steerplane.com's rivals

Provides guardrails and spend control for AI agents by monitoring calls, capping costs, and holding risky actions.

Provides an open-source reliability runtime with cost, loop, and time budgets for AI agents.

Provides runtime security for AI agents by blocking prompt injection, malware, credential theft, and runaway token spend before tool calls.

Checks AI agent actions against defined rules to allow, pause for review, or block them.

Monitors, authorizes, and prices tool and model calls made by coding agents.

Open-source runtime for governing production AI agents with rule enforcement, human oversight, and audit logs.

Provides a runtime boundary for AI agents to enforce access limits, inspect actions, and export signed evidence.

Self-hosted observability and control plane for AI agent fleets, streaming LLM calls, MCP events, and tool calls to per-agent timelines and live feeds with token budgets and access rules.

Enables control over autonomous AI model calls, tool invocations, and agent actions. Real-time policy enforcement with cryptographic evidence is provided.

Secures AI agents by mapping tool usage, minting capability tokens, and enforcing runtime policies.

Secures LLM agents against prompt injection by scanning for vulnerabilities and blocking unsafe tool calls.

Detects spiraling artificial intelligence agents through behavioral anomaly detection, agent replay, and cross-provider forensics.

Enables local, telemetry-free verification of AI agent actions against machine-verified system specifications.

Enables control over AI model calls, tool invocations, and agent actions before execution. It provides real-time policy enforcement with cryptographic evidence.

Blocks unsafe AI agent actions before execution using versioned policy enforcement and verifiable chain-of-custody proofs.

Monitors AI agent actions, enforces permission boundaries, and automatically rolls back damage without code changes.

Sandboxes AI coding agents in isolated terminals to protect API keys, monitor tasks, and share projects securely.

Blocks prompt attacks, scores agent trajectories, and traces execution steps for artificial intelligence agents.

Enforces policies, approvals, spend controls, and auditability across enterprise artificial intelligence applications and agents.

A local security gateway for coding agents that blocks prompt injection, redacts PII, inspects traffic, and enforces policy.

Provides an end-to-end failure layer for teams building AI agents.

Checks supported coding-agent tool calls locally before execution.

Screens commands and tool calls for AI agents on supported Linux hosts to enforce runtime security.

Secures autonomous agents by defining boundaries, signing reasoning, and screening model calls.

Provides change control for artificial intelligence agents by requiring human approval before irreversible actions occur.