Multi-Tenant AI Security
Secure customer-facing AI agents. Maintain strict data boundaries, prevent tenant-to-tenant data leaks, and monitor prompt exploits across all accounts.
Key SaaS Challenges
Multi-Tenant Isolation
Ensuring that user prompts evaluated inside LLMs do not reference or leak data indices belonging to other customers.
Scaling Security Rules
Applying customized prompt boundaries and API key shields across thousands of independent customer agent deployments.
Public Jailbreak Exposure
Preventing customers from jailbreaking your application models to extract underlying system parameters or run unbilled operations.
How CipherNest Helps
Tenant Context Binding
Automatically inject tenant tags to vector query templates and inspect prompt outputs to ensure zero multi-tenant data bleed.
Distributed Rule Policies
Configure prompt boundary shields at the database level, allowing different compliance rules to run on different tenant workspaces.
Case Study: SaaS Provider Secures 12,000 Corporate Agents
A B2B SaaS dashboard integrated CipherNest's telemetry API, successfully auditing prompts and tool executions across 12,000 tenant workspaces.
Secure your AI platform
before attackers do.
Join the private beta to deploy the unified AI-native security platform across your code, agents, MCP ecosystems and runtime. Or book a live walkthrough with the founding team.