AILeakShield gives your team one secure place to use ChatGPT, Claude, Gemini, and other AI tools, with AI prompt DLP that can warn, mask, or block sensitive data before it reaches the model.
We help you discover AI already in use and apply DLP policies for those you knew about and those you did not know about.
Watch a 5-Minute AI Data Loss Prevention Demo to see how AILeakShield helps prevent sensitive data from reaching AI prompts and discover which AI tools are being used across your organization.
Employees use AI because it helps them move faster. They summarize pasted text, rewrite emails, review pasted business information, draft policies, debug code, and brainstorm customer responses.
But when prompts include customer records, employee information, source code, credentials, contracts, protected healthcare information, financial data, or internal strategy, sensitive data can leave the business before security teams ever see the risk.
AILeakShield gives your organization a safer path: one approved AI workspace where employees can use AI with protection built into the prompt workflow. One solution to discover AI in-use and one solution to protect AI solutions already being used by your employees.
Customer records, PII, payment data, employee details, contracts, credentials, source code, and internal strategy can all end up inside AI prompts.
Teams often use personal AI accounts, browser tabs, and unapproved tools when the company does not provide a secure alternative.
Security, legal, privacy, and compliance leaders need a defensible way to govern AI usage.
Blanket bans slow down the business and push AI usage underground. Secure enablement gives employees a better option.
AILeakShield helps companies replace unmanaged AI usage with approved AI access, prompt-level protection, and usage visibility.
Your team uses AI the way they already work: drafting, summarizing, analyzing, researching, and creating.
AILeakShield checks for PII, PHI, PCI, credentials, secrets, customer records, source code, financial information, and custom business terms
Detect all AI tools in use at your organization. Automatically rank them by risk. Approve or block ones in use immediately. Or place our strict DLP policies around AI solutions you manage or don't manage.
AILeakShield can allow, warn, mask, require confirmation, or block the prompt based on your rules. Both in the AILeakShield secure workspace, and any AI solution used in the employee's browser (authorized or unauthorized)
Safe prompts are routed to the selected AI model, including GPT, Claude, Gemini, Mistral, Llama, or enterprise-approved providers.
Usage, policy decisions, blocked prompts, and risk trends are available for review without turning AI adoption into a surveillance program.
Strong broad DLP coverage, but browser and endpoint coverage can require plugins, agents, rollout planning, policy tuning, and ongoing updates.
Strong for Microsoft-heavy environments, especially Microsoft 365 and Copilot, but broader AI coverage depends on Microsoft licensing, configuration, extension, and endpoint setup.
Detect and protect sensitive content before it is sent to an AI model. AILeakShield helps stop customer data, employee data, source code, secrets, credentials, payment data, and regulated information from leaving your business through everyday AI prompts. Including our secure AI workspace and any shadow AI used in your environment.
Give your team one approved place to access leading AI models. Support GPT, Claude, Gemini, Mistral, Llama, and future providers as your AI strategy evolves.
Warn employees, mask sensitive data, require confirmation, block restricted content, or route specific use cases to approved models.
Give employees secure access with Microsoft single sign-on included in every plan.
AI model costs are embedded in each plan up to the included usage cap, so customers can enable secure AI access without managing separate model invoices for standard usage.
Create an inventory of all AI in use at your organization and automatically rank the AI solutions by risk.
Create company-specific filters for sensitive terms, customer identifiers, regulated data, internal project names, or confidential business language.
Utilize AILeakShield to block AI solutions you have not approved. For AI solutions you have approved, utilize the tool to block sensitive data getting to the prompts.
Prompt text and contextual AI inputs are removed at the end of each day. We do not store your data, and we help prevent sensitive data from reaching the models.
AILeakShield is hosted on Microsoft Azure infrastructure in continental United States Azure regions. The service is built for businesses that want secure, approved AI access with Microsoft SSO, prompt-level protection, usage controls, and transparent security practices.
A SOC 2 Type 2 Data Center with AILeakShield SOC 2 audit available every year.
Hosted on Microsoft Azure infrastructure in continental United States Azure regions.
Microsoft single sign-on is included in every plan.
CSA STAR trust category included at launch.
Prompt text and contextual AI inputs are removed at the end of each day.
Built on Azure datacenters with independent compliance programs, including SOC, ISO, CSA STAR, PCI DSS, HIPAA/HITECH support, and FedRAMP for applicable Azure services.
Reduce AI data leakage and shadow AI exposure.
Support AI governance, auditability, and policy enforcement.
Help prevent PHI and patient information from being pasted into unmanaged AI tools.
Help protect client records, account data, financial information, and internal analysis.
Help prevent contracts, privileged information, and case details from entering public AI tools.
Help protect source code, API keys, credentials, product plans, and customer data.
How it works
Five stages, in the order you will actually live them — starting with two weeks where nothing is blocked at all.
AILeakShield installs by policy and runs in monitor mode. For the first two weeks it blocks nothing and changes nobody’s workflow — it simply records what is already happening. Then you sit down with real numbers and decide what to enforce. One switch, and it is yours to flip.
Around fifty services across twenty categories — assistants, coding assistants, image and video generators, voice tools, translation, writing aids, model APIs and inference hosts. Not a list of names, but a risk register: which ones train on whatever your staff paste into them, where each processes data, and whether a business tier even exists to move to.
Browser activity is picked up continuously. Desktop and command-line tools that never open a tab — coding agents, local assistants, direct API calls — are covered by importing a DNS or proxy log.
Plenty of tools will tell you an AI tool was used. That is an alert after the data has gone — an incident you now have to investigate. AILeakShield inspects the prompt and stops sensitive content before it reaches the model, so there is nothing to investigate, because nothing left.
