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AI has become humanity's greatest innovation, but with that advancement comes it's vulnerability.
As businesses integrate LLMs like OpenAI and Anthropic, they expose themselves to a new breed of jailbreak and prompt injection attacks.
Traditional security cannot stop these because the malicious code is hidden in natural language. Attackers can trick AI into leaking proprietary system prompts, bypassing safety filters, or extracting sensitive company data, leaving developers in a constant race to manually patch vulnerabilities.
For this reason, @RecurProtocol was built.
Recur Protocol addresses this by deploying a network of Recursive AI Security Sentinels that sit between your application and the AI provider.
Instead of relying on static rules, Recur uses an evolving hierarchy of autonomous agents that inspect every prompt in under 5ms.
When a new attack vector is detected, the protocol mutates, spawning sub-agents to handle the specific threat; meaning the system learns and grows stronger with every attack it encounters.
By routing traffic through Recur’s proxy, developers get instant protection against prompt injection and IP extraction.
All security events are recorded on the Solana blockchain as immutable ZK-proofs, providing a verifiable record of safety without ever exposing the sensitive content of the user's data.
It is a plug-and-play defense layer that turns a vulnerable AI into a self-securing system.
With $RECUR, AI Vulnerability is fixed✅
recur-protocol.com
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