iDox.ai Guardrail
iDox.ai Guardrail is a real-time AI security layer that prevents sensitive data exposure in generative AI workflows.
It operates at the endpoint to intercept prompts, file uploads, and AI interactions before data leaves the user’s device. Guardrail applies policy-based controls to detect and block sensitive data such as PII, PHI, PCI, intellectual property, and confidential business information.
Unlike traditional data loss prevention (DLP) tools, Guardrail is built specifically for AI usage. It monitors how users interact with AI tools like ChatGPT, Microsoft Copilot, and Claude, and enforces protection in real time.
Key capabilities include:
- Real-time prompt and file monitoring
- AI-aware sensitive data detection
- On-the-fly anonymization and sanitization
- Protection against AI agent risks (e.g., unauthorized file access like OpenClaw)
- Website whitelisting and policy enforcement
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Unity AI Gateway
Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.
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Earthly Lunar
Earthly Lunar is a guardrails engine for engineering teams that turns wikis, AI prompts, AGENTS.md files, infrastructure rules, checklists, compliance requirements, and postmortem findings into deterministic enforcement across code repositories and CI/CD. It watches code and CI/CD systems to collect SDLC data from source and configuration files, dependencies, test results, IaC, deployment configurations, security scans, SBOMs, build scripts, API specs, and more, then normalizes that information into a structured view of each application. Guardrails-as-code continuously evaluate the data against an organization’s engineering standards and provide real-time feedback on every code change. The same policies can run during AI-assisted authoring, on pull requests, and at deployment gates, with enforcement ranging from visibility and PR comments to blocking non-compliant changes.
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Alice
Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence.
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