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Active AI Defense

Your AI usage policy says what the team may do. At the keyboard, though, a sheet of rules stops nothing: you need a technical layer that acts the instant data tries to leave to an artificial intelligence.

Active AI Defense is that layer: it blocks the sending of sensitive data to an AI, controls access to the approved tools and protects the AI assistants that run tasks against hijacking and malicious instructions. And Zamak operates it on the defense arsenal your company already uses, without replacing what you have.

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If an employee pastes the company's most sensitive data into a public AI right now, what stops it?

Your company probably already has an AI usage policy, or at least the intention to have one. But a policy is a sheet of rules, and the risk does not happen on the sheet: it happens the instant an employee pastes a contract, source code or the customer base into a public artificial intelligence to get the work done. In that second, the data leaves your company and does not come back. If, at that exact moment, nothing on their computer acts, the rule exists and so does the leak. Active AI Defense closes that distance between what the policy says and what actually happens at the keyboard.

Malicious instruction injection (prompt injection) is the number one risk for AI applications, according to OWASP, the world's leading reference in application security, which kept it at the top of its 2025 list.

Around three in four people who use AI paste content straight into the assistants, and about one in five of those pastes contains personal or card data, according to Cyberhaven: each paste is a small leak that slips past traditional defenses.

16% of data breaches in 2025 already involved attackers using AI, and unsanctioned AI appeared in one in five breaches, adding on average US$ 670,000 to the cost. Source: IBM, Cost of a Data Breach.

Active AI Defense is the technical answer to that question: a layer that acts on the browser and the device, exactly where AI use happens, and that at the moment of sending stops sensitive data from leaving, controls access to the approved tools and keeps AI assistants within limits. Zamak Technologies operates that layer on the defense arsenal your company already uses, and it starts with a free self-check of your current AI exposure.

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Where the policy fails in practice

Governing on paper does not stop the leak at the keyboard.

See four common scenes in which the good intention of an AI policy does not hold the risk at the moment it happens. None depends on the size of the company or on the employee acting in bad faith: you only need people using AI to work, and today everyone does.

An employee pastes the entire contract into a public AI to summarize it, and the data leaves the company.

It is not sabotage, it is haste: someone in legal pastes a confidential contract to summarize it, a developer pastes proprietary code snippets to debug, a salesperson pastes the customer list to write an email. The intention is good, the result is the same: the sensitive data left to a third-party service, often on a personal account that may use that content to train its own model. A policy says not to do this; only a technical layer that recognizes the data at the moment of sending and blocks it stops it from happening.

Everyone uses the AI they want, on the account they want, and no one knows what or where.

Without controlled access, AI in the company becomes a free-for-all: one uses a chat assistant on a personal account, another installs an extension no one approved, a third connects a coding tool to the company database. It is unsanctioned AI, shadow AI, and it grows precisely where there is no visibility. When an incident happens, there is no trace of who accessed what. Giving unified, controlled access only to the approved tools, with stronger identity, is what trades that free-for-all for a single door, watched and logged.

An AI assistant that runs tasks receives a hidden instruction and acts against the company.

The newest AI assistants do not just answer: they execute. A copilot that drafts emails, a code assistant that changes files, an agent that queries systems, all act with the same level of access as the employee. The problem is that a malicious text hidden inside an email, a page or a document can give orders to that assistant, and it obeys: it is prompt injection, which OWASP ranks as the number one risk for AI applications. Keeping those assistants within limits, and blocking the malicious instruction before it is obeyed, is a protection no written policy can offer.

The owner approves the AI policy, feels the problem is solved, and the next day nothing has changed at the keyboard.

Writing the policy is the step almost every company takes, and it is the step that gives a false sense of security. The document is approved, circulates by email, everyone signs it, and the owner crosses the item off the list. But the policy is a promise, not a control: it depends on each employee remembering it, understanding it and resisting the rush, every day, on every paste. One lapse is enough for the leak to happen. What turns the promise into a control is the technical layer that acts on its own, at the moment of risk, and that also generates the proof that the policy is being enforced, for the owner to take to the board, the audit and the insurer.

Risk no. 1
is where malicious instruction injection sits on OWASP's list of AI application risks, and no policy on paper blocks it the instant it arrives

The four scenes share the same root: between the rule and the risk there is a gap that only a technical layer fills. Seeing and governing AI use is essential, and proving it in an audit too, but neither acts in the second the data leaves. It is that second Active AI Defense covers.

What Active AI Defense is

It is not one more policy on paper. It is the technical layer that makes the policy hold, at the moment of risk.

