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Product

Three protection modules that keep sensitive data away from generative AI.

GardWall

LLM gateway and browser firewall

Control and monitor every path AI usage takes (the browser, a desktop agent and a centralized LLM gateway) with one set of security policies.

  • Centralized LLM gateway with per-key rate limits and monthly cost budgets
  • Prompt-injection and jailbreak detection, and redaction of sensitive data before it reaches the model
  • Browser extension DLP: warn, mask or block sensitive data on supported AI sites
  • Data classification for personal data, financial and medical identifiers, secrets and source code, plus custom classifiers (Business and above)
  • Gateway audit log with prompt and response content encrypted at rest
  • Providers: OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, and self-hosted Ollama and vLLM

GardLens

Shadow AI discovery

Detect and monitor AI application usage across your organization without having to install an agent everywhere.

  • Discovery from DNS logs (Pi-hole, Unbound, CSV import) and from the optional desktop agent
  • Catalogue of 30+ AI tools with vendor, data-residency, retention and training-on-data profiles, matched against 60+ known AI domains
  • Risk score for every tool
  • On-demand PDF usage report
  • Alerts when a new AI tool appears

GardPosture

AI security posture and asset inventory

Inventory of the AI assets, data stores and non-human identities GardLayer discovers, with a posture score, misconfiguration detection and readiness reporting.

  • Inventory of detected AI services and non-human identities such as API keys and service accounts
  • Data-flow lineage between AI assets
  • Misconfiguration checks and risk scoring per AI asset
  • Sensitive-data discovery in S3, GCS, BigQuery, Snowflake, PostgreSQL, SharePoint, OneDrive, Slack and Teams files
  • Posture score and a SOC 2 readiness assessment with an exportable PDF report (a readiness aid, not a certification)
  • SIEM forwarding in CEF format