declaw.ai'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 an isolated operating system for AI agents. It offers computer, sandbox, and runner capabilities for Linux, Windows, macOS, iOS, and Android environments, enabling snapshot restoration and CI job integration.

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

Provides a lightweight sandbox runtime for AI agents. It embeds into local processes, creating a secure bash environment without requiring VMs or remote infrastructure. bVisor is being developed by Butter.

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

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

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

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

Provides a computer environment for agents to remember context, build reusable skills, and retain workflows.

Trains small models for AI agents to approve actions in real time. Policies and task context are used to align agent actions with company interests.

Hosts artificial intelligence agents on Firecracker microVMs for continuous cloud execution.

Scans recorded AI coding agent sessions for exposed credentials and guards supported actions against prompt injection.

Provides remote approvals for unattended AI agents with a signed record of every decision.

Monitors AI coding tools to detect leaked secrets, PII, and confidential data without blocking engineers or reading prompts.

Checks supported coding-agent tool calls locally before execution.

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

Provides a lightweight library that gives agents files, processes, shell, and networking capabilities. It offers a virtual operating system with WebAssembly isolation.

Provides a runtime platform for AI-native companies to run AI agents, services, and models in secure microVMs. Deployments can occur on the company's cloud or infrastructure. It offers Kubernetes automation and GPU…

Offering AI security guardrails easily added via code, enabling organizations to deploy secure AI applications efficiently.

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

Provides a secure vault for AI agents to access data with permission. Data is stored in a zero-knowledge vault, and redacted after each session.

Runs long-running apps, AI agents, and cronjobs on hardware-isolated microVMs with zero-downtime live migration.

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

Provides a macOS sandbox to restrict AI coding agents' access to system resources, including files and networks. This protects against potential risks associated with agent access to sensitive data and commands.

Blocks data leaks, prompt injection, and off-policy outputs for artificial intelligence applications with real-time alerts.

Rootless Linux sandbox for developers that isolates coding agents and third-party packages.