Active AI Defense is the technical enforcement layer for the use of artificial intelligence in your company. It acts where the use happens, on the browser and the device, and does three things at the right moment: it blocks, in real time, sensitive data from being sent to an AI; it controls access, allowing only the approved AI tools, with stronger identity; and it protects the AI assistants that run tasks, keeping them within limits and blocking malicious instructions. Zamak operates that layer as a managed service, on the defense arsenal your company already uses, and translates what it does into proof of enforcement for the business.

Block: stops sensitive data from leaving to AI, in real time

The instant someone tries to send a piece of sensitive data to an artificial intelligence, the layer recognizes the pattern of the data, a card number, a document, a snippet of proprietary code, and acts: it redacts the sensitive part or blocks the send, before it leaves. It is not a report of what has already leaked; it is the hand that holds the door at the exact moment. And it does so without slowing the team: what is risky is blocked, approved use stays allowed.

Control: gives access only to the approved AI tools, with stronger identity

Instead of the free-for-all of tools on personal accounts, a single, controlled path: the company starts to reach the approved AIs through a door that verifies who enters and logs what happens. Usage moves from anonymous and scattered to managed and traceable, and unsanctioned AI, shadow AI, loses the ground where it grew. It is the difference between not knowing who uses what and having, at any moment, the answer.

Protect: keeps the AI assistants that run tasks under control

The assistants that act, a productivity copilot, a code assistant, an agent that queries systems, gain power in the same measure that they gain risk. The layer keeps them within defined limits, with the least access needed and proper separation, and blocks the malicious instruction hidden in texts and documents before the assistant obeys it. It is the protection against the risk almost no one sees yet: not what the AI answers, but what it executes.

One point of honesty that makes a difference: this layer enforces, it does not replace governance. It acts at the keyboard, but delivers far more when there is a policy and a tool catalog saying what to block, which is AI Usage Governance, and when there is a compliance record proving to audits that the rule is cared for, which is Compliance Management. The three add up: one sees and governs, another proves, this one enforces. Active Defense does not make the company secure on its own; it closes the technical gap that the policy, by itself, does not close.

What is included

The technical layer that acts at the keyboard and the Zamak operation that makes it hold, together

Zamak deploys and operates the AI defense layer on the arsenal your company already uses, tunes what to block according to your policy, responds to the alerts and delivers the proof of enforcement in business language. You gain the control the policy promised, without building an AI security operation of your own.

The real-time enforcement layer

The control that acts on the browser and the device, the instant AI use happens.

  • Real-time blocking of sensitive data sent to artificial intelligences, recognizing the data at the moment of sending
  • Selective redaction of the sensitive part instead of a full block, so the work is not stopped, with guidance to the employee at the moment
  • Unified, controlled access only to the approved AI tools, with stronger identity verification
  • Protection of the AI assistants that run tasks: limits, least access and governance of the integrations they reach
  • Defense against malicious instruction injection (prompt injection) hidden in texts, pages and documents
  • Coverage on the browser and the device, where AI use actually happens, and not only at the network edge

The operation managed by Zamak

The layer that deploys, tunes, responds and turns technical enforcement into business proof.

  • Deployment on the endpoint defense and monitoring arsenal your company already uses, without replacing the antivirus or the EDR
  • Tuning of what to block and what to allow according to your AI usage policy, so the control reflects your rules
  • Monitoring and response to the alerts of leak attempts and malicious instructions, by Zamak's back office
  • An enforcement report under the Zamak brand, ready for the board, the audit and the insurer, without requiring technical knowledge
  • Proof that the policy is being enforced in practice, what governance defines and the audit demands, and the technical defense executes
  • A single point of contact, alongside your team, and the bridge to the governance and compliance layers whenever you want

Inside the layer

How enforcement happens, under the hood

For those who want the detail: this is how the layer acts at the moment of risk, from recognizing the data to controlling the assistants that execute, always on the arsenal Zamak already operates in your company.

Where enforcement acts: on the browser and the device

AI use happens in the browser and the device applications, and that is exactly where the layer needs to be, not at the network edge, where the content already goes encrypted and unreadable. The layer installs as a managed extension in the company's browsers and a lightweight component on the device, distributed centrally, without requiring the user to configure anything. This way, it sees the content before it leaves and can act at the moment of sending, something a network filter cannot do.

