wardstone.ai's rivals

Blocks prompt injection, jailbreaks, and personally identifiable information leaks for artificial intelligence models.

Behavioral sandbox to extract intent from and detect prompt injection in large language model inputs.

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

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

Automated security testing for chatbots, agents, and APIs to detect prompt injection, data leaks, and unsafe behavior.

Offers open-source encoder guardrail models for real-time LLM safety and policy classification. It focuses on jailbreak detection capabilities.

Secures AI agents with a local-first runtime proxy to detect prompt injection and data exfiltration.

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

Provides automated quality assurance, security guardrails, and token intelligence tools for prompts and AI agents.

Detects personally identifiable information, masks prompts, and audits large language model traffic to support privacy compliance.

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

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

Secures AI agents with zero-trust identity, an LLM and MCP gateway, runtime defense, and forensic lineage for security teams.

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

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

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

Provides risk management and evaluation tools for deploying agentic AI systems.

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

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…

Provides runtime security for artificial intelligence agents by screening tool results and documents.

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

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