KavachFind & protect
SDKSDKs that locate and protect sensitive data inside prompts, logs and unstructured text — powered by the Kavach detection engine.
scan(prompt).protect(mask|redact|tokenize)
Set a protection policy once and enforce it at every layer — data stores, prompts, logs and agent tool calls — so AI teams ship faster while security stays in control right beside them.
Agents are good at combining many individually permitted answers into something the enterprise never intended to share. A document here, a billing query there, a support transcript behind a third door — together they reconstruct business knowledge that was supposed to stay inside.
Kavach-AI catches exposure before it compounds: sensitive data is found and protected at the source, agent access is governed by policy at the gateway, and every inference is checked for leakage.
A three-phase loop that starts with knowing what you hold and ends with protection that gets stronger over time.
Policy enforced at the gateway — deterministic, repeatable, and hard to talk your way around.
SDKs that locate and protect sensitive data inside prompts, logs and unstructured text — powered by the Kavach detection engine.
Govern how agents retrieve knowledge, reason over enterprise data, and formulate responses — at the model boundary, not after.
Irreversibly de-identify regulated attributes while preserving analytical value for model training and business intelligence.
Produce realistic, privacy-safe datasets for testing, training and simulation — statistically faithful, never real.
Format-preserving tokenization and contextual masking keep regulated fields usable downstream without exposing the value.
Every model response is re-checked for leakage and policy drift, with a compliance-ready trail of who saw what.
AI only delivers value when it can reason over enterprise knowledge — but regulated and confidential data cannot flow freely into models, agents and pipelines. Kavach-AI applies protection at the data layer before AI touches it, so teams unlock more context safely.
Start free, scale with the agents — or go straight to enterprise-grade controls.
SDKs for finding and protecting sensitive data in prompts, logs and text. Free forever for developers.
Whatever your AI stack, governed data keeps agents powerful and trustworthy across models and MCP tools.
Modular protection for AI, analytics and hybrid workloads — agnostic to frameworks, systems and hyperscalers.
Protect the data layer before your agents go live. Book a demo or check your readiness today.