Security●●●Banger
MVAR – Deterministic sink enforcement for AI agent
IFC + capabilities block prompt injection at execution sinks, not input filters—40yr research applied.
Big BrainWizardry
ShawnC21
113mo ago
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GitHub Repository
Secure every action your AI agents take (Claude Code, Codex, MCP). Blocks secret access, gates risky commands, and enforces allow/deny/approval before actions run.
6 starsGo
Solution for Prompt Injection of AI Agents
by prudhvinomos·Mar 27, 2026·3 points·0 comments
AI Analysis
●●SolidBig BrainBold Bet
Execution firewall for AI agents before prompt injection causes real damage.
Strengths
- •Agent-agnostic and model-agnostic design works across MCP and HTTP integrations
- •Deterministic policy decisions with manual approval routing for sensitive actions
- •Audit evidence and output redaction provide compliance trail for governed actions
Weaknesses
- •Only 2 stars—very early stage with unproven real-world adoption
- •AI agent security is emerging space; standards and best practices still forming
Category
Target Audience
Teams deploying AI agents with access to real systems
Similar To
Lakera Guard · Protect AI · HiddenLayer
Post Description
If you do not govern agent actions your safety boundary is at risk. Prompt injection, tool misuse, and over-broad credentials turn into real side effects fast. Nomos applies zero-trust controls at the moment an agent tries to do something real. It does not restrict the model's reasoning. It controls what the agent is actually allowed to do.
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