getstack.run's rivals

Provides an infrastructure to govern AI agents with runtime policy enforcement. It allows companies to ensure AI agents operate within defined boundaries and provides audit evidence for compliance. Enforcement occurs…

Provides temporary, session-scoped machine access and audit logs for artificial intelligence agents.

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

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

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

Provides secure runtime environments for AI agents using Firecracker sandboxes and built-in guardrails. It includes features like PII redaction, prompt injection defense, code security, toxicity scanning, and network…

Checks supported coding-agent tool calls locally before execution.

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

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

Provides runtime security and sandboxing for AI agents to dynamically adjust permissions as tasks change.

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

Provides a compliance layer for AI agents with cryptographic boundaries, access control, and tamper-evident audit trails.

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

Provides runtime infrastructure for autonomous AI agents, including identity, permissions, audit logging, and governance.

Provides an AI proxy for institutional memory and agent governance, enforcing runtime security policies and scoping access.

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

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

Runs, secures, and manages tools for artificial intelligence agents with permissions, isolation, and observability.

Provides generative AI agent guardrails mapped to MITRE ATLAS with deterministic tool-call boundary controls.

Verifies, governs, and audits AI agent actions before production data changes.

Provides an external pre-execution admission boundary to control automated and artificial intelligence actions.