A ban relocates risk; it does not reduce it. Give people a sanctioned place to work with GPT, Claude, Gemini, Mistral and Llama — a choice of frontier models under one policy, with a full audit trail, where prompts are never used to train anyone’s model.
HIPAA, PCI, GDPR and your own rules about what may leave the building — configured once and enforced everywhere AI is allowed, including the secure workspace.
Every decision, every override, and the reason the person gave for it. Reporting that answers “what is our AI exposure” with evidence rather than an opinion.
Discovery covers the full catalogue of AI services. Enforcement covers the assistants your staff are most likely to reach for — ChatGPT, Microsoft Copilot, Claude, Gemini and Perplexity — with everything else discovered and reported so you can decide what to do about it.
From stopping leaks to governing AI agents — pick the plan that fits, and we'll tailor pricing to your seat count. Available direct, through your IT partner, or via TD Synnex.
Protect
See and stop AI data leaks across every AI tool.
Provide
Give your team a safe AI they can actually use.
Govern
Govern all your AI — including AI agents.
Want the full feature-by-feature breakdown? Compare all plans →
What security, IT and compliance teams ask before they roll this out.
The problem
Shadow AI is any AI tool your staff use without IT approval — a personal assistant account, a coding agent, an image or voice generator, a browser extension, a direct call to a model API. It is rarely malicious. People reach for whatever helps them finish the work, and most organisations find services running across a dozen or more categories that nobody signed off.
Deploy the browser extension by policy and watch for two weeks. It records every AI service reached, without blocking anything, and ranks what it finds by risk rather than by popularity. For tools that never open a browser, import a DNS or proxy log and those appear in the same inventory.
You can block the domain, and staff will use a personal device or a tool you have not heard of yet. A firewall decides whether a site is reachable; it cannot see what someone typed, so it cannot tell an approved research question from a customer list pasted into a chat box. Blocking without a sanctioned alternative moves the activity somewhere you have no visibility at all.
Traditional DLP watches files, email and endpoints. An AI prompt is none of those — it is an HTTPS request to a domain most policies already permit, so the content is invisible to tools that inspect at the network or file layer. AILeakShield inspects the prompt itself, in the browser, before it is sent.
Compliance
It provides the control and the evidence that regulated organisations need when staff use AI: preventing regulated data from reaching a third-party model, and producing a record of what was detected and decided. That maps onto the obligations in:
Ready-made policy presets ship for HIPAA, PCI, GDPR, GLBA and defense, so a regulated organisation is not starting from a blank form.
No, and be wary of any vendor that says otherwise. Compliance is a property of your organisation, not of a tool. What AILeakShield does is implement a specific control — regulated data does not reach an unapproved AI service — and produce the evidence that the control was operating. Auditors ask for both. This is one component of a larger program to be PCI or HIPAA compliant. We offer additional services through cybersecurityservices.com our consulting practice.
Six categories, each set independently to block, warn or allow:
So a hospital can block PHI outright while only warning on financial data, and a payments business can do the reverse. The same settings apply in the browser and in the secure workspace, so there is one policy rather than two.
Yes. Project codenames, client names, unreleased product names, internal system names — anything that is confidential to you but looks unremarkable to a generic detector. These are treated as your own category and never leave your tenant.
It gives you an implemented control and an audit trail for it, which is what those frameworks ask for. AI use is increasingly raised under confidentiality criteria and third-party risk, and “we have a policy” is a weaker answer than a record of what was detected, what was blocked, and who overrode what and why.
Both start from the same place: knowing which AI systems are in use. The risk-ranked inventory is that starting point, and the policy and audit records support the governance duties that follow. NIST AI RMF is voluntary and has no certification, so treat any “AI RMF certified” claim — from us or anyone else — with suspicion. We say aligned with, not compliant.
How it works
Detection alone will not: an alert arrives after the data has already reached the model. AILeakShield inspects the prompt in the browser and blocks, masks or warns before it is sent, according to the policy you set for each category of data. The same policy applies across the assistants your staff use, not one of them.
Not unless you choose to. It starts in monitor mode, where nothing is blocked and nothing changes for staff. You decide what to enforce after seeing your own numbers — and giving people a sanctioned workspace usually works better than a ban, which simply moves the activity somewhere you cannot see it.
Coding agents, desktop assistants and anything calling a model API directly are outside what a browser extension can see. Import a DNS or proxy log and they join the same risk-ranked inventory, so the picture covers the estate rather than just the tabs.
It depends on the category and the rule you set. Blocked content does not leave the browser. A warning explains what was detected and why, and if the person proceeds anyway they are asked for a reason, which is recorded — so a judgement call becomes evidence rather than an argument later.
Rollout
No. The browser extension is deployed by policy through Intune, Group Policy or your MDM. Nobody installs, signs in or configures anything, and browsers begin reporting within a minute of the policy applying.
Chrome, Edge, and Firefox are verified end to end for managed deployment. Safari is available on request — talk to us about either before you plan a rollout around them.
Yes. Protection travels with the browser rather than the network, so there is no VPN to route through and no difference between someone in the office and someone at home.
Trust and evidence
Prompt text is not retained. Inspection happens in the moment, and stored records keep the decision and the category rather than the content — a product that leaks the data it was bought to protect would defeat its own purpose.
No. Work done in the secure workspace is not used to train models. That is a large part of why a sanctioned destination reduces risk while a personal account on a consumer tier increases it — several of the services your staff reach for do train on what is pasted into them by default.
A record of what was detected, which policy applied, what was decided, and the reason given whenever somebody overrode a warning. That answers “how do you govern AI use” with evidence rather than an intention, which is the form the question usually takes.
AILeakShield helps your team use the AI tools they already want with prompt protection, Microsoft SSO, usage controls, daily prompt text deletion, and enterprise-ready security controls.
