ADX Vision
ADX Vision is BlackFog’s next-generation solution designed to detect and prevent unauthorized data sharing with AI tools. It provides real-time visibility and control over AI interactions on every endpoint.
As organizations increasingly adopt AI tools, Shadow AI has emerged as a significant risk. ADX Vision prevents sensitive data from being shared with unapproved or ungoverned AI systems.
The rapid rise of AI tools created an urgent need for visibility and controls around how enterprise data is shared. ADX Vision extends BlackFog’s award-winning ADX platform to protect against this new category of data exfiltration.
Any organization using or evaluating AI tools, particularly those with strict regulatory, compliance, privacy, or IP protection requirements.
Shadow AI refers to the use of unapproved or unmonitored AI tools by employees, often without IT or security oversight.
Many AI models store and learn from user inputs. When sensitive data is shared, it can be retained outside organizational control, leading to IP exposure and compliance violations.
With AI tools becoming mainstream, most organizations experience Shadow AI activity, even if they are unaware. Employees often use AI tools to increase productivity without understanding the risk.
Operation
ADX Vision monitors real-time endpoint activity to identify data flowing to AI applications, models, and interfaces.
Popular large language models (LLMs), AI-powered productivity tools, browser-based AI interfaces, and embedded AI features within enterprise applications.
No. Organizations can allow approved AI tools while blocking unauthorized or risky ones.
The user is prevented from accessing the LLM and sending the data, IT administrators will be able to see the blocked action in the BlackFog console.
ADX Vision is deployed at the endpoint level using BlackFog’s standard lightweight agent. It is quick and easy to deploy and has been designed to work seamlessly with other cybersecurity products.
No. The analysis and prevention occur directly on the device.
At time of launch, ADX Vision is available for Windows. macOS and Linux will follow in early 2026.
Yes. ADX Vision is an extension of the ADX platform and has been designed to work both independently and as part of the wider ADX platform which prevents additional cybersecurity threats such as ransomware.
General
Yes. By blocking all but licensed LLM’s you can prevent sensitive data being sent to systems that automatically train against your data.
Yes. It monitors AI activity even when embedded within familiar applications.
Yes. To non approved LLM’s.
No. It is engineered for lightweight, efficient, on-device analysis.
Protections remain active even without network connectivity. It will not protect against locally run LLM’s because data is not actually leaving the device.
ADX Vision is offered as a standalone or an add-on to the ADX platform.
Yes. Pricing scales with deployment size.
Yes. Ongoing updates will increase coverage as the AI landscape evolves. No agent updates are required as new LLM platforms are added.
Yes. Additional analytics, policy controls, and classification insights are in development.
Anti Data Exfiltration (ADX)
The goal of any cyberattack is data theft. Adding an ADX solution to a security strategy ensures that there is nothing for an attacker to gain. Without data exfiltration there is no breach, no ransom and no extortion. When cybercriminals can’t steal data, they move on to the next target.
We know that any cybercriminal intent on infiltrating a device or network will eventually find a way in, regardless of the perimeter defense solutions that are in place. ADX looks at the problem in a new way. By making the assumption that bad actors will get into the network, it focuses on preventing them from leaving with an organizations data. No data exfiltration means no successful cyberattack.
Pioneered by BlackFog, ADX is a technique used to prevent unauthorized data from leaving a device. By targeting multiple parts of the kill chain, ADX effectively blocks the activation and spread of cyberattacks. Since cyberattacks, especially ransomware focuses on data theft for extortion this has become an important technique to thwart modern polymorphic attacks that cannot be stopped by traditional anti-virus or EDR solutions.
ADX works by investigating outgoing data on endpoint devices. This gives it a markedly smaller footprint than other solutions, such as firewalls or DLP, which examines incoming and outgoing traffic at the edge of the network. ADX solutions are lightweight enough to run on mobile devices and do not need to work on the corporate network. Instead of comparing traffic to a dictionary of attack signatures, ADX solutions use behavioral analytics to identify unusual behaviors on a user-centric basis. ADX limits the ability for users – including privileged users and administrators – to send sensitive data outside the network.
BlackFog has been around since 2015 and is the leader in ADX, a new category for anti data exfiltration technology. BlackFog has been endorsed by leading analysts and received several industry awards, so you can trust ADX technology. Hundreds of global customers across all industry verticals trust BlackFog to secure their data and prevent cyberattacks.
Governance & Security
Yes. Administrators can define approved and unapproved AI tools.
Yes. Policies can be applied at granular levels across departments, roles, or devices.
Yes. By preventing sensitive data from leaving the environment, ADX Vision supports AI governance, privacy, and regulatory controls.
Minimal operational data required for security alerts and reporting. No sensitive data is sent to the cloud.
No. Only device activity is recorded and aggregated in the cloud to provide the size and scope of organizational AI use. No prompts are recorded.
Yes. Its on-device model inherently supports privacy-first requirements.
Yes. Administrators can receive immediate event alerts when unauthorized AI interaction occurs.
Yes. Administrators can review AI interaction history and trends within events.