Real-time content blocking, with redaction and coaching

The core is the inspection of the content at the moment it would be sent to an AI. The layer recognizes patterns of sensitive data, personal data, card numbers, secrets and snippets of proprietary code, and, instead of simply blocking everything, applies the right response: it redacts only the sensitive part and lets the rest through, or blocks the send, according to the policy. And it guides the employee at that instant, explaining why it was stopped, which trades punishment for learning and keeps productivity standing. This is the function known as AI DLP: data loss prevention applied to the content sent to artificial intelligences.

Controlled access and stronger identity

The layer gives access only to the approved AI tools, through a path that verifies who the person is before allowing it. This takes AI out of the personal accounts and the unapproved extensions, where there is no trace or control, and brings it into a managed corporate access, in which the company knows who uses what and logs each access. Strengthening identity at this point is what ensures that only who should reaches the right tools, and it is the basis for attributing any use to a person.

Protection of the assistants that execute: limits and least access

An assistant that runs tasks acts with the access of whoever commands it, and that is where the greater risk lives. The layer applies the principle of least access: each assistant operates within defined limits, with the smallest permission needed, isolated from what it does not need to reach, and under governance of the integrations and tools it can trigger. This way, a mistake or a deviation by an assistant does not become a far-reaching incident, because its radius of action was already contained beforehand.

Defense against the malicious instruction (prompt injection)

Prompt injection is the number one risk for AI applications according to OWASP, and it works like this: a malicious text hidden inside an email, a web page or a document gives orders to the AI assistant, which obeys them as if they came from the user. The layer inspects what reaches the assistant and blocks those instructions before they are executed. It applies both to the ready-made assistants the team uses and to the AI applications the company itself builds, protected by an inspection layer between the application and the model.

It runs on the arsenal Zamak already operates, without rip-and-replace

Here is the practical advantage few offer: Active AI Defense does not require replacing your antivirus, your EDR or your monitoring. It adds to what you already have, within the same defense ecosystem Zamak deploys and operates, which means faster deployment, a single operation and no painful migration. A note of honesty: the layer reduces the risk in real time, but it is not a guarantee of zero incidents, and it acts on the pattern of the sensitive data and the destination, not on the employee's digital life.

The AI defense technology behind this layer comes from an international reference in security, the same security ecosystem Zamak deploys to protect endpoints, with tools certified in SOC 2 Type II, ISO 27001, HIPAA and PCI-DSS.

The layer acts without stopping; Zamak deploys on what you already have, tunes what to block according to your policy, responds to the alerts, delivers the proof of enforcement in business language and is your bridge to the governance and compliance layers when you want to take the next step.

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The comparison

Enforcing with a technical layer, having only the policy on paper, or trusting good will

There are three ways to deal with AI use in your company: a technical layer that enforces the policy at the moment of risk; having only the written policy, which says what to do but does not act; or trusting that each employee will remember the rule and resist the rush, every day. The comparison is between ways of making the policy hold in practice. The Zamak column lists only what Zamak delivers to the client.

What changes in practice
The Zamak choice
Active AI Defense
Only the policy on paperTrusting good will
Sensitive data is stopped from leaving to AIYes, blocked or redacted in real timeNo; the sheet does not act at the keyboardNo; it depends on each one remembering
The assistant that executes stays within limitsYes, least access and isolationBeyond the reach of a documentNo; it acts with full access
The malicious instruction is blocked before it is obeyedYes, inspection of what reaches the assistantNot covered by the policyNo one notices until the damage
Access to AIs is controlled and with identityYes, only the approved tools, with a traceThe rule asks, but does not enforceEveryone uses whatever they want, with no trace
Proof that the policy was enforcedYes, evidence of enforcement for audit and insurerOnly the document, with no proof of executionNothing to show
Effort to have thisA predictable subscription; runs on the arsenal already deployedA meeting and a PDF, with no executionLooks free, until the leak

Sensitive data is stopped from leaving to AI

The Zamak choice

Active AI Defense

Yes, blocked or redacted in real time

Only the policy on paper

No; the sheet does not act at the keyboard

Trusting good will

No; it depends on each one remembering

The assistant that executes stays within limits

The Zamak choice

Active AI Defense

Yes, least access and isolation

Only the policy on paper

Beyond the reach of a document

Trusting good will

No; it acts with full access

The malicious instruction is blocked before it is obeyed

The Zamak choice

Active AI Defense

Yes, inspection of what reaches the assistant

Only the policy on paper

Not covered by the policy

Trusting good will

No one notices until the damage

Access to AIs is controlled and with identity

The Zamak choice

Active AI Defense

Yes, only the approved tools, with a trace

Only the policy on paper

The rule asks, but does not enforce

Trusting good will

Everyone uses whatever they want, with no trace

Proof that the policy was enforced

The Zamak choice

Active AI Defense

Yes, evidence of enforcement for audit and insurer

Only the policy on paper

Only the document, with no proof of execution

Trusting good will

Nothing to show

Effort to have this

The Zamak choice

Active AI Defense

A predictable subscription; runs on the arsenal already deployed

Only the policy on paper

A meeting and a PDF, with no execution

Trusting good will

Looks free, until the leak

A comparison between ways of making the AI policy hold (a technical enforcement layer, only the written policy and no control). The Zamak column lists only what Zamak delivers to the client. The policy and governance are necessary and remain: they say what to block, and Active Defense is what enforces it.

