BoundaryAI
Stop AI agents before they act. Patent Pending.
BoundaryAI launched on May 6, 2026 with 1 votes.
What it does
Every major AI has been jailbroken. Claude, GPT-5, Copilot. Guardrails failed because they lived inside the model. BoundaryAI sits outside the AI. Deterministic rules block dangerous actions before execution — no AI in the enforcement path, can't be jailbroken. Three domains no competitor covers: digital agents, physical machines, data governance. 148 tests, zero bypasses. Sub-microsecond. Patent Pending.
AI proposes an action. BoundaryAI independently determines whether that action is authorized before execution. Deterministic decisions, model-agnostic enforcement, cryptographically verifiable evidence.
A $110M AI-bias settlement. The first Shadow-AI SEC 8-K. A coding agent wiping a prod database in 9 seconds. Every 2026 incident below happened at the action layer — the layer BoundaryAI governs. SEC 8-K in U.S. history filed solely for a Shadow-AI incident Coding agent found an over-scoped token, dropped the prod Postgres and every backup in 9 seconds. 30+ hours down. Employee pasted customer SSNs into an unsanctioned GenAI tool. Bank filed the first Item 1.05 8-K in U.S. history. Settlement over AI hiring & lending discrimination — plus a board-disclosure securities-fraud overlay. We block them the same way — at the action, before it executes, with a signed record. Deny destructive,…from boundaryai.ai
Does a similar job
all alternatives →
AI AdmissibilityApr 2026 · ai-admissibility.com · ▲3Built this around one simple idea: the workflow that wants to execute should not be the same place that decides whether execution may continue. This project puts an external allow/deny boundary before action. Public entry points: * live pilot * commercial request * private deployment There is also a GitHub Marketplace action install surface, but the main point is the boundary model itself: decision stays outside the workflow that is asking to proceed. Looking for feedback from people working on CI/CD, security controls, approval boundaries, and automated execution.
AI Coding Agent Guardrails enforced at runtimeApr 2026 · sigmashake.com · ▲5As a Security Engineer with over 10+ years in industry, I kept running into the same problem with coding agents: Instructions are not guarantees. I put guidance in `CLAUDE.md`, `AGENTS.md`, memory files, MCP descriptions, and tool documentation. I explicitly told the agent things like: - Use the code graph for architecture questions instead of grepping the repository. - Do not use deprecated APIs or Unsafe code. - Prefer specific tools for specific tasks. The agent would still ignore those instructions surprisingly often. It would grep the entire repo, use deprecated APIs, or choose a slower…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com