AI Security
Protect LLM model boundaries from injection vulnerabilities and prompt drift. Evaluate query intent semantically prior to LLM processing.
Prompt Injection Sandbox Test
Boundary Assessment
Inline Middleware
Compatible with major gateways like Vercel AI, Portkey, LiteLLM, and AWS Bedrock.
Product FAQ
How are prompt injections identified?
CipherNest utilizes vector similarity check pipelines to compare prompts against thousands of known jailbreak vectors and templates.
Is context preserved between conversational prompts?
Yes. Our boundary shield maintains conversational history context buffers to identify multi-turn prompt exploit vectors.
Does the model sanitize PII information?
Yes. The AI security engine can be configured to filter out Social Security Numbers, emails, API tokens, and credentials automatically.
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.