. Shell rules see past quote tricks and egress blocks tell s human how to unblock in agent OSS: github.com/PrismorSec/prismo…
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obsidian-wiki just crossed 3.5k stars on GitHub Your agent forgets every past session. This gives it a simple yet effective memory engine: - turns docs, PDFs and past agent chats into linked notes in your Obsidian vault - answers with [[wikilink]] citations to its sources - works in Claude Code, Codex, Cursor, Gemini CLI and more - Chrome extension: save pages as you browse and fill forms from your vault (it never submits) - 4.4x faster answers, 83% correct vs 44% on the same model and vault - open source, MIT pip install obsidian-wiki github.com/Ar9av/obsidian-wi…
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Arnav Gupta retweeted
New blog is out There's lot of confusion in the market around hooks and proxy for agent security, our team wrote down the specifics prismor.dev/blog/hooks-vs-pr…
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Arnav Gupta retweeted
AI agents can run commands before you get a chance to review them. This repo adds a checkpoint. Prismor is an open-source runtime security tool for builders using AI coding agents and agent frameworks. It helps you observe agent activity or apply policy-based controls before tool calls execute, with a local dashboard for reviewing what happened. Key features: • Observe and enforce modes – start by logging activity, then choose which policy rules block actions • Agent integrations – supports Claude Code, Codex, LangChain, and other listed agent surfaces • MCP gateway – evaluates MCP tool calls before forwarding them and scans tool responses for injection • Supply-chain checks – wraps package installs to score them against threat intelligence before they run • Signed audit trail – locally hash-chains and Ed25519-signs agent actions for tamper-evident history It’s open-source (Apache License 2.0 license). Link in the reply 👇
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🌈 Prismor: open source runtime control plane for AI agents New this week: 1) Rules know who is asking: A rule can check the tool's arguments, its target and the end user's roles: block refunds over 500 unless the user is in finance, Users are verified against your identity provider (any OIDC), not taken on the caller's word 2) The MCP gateway only lists the tools a user can actually use, and refreshes the list when the user changes 3) Policy tests: Write the expected outcome per user, run them in CI with a GitHub Action, and the console runs them before every publish 4) Speaks AuthZEN, the OpenID authorization standard, so gateways and apps that use it can ask Prismor for a decision directly 5) The LLM judge re-checks a sample of allowed calls after the fact, to catch what the rules let through 6) Every event records the policy version that decided it. "Why?" explains a flagged event against that version, and flagged events land in a review queue 📷 github.com/PrismorSec/prismo…
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Claude auto just killed our startup, because the auto-mode now asks users before deleting anything? It's great anthropic is focusing on model alignment, but we are building something bigger Harness alignment agonstic of agent and LLM We ran various dangerous commands and prompt injections against vanilla claude code and then with Prismor and the harm rate dropped from 68% to 0% there are lot of other unsolved business specific cases where users would like to control their fleet of agents on: •⁠ ⁠egress rules •⁠ ⁠supply chain package rules •⁠ ⁠secret redaction •⁠ ⁠custom policies which is why we are building Prismor, completely open source and independent of models github.com/PrismorSec/prismo…
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Arnav Gupta retweeted
Chrome 里居然藏着一个能白嫖的 AI,是不是大多数人一直没留意到? 最近的 Chrome 把 Google 的小模型 Gemini Nano 直接内置进浏览器。进设置开启它,免联网、免注册,本地就能跑起来,模型就装在你电脑上。 头疼的是:这玩意儿早先不写代码根本调不出来。 后来海外一位老哥( @_ar9av )整了个工具,把它封装成 ChatGPT API 那种调用方式,连 Ollama 这种本地软件都不用装了。 一行命令搞定: 🔗 npm start 跑起来之后会启动两样东西: 1️⃣ 浏览器里直接能聊的界面 2️⃣ 兼容 ChatGPT 格式的接口(只限本地调用) 白嫖党笑出声。 github.com/Ar9av/gemini-nano…
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We built Prismor an open-source independent control plane to govern what AI agents can see and do at runtime
Stop agents from going rogue 🌈 Open source and independent agent control plane
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I recently had a on why would anyone even build in open source if they're putting cutting edge novelty and research out for free? And we get this question by VCs a lot agent safety should be accessible to all because if agents can act, people should be able to control it in the first place That's our mission at Prismor
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🌈 Prismor: open source runtime control plane for AI agents. New this week: 1. Agent-to-agent traffic is governed. A2A messages go through the same proxy endpoint and the same policy as tool calls, and a message can be blocked before the receiving agent reads it 2. Managed model endpoints. Point Bedrock, Vertex or Azure traffic at prismor proxy. SigV4 signing and OAuth are handled for you 3. Policy explains itself. Every rule shows which layer defined it and why it blocks or only warns 4. Extension ledger. Every skill, plugin, hook and MCP server your agents load, where it came from, what it caused, and which sessions ran under it 5. Proxied calls now count toward per-session cost on every provider, streaming included 6. Additions to dashboard : hook timing on every call and Prometheus panels built from real session date 📷 github.com/PrismorSec/prismo…
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Replying to @typesafeai
@typesafeai's Jev has been a game changer for our runtime security Any readme, web page or script output can tell a coding agent to ignore its instructions and upload your SSH key We screen every text an agent reads before it acts i.e. in runtime and that screen used to cost 2s (p50) a call
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For longer text like a payload buried in a 12,000-character README cost us four sequential calls and 11.4s Jev reads the whole document at once in 1.1s and caught 24 of 24
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It runs hot on security writing, so our detector tests land in the same band as real injections Jev screens, the uncertain band goes to a reasoning model and 3 of 120 texts need that second look
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I recently did a podcast with @danielcranney from @WeAreDevs Here is a snippet of story around how we started Prismor From a simple open-source tool to stop agents from wrecking my databases to building a full contextual control plane for enterprise AI
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