Deflected Platform

Shadow AI Discovery

You can't secure the AI you can't see.

Deflected continuously surfaces the unsanctioned AI tools spreading across your organization. It finds the employees quietly pasting sensitive data into public models and brings that hidden risk back under policy.

The risk this closes

Employees paste source code, customer records, and credentials into public AI tools every day. That usage is invisible to your existing DLP and CASB, it never touches an approval workflow, and it turns routine productivity into uncontrolled data exposure you can't measure or govern.

The pattern is consistent. An engineer drops a proprietary function into a public chatbot to debug it. A sales lead pastes an account list into a summarizer. A product manager feeds an unreleased roadmap into a free writing assistant. Each action feels harmless. Together they move your most sensitive data outside your control, into systems you don't own and can't audit.

Once that data leaves, it may be retained, logged, or used to train a model you have no relationship with. You cannot revoke it. And because none of this appears in your existing controls, the first sign of trouble is often an incident — not a policy decision. Shadow AI Discovery closes that gap by making the invisible usage visible, quantifiable, and governable.

Built to run in production

1

Detect

Identifies sanctioned and unsanctioned AI tools in use across your network, browsers, and endpoints.

2

Map

Traces what data flows to each tool and which teams and accounts are driving that usage.

3

Score

Quantifies exposure per tool and per dataset so you can rank risk instead of guessing.

4

Enforce

Turns findings into an enforceable AI usage policy with clear allow, restrict, and block lists.

What you get

Discover unsanctioned AI use

A live inventory of every AI tool touching your data — including the ones no one told you about.

Quantify data exposure

Concrete measures of what sensitive data is leaving, through which tools, and at what volume.

Enforce an AI usage policy

Move from blind spots to governed usage with policy your teams can actually follow.

Built for the people accountable for AI risk

Shadow AI adoption crosses every team boundary, so the exposure lands on the people responsible for security, compliance, and platform decisions. Shadow AI Discovery gives each of them the same source of truth.

CISOs & security teams

Get a live inventory of every AI tool touching corporate data and a ranked view of where exposure is greatest — without waiting for an incident to reveal it.

Compliance & data-privacy leaders

See exactly what regulated data is leaving the organization and through which tools, so you can evidence AI usage against frameworks like the EU AI Act and NIST AI RMF.

IT & platform teams

Understand which AI services employees actually rely on so you can sanction good tools, retire risky ones, and route usage to approved alternatives.

In the real world

The exposure is rarely malicious. It is ordinary work moving through the fastest tool at hand. These are the scenarios Shadow AI Discovery is built to surface.

Engineers pasting code into public models

Developers routinely drop proprietary source, keys, and internal logic into public chatbots to debug faster. Discovery flags the tools involved and the repositories at risk.

Sensitive data in unsanctioned tools

Customer records, financials, and unreleased plans get pasted into free summarizers and writing assistants. Discovery shows what data is leaving and where it is going.

Discovering ungoverned tool sprawl

Dozens of AI apps enter the organization one signup at a time. Discovery consolidates that sprawl into a single inventory you can actually govern.

Why teams choose Deflected

Point-in-time audits and blanket blocks don't hold up against AI tools that change weekly. Shadow AI Discovery is built for how AI usage actually spreads.

Continuous, not a one-time scan

New AI tools appear constantly. Discovery runs continuously, so your inventory reflects what is happening now — not what was true at the last audit.

Quantifies real exposure

Instead of a raw list of apps, you get exposure scored per tool and per dataset — so you can prioritize the risks that actually matter first.

Turns findings into policy

Discovery doesn't stop at visibility. It converts what it finds into enforceable allow, restrict, and block decisions your teams can follow.

Quantum-secured by default

Every byte handled by Shadow AI Discovery is protected with NIST-standardized post-quantum cryptography — ML-KEM-1024 key encapsulation (FIPS 203) in a hybrid scheme. Your data stays sealed against harvest-now, decrypt-later attacks, today and after quantum computers arrive.

Questions, answered

How does discovery work without spying on employees?
Shadow AI Discovery focuses on tools and data flows, not on reading employee content. It identifies which AI services are being reached from your network, browsers, and endpoints, and characterizes the type and volume of data moving to them. The goal is to govern where corporate data goes, not to monitor individuals. Findings are framed around tools, teams, and datasets so you can set policy without turning security into surveillance.
What data does it surface?
You get a live inventory of the sanctioned and unsanctioned AI tools in use, mapped to the teams and accounts driving that usage. For each tool, Discovery characterizes the kinds of sensitive data flowing to it — source code, customer records, financial and strategy documents, credentials — and quantifies exposure per tool and per dataset. That turns a vague concern about shadow AI into a ranked, evidence-backed view you can act on.
How does it enforce policy?
Discovery converts its findings into an enforceable AI usage policy built on clear allow, restrict, and block decisions. Approved tools are sanctioned, risky ones are restricted or blocked, and usage can be routed toward governed alternatives. Because the policy is grounded in real, measured usage rather than assumptions, it reflects how your organization actually works — which makes it far easier for teams to follow.
How is it deployed and integrated?
Shadow AI Discovery is delivered as a cloud service designed to complement, not replace, your existing DLP, CASB, and identity controls by covering the AI-specific blind spot they miss. All data it handles is protected with NIST-standardized post-quantum cryptography, including ML-KEM-1024 key encapsulation (FIPS 203) in a hybrid scheme with X25519 and AES-256. During onboarding we map the service to your environment and show exactly where it fits.

See Shadow AI Discovery on your stack

Book a working session with our team. We will map Shadow AI Discovery to your environment, surface the unsanctioned AI already touching your data, and show exactly where it fits.