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