Employees paste source code, customer records, credentials, and regulated data into AI tools every day — ChatGPT, Claude, Gemini, and a growing list your security team hasn't approved yet. ShadowHunter is the firewall for that conversation. It inspects every prompt and every response, in both directions, before a sensitive disclosure leaves the network or a risky reply reaches an employee. Built and delivered by Cypra, it turns a channel security couldn 't see into one it can prove, block, and govern on demand.
Traditional DLP, CASB, and SIEM tools were built to watch files, email, and known SaaS channels. AI chat breaks that model — it's fast, free-form, encrypted, and often running through tools adopted long before any security policy caught up to them. Without prompt-level visibility, a CISO can't answer the one question that actually matters: which AI tools are employees using, what left through them, and whether a sensitive disclosure already happened. Point solutions catch fragments of this. None combine discovery, realtime inspection, and safe decommissioning in one governed channel — and the gap between them is exactly where the exposure lives.
ShadowHunter doesn't ask employees to stop using AI or change which tools they reach for. It inspects the conversation itself — prompt and response, both directions — and applies the policy security sets before risk ever leaves the network.
Surfaces every AI destination in use, sanctioned or not, including the ones nobody's approved yet.
Rates every destination 0–100 on data sensitivity, permission reach, and staleness, so the riskiest surface first.
Inspects prompts and responses for credentials, source code, and regulated data, then blocks, redacts, flags, or allows — live.
Drafts the full offboarding sequence for any tool that needs to go; nothing executes without a human's sign-off.
Employee uses AI tool
Mode 1 proxy / Mode 2 ICAP
PII, code, credentials
Block, redact, flag, allow
Audit log, live dashboard
Every Way Sensitive Data Tries to Leave
API keys, tokens, passwords, and secrets — caught before they leave in a prompt.
Source code, customer records, financials, legal and strategy content — flagged the moment they're pasted.
Surfaces every AI destination employees reach for before security approves it — including the ones nobody's heard of yet.
Two-way inspection reviews what the model sends back, not just what the employee sends in.
Ranks every destination on real signals, not a static label, so the team knows what to act on first.
Block, redact, flag, or allow — changed by security, live, no engineer required.
Offboarding drafts itself; nothing executes until a named approver signs off.
Standalone gateway or an ICAP module inside Zscaler / Netskope — no forced rip-and-replace.
What This Looks Like
Talk to our team to see a live demo tailored to your requirements.
Fill in the form below and our team will get back to you shortly.