Risk, impact and response

For every risk in AI use, a technical response that acts at the right instant

Risk in AI useWhat it costs the businessHow Active Defense responds
An employee pastes sensitive data into a public AIAn immediate, irreversible leak, with legal and reputational exposureReal-time block or redaction, at the moment of sending
A hidden malicious instruction hijacks an AI assistantUnauthorized action executed with the user's accessInspection that blocks the malicious instruction before it is obeyed
An assistant runs tasks with unrestricted accessA single mistake becomes a far-reaching incidentLeast access, limits, isolation and governance of the integrations
Personal, uncontrolled access to AI toolsShadow AI with no trace of who accessed what, and data training a third-party modelUnified, controlled access, only to the approved tools, with stronger identity

An employee pastes sensitive data into a public AI

An immediate, irreversible leak, with legal and reputational exposure

How Active Defense responds

Real-time block or redaction, at the moment of sending

A hidden malicious instruction hijacks an AI assistant

Unauthorized action executed with the user's access

How Active Defense responds

Inspection that blocks the malicious instruction before it is obeyed

An assistant runs tasks with unrestricted access

A single mistake becomes a far-reaching incident

How Active Defense responds

Least access, limits, isolation and governance of the integrations

Personal, uncontrolled access to AI tools

Shadow AI with no trace of who accessed what, and data training a third-party model

How Active Defense responds

Unified, controlled access, only to the approved tools, with stronger identity

In 2025, 16% of data breaches involved attackers using AI, according to IBM. Active Defense reduces the risk in real time and generates the proof of enforcement, alongside the governance and compliance layers.

For every decision maker

What making the AI policy hold means for whoever decides

Turning the AI policy from a sheet of rules into a control that acts at the keyboard solves a different pain for each role in the company.

Owner and founder

The rule you approved finally acts on its own, and you have the proof

You approved an AI usage policy and felt you had solved it, but deep down you know it depends on each employee remembering it, every day. Active Defense takes that weight off everyone's shoulders: the control acts on its own at the moment of risk, without relying on anyone's memory or good will. And, what matters most to you, it generates the evidence that the policy is being enforced in practice, the document you take to the board, the audit and the insurer when they ask how the company protects data in the face of AI. It is the difference between hoping it works and being able to demonstrate that it does.

Executives, management and compliance

The proof that the policy is enforced, not just that it exists

An auditor, a client or an insurer does not ask whether you have an AI policy; it asks whether it is being enforced. Having the document is not enough, you have to show that the rule acts in practice. Active Defense delivers that evidence: the record that risky sends were blocked, that access to AIs is controlled and that assistants are within limits. It is what turns AI compliance from a promise into a demonstrable fact, and what supports the answer when someone demands proof, and not intention.

IT and security leader

A reinforcement that runs on what your team already knows, without one more disconnected tool

You know the AI policy needs technical teeth, but building and operating one more security platform, with one more console and one more vendor, is a weight your team does not have time to carry. Active Defense runs on the same endpoint defense and monitoring arsenal you already use, without replacing the antivirus or the EDR, and it is operated by Zamak as a reinforcement of your team, never in its place. You gain the technical enforcement that was missing and the power to make the policy hold, without inheriting one more disconnected tool to manage.

IT partner

An AI defense for your offer, operated behind the scenes

Add to your offer a layer of AI defense that acts at the client's keyboard, without building an AI security operation of your own. Zamak deploys and operates the technical enforcement behind the scenes, on the already installed arsenal, and delivers the result under your brand or ours; you drive the conversation, and the relationship with the client stays yours. It is also the entry point for larger governance and cybersecurity projects, because AI defense is the pain of the moment and opens the conversation.

