Alternatives to Spectrum Labs

ElevenAgents Guardrails adds real-time safety checks to voice agents — prompt-injection blocking, reply screening, and custom policy

agentsh enforces syscall-level policy for AI coding agents — file, network, and process control that holds no matter the prompt.

Mindgard is AI red teaming that reconnoiters, exploits, and retests vulnerabilities in production AI agents and models.

Real-time guardrails, evals and red teaming for text-based LLM agents, running on small language model judges.

AI governance platform that discovers shadow AI, tests models and agents, and enforces policy at runtime with Guardian Agents.

Traccia traces, costs, evaluates and enforces policy on AI agents — an AI agent control plane you point at agents you already run.

Runtime authorization for AI agents — allow, deny, redact, or hold every action before it executes

Aembit brokers short-lived, policy-scoped credentials for AI agents and MCP servers through an identity control plane.

Vibe-train small language models for real-time AI agent evals and guardrails at a fraction of LLM-as-judge cost.

Enterprise AI security platform that discovers agents and MCP servers, red-teams them, and enforces policy inline at the gateway.

WORLD3's RouterLink and TapClaw: one API for 114 models plus always-on AI agents on BNB Chain.

CTGT constrains any LLM to your written policy at inference time using deterministic policy graphs and an attestable audit trail.

Promptfoo brings automated LLM red teaming and AI security testing into your CI/CD pipeline

Norm Ai encodes legal rules into verifiable AI agents for compliance review, DDQs, and RFPs at regulated institutions.

Runtime security layer that inspects what goes into your AI agents and controls what comes out

Self-hosted AI agent governance with an access map, Cedar policy gates and a signed audit ledger for Claude Code, Codex and Gemini CLI

AgentSeal red-teams AI agents and audits MCP servers with 380+ adversarial attack probes from one CLI.

Arcade AI is the MCP authorization runtime that governs every action your AI agents take.

Pre-execution budget enforcement for AI agents — Cycles denies overspending and risky tool calls before they run.

Invariant Guardrails enforces contextual security policies on AI agent tool calls and MCP server connections before they run.

Agentic AI security and MCP discovery that maps what AI agents can actually reach — from prompt to API to data.

Kontext delivers runtime authorization for AI agents — allow-or-deny on every tool call before it executes.

Open-source credential broker and MITM proxy that keeps real API keys out of AI agents.

Unbound is an Agent Access Security Broker that governs what AI coding agents can run, reach, and touch.

Task-scoped authorization for AI agents: approve the purpose once, every tool call is verified against it

Pre-execution action authorization for AI agents — a deterministic, signed gate on every tool call before it runs.

Open-source tool that removes refusal behaviour from open-weight language models so they follow your instructions

Self-hosted, MIT-licensed control plane for running a fleet of AI agents from one dashboard

Abundant builds long-horizon RL environments, anti-cheat verifiers and datasets that train AI agents on multi-hour work.

Cinder turns your written trust and safety policies into agentic moderation and enforcement workflows, with every decision logged.