adx vision radar

AI governance

See the AI tools your people use. Govern what goes into them.

ADX Vision 2.0 is an independent control layer for AI. It maps AI usage across your organization from the endpoint, and applies your policy to AI interactions rather than trusting the AI system to decide what it can do with corporate data.

Part of the ADX platform. Anti data exfiltration at its core.

ON THE ENDPOINT · unified view · prompt protection

adx vision blocks

the problem

Your AI risk isn’t the tools. It’s what goes into them.

Employees paste intellectual property, customer records, and strategy docs into AI tools every day. It leaves through a text box, one prompt at a time, past every control built for files and networks.

48%

of employees put company data into public AI tools. KPMG, 2025

<20%

of AI apps in use are visible to the teams governing them. Zluri, 2025

the approach

See first. Then govern.

ADX Vision maps AI tools in use and governs the data flowing in, at the moment of input. Policy on the data, not the tool, so the employee keeps ChatGPT and the customer record stays behind.

01

Inspect

Inspects data moving to AI tools in real-time, including inside encrypted browser sessions and apps.

02

Control

Applies policy independently of the model or service, separating sanctioned AI from Shadow AI by behavior, not a list of domains.

03

Block

Blocks sensitive transfers in real-time, before data leaves the device. Sanctioned AI keeps moving.

blackshadow eyes

why adx vision

Everyone guards the entrance.
We guard the exit.

Four claims about how we govern AI. No competitor can make all four.

01

On the endpoint

rules out cloud proxy players

02

Across major AI tools

RULES OUT VENDOR-NATIVE ADMIN PANELS

03

Not just the browser

RULES OUT BROWSER & EXTENSION TOOLS

04

Without blocking the tool

RULES OUT THE BLOCK-EVERYTHING APPROACH

Others can do one or two. Only endpoint-native control brings all four together.

NEW IN 2.0 · AGENTIC AI

Don’t ask the AI to police itself.

As organizations deploy more autonomous AI systems, the question is no longer just which tools people use, but what those systems are allowed to do with corporate data. ADX Vision 2.0 enforces that policy independently, at the endpoint, not within the AI system itself.

On the endpoint

Policies apply at the endpoint, so AI interactions are governed consistently across different LLMs and services.

Visibility and auditability

One view across endpoints and AI interactions, covering what is used, what is sent and what it costs.

Data stays inside

Whatever an agent is asked to do, sensitive information is held back before it leaves the business.

coverage

One agent. One unified view.

Because ADX Vision runs on the endpoint, coverage doesn’t stop at the firewall or the browser. It sees the data whenever it communicates with AI and provides a unified view of LLM usage.

Beyond the network

Reads the data inside encrypted browser sessions, where CASB and SWG see only a trusted domain.

Unified view

A single console to govern and review all AI use across major LLM providers, including token and prompt management.

Consumer AI tools

Covers ChatGPT, Claude, Gemini, and Perplexity, not only sanctioned enterprise deployments.

Endpoint-native reach

Managed and unmanaged devices, personal machines, offline and air-gapped, even autonomous agents.

MANAGED & UNMANAGED BROWSERS  ·  UNIFIED VIEW  ·  PERSONAL DEVICES  ·  OFFLINE & AIR-GAPPED  ·  AUTONOMOUS AGENTS

01 · Sensitive prompt interception

Sensitive data stops before it reaches the AI tool.

ADX Vision inspects prompt content at the moment of input and intercepts intellectual property, customer records, credentials, and financial data before it’s sent to a third-party AI tool. It acts on the data, not the tool, so your people keep the AI they rely on.

02 · AI activity monitoring

Shadow AI stops being a guess. It becomes an inventory.

See the AI tools in use across your organization, on every device, including the ones nobody sanctioned. ADX Vision measures usage across all major vendors from the endpoint. When the CEO asks which AI tools the company is using, you answer with data.

adx vision inventory

03 · Prompt injection protection · 7 layers

Data doesn’t only leave by mistake.

Compromised pages, poisoned context, and rogue agents can manipulate an AI session into pulling data out. ADX Vision 2.0 adds seven layers of prompt injection and prompt poisoning protection: context switching, obfuscation, jailbreak detection, data exfiltration, dangerous prompt patterns, fuzzy keyword detection and structural anomaly detection. Manipulated prompts are identified before they create risk.

04 · Custom policies

Your definition of sensitive, not ours.

Custom controls apply at company or departmental level. Identify credit card numbers, Social Security numbers and the domain-specific terminology that matters to your business, so policy reflects the data and the language each team actually works with.

05 · LLM redirection

Send people to the AI you actually licensed.

New in 2.0: AI requests can be redirected to sanctioned, officially licensed LLM services. Your AI policy is enforced without taking the tools away, and employees keep working in the services you approved.

06 · Data rights

Know what each AI tool does with your data.

Every vendor treats your data differently. ADX Vision tracks the license terms behind each model. Retention windows, whether your prompts train the model, and whether traffic is encrypted. You set policy on facts, not guesses.

adx vision governance
adx vision audit trail

07 · Prompt audit trail

An optional record of every prompt, ready before anyone asks.

Prompt auditing in ADX Vision 2.0 is optional. Where it is appropriate for your governance and compliance requirements, you can audit prompts sent to frontier LLMs and retain them under the policy you set. When the board, a regulator, or an auditor asks how AI is being used and what data touches it, you have the answer.

08 · Usage & cost analytics

Token spend across all major models, in one view.

Each AI vendor shows you only its own spend. ADX Vision 2.0 gives a unified view of token consumption across LLMs, showing where tokens are consumed and by whom. It supports financial planning, accountability, and decisions about which models suit which workloads. It also makes token theft visible, an emerging attack vector in which access to AI services is used without authorization.

ADX vision usage and cost
adx vision you set the policy

GOVERNANCE, NOT SURVEILLANCE

You govern data movement. Not people.

ADX Vision monitors how data moves, not what your employees do. You define what counts as sensitive, what gets recorded, how long it’s retained, and who can see it. Role-based access limits visibility to the teams that need it, and every capability runs under policies you set.

how it compares

AI created a new security gap. ADX closes it.

ADX prevents exfiltration at the moment of AI interaction. DLP, EDR, DSPM and other security categories were built to solve different problems. ADX adds the control they weren’t designed to provide.

adx vision how it compares
adx vision how it compares

“If you can stop the data leaving, you’re already in a much better position. That’s the layer that was missing before. BlackFog fills a gap that other solutions fail to address.”

DGDanny GrahamCIO, Studio Gang

500+

enterprises, agencies, and infrastructure operators protected worldwide.

You cannot govern what you cannot see.

Uncover shadow AI, understand where your data is going, and control what leaves, in real-time, from the endpoint.