Why Zamak

Enforcing requires operating the technology every day, not just installing it

Zamak Technologies does not hand over a tool for you to configure and forget. It deploys the AI defense layer on the arsenal your company already uses, tunes what to block according to your policy, responds to the alerts of leak attempts and malicious instructions, and translates all of it into proof of enforcement for the business. It is enforcement operated, not a promise of a feature: what turns a policy on paper into control you can demonstrate to the board, the audit and the insurer.

It is years of experience caring for the IT of companies, with specialists who serve in Portuguese, English and Spanish. It is your reinforcement to make the AI policy hold at the keyboard, on the same arsenal that already protects your operation, and your point of contact, alongside your team, never in its place.

Microsoft Solutions Partner · Addee (N-able) Elite Group · Great Place to Work

AI defense layer backed by an international reference in security, with tools certified in SOC 2 Type II, ISO 27001, HIPAA and PCI-DSS.

Frequently asked questions

What companies ask before signing up

One sees and governs; the other enforces. AI Usage Governance shows which AI tools each area uses, sets the policy, the catalog of approved tools and what can or cannot go to an AI: it is the brain that decides the rules. Active AI Defense is the hand that executes those rules at the keyboard, in real time: it blocks the sending of sensitive data, controls access and protects assistants. Governance without defense is a rule with no one to enforce it; defense without governance is a force with no direction. Many companies start with governance, to know what to protect, and add Active Defense to actually protect it.
No; it was made for the opposite. The layer blocks what is risky and allows approved use: the employee keeps using the permitted AI tools to work better, and what is stopped is the sending of sensitive data and malicious action. Instead of simply blocking everything, it usually redacts only the sensitive part and lets the rest through, and it also guides the person at that instant, explaining why it was contained. The result is a team that uses AI safely, not a team that is stuck.
No, and that is one of the biggest advantages. Active AI Defense was designed to add to your current defenses, not to replace them. It runs within the same endpoint defense and monitoring ecosystem Zamak already operates in your company, which means faster deployment, a single operation and no painful migration of replacing everything. You add an AI layer on top of what already protects your operation, instead of starting from scratch with one more vendor.
The layer acts on the pattern of the sensitive data and on the destination, not on the employee's digital life. It recognizes when a snippet looks like a card number, a personal document or a secret, and checks where it is going; the focus is the company data that must not leave and the action that must not happen, under the policy you defined. It is not surveillance of what the person writes day to day: it is a precise control, aimed at the risk, that even redacts only the sensitive part instead of exposing the content. Everything is agreed and transparent with the company.
Yes, and that is one of the most important points. The assistants that execute, a productivity copilot, a code assistant, an agent that queries systems, act with the employee's access, so their risk is greater than that of an AI that only answers. The layer keeps them under the principle of least access, with limits and isolation, governs the integrations they can trigger and blocks the injection of malicious instructions, the number one risk for AI applications according to OWASP, before the assistant obeys it. It applies to the ready-made assistants the team uses and to the AI applications the company itself builds.
Yes. Every company with people using AI to work runs the risk of leaking data through an AI, and today that is practically every company, of any size. The layer adapts to your environment, from browser to device, with no minimum volume required, and the scope is sized to your operation. In a smaller company, with fewer people watching, the automatic control makes an even bigger difference, because it does not depend on there being a security team watching every use.
It is not mandatory, but the technical defense delivers more when there is a policy and visibility defining what to block. Without a clear rule, the layer still protects against the obvious risks, like the sending of card data and the malicious instruction; with a policy and a catalog of approved tools behind it, it starts to enforce exactly your rules. Many companies start with the free AI exposure self-check, move to governance to define the rules and add Active Defense to execute them. Zamak guides that path at the pace that makes sense for you.
It is the technical layer that enforces, in real time, a company's artificial intelligence usage policy. While governance sets the rules and compliance proves they exist, active defense is what acts at the moment of use: it stops sensitive data from being sent to an AI, controls access to the approved tools and protects the AI assistants that run tasks against hijacking and malicious instructions, like prompt injection. It operates on the browser and the device, where use really happens, and turns a written policy into a control that acts on its own, with proof that it was enforced. It is the difference between saying what is not allowed and actually stopping it from happening.
Blocking on the firewall helps, but it does not solve it, for two reasons. First, it acts at the level of the site address, not the content: it can block a whole address, but not tell safe use from risky use inside an approved tool, so it either allows everything or forbids everything. Second, at the network point the content already travels encrypted and unreadable, and AI today shows up embedded in the applications the company uses and wants to keep, from the text editor to the email system. Active Defense acts on the browser and the device, where it sees the content before it leaves and can redact only the sensitive part, instead of blocking the whole tool. One complements the other.
Prompt injection is a malicious instruction hidden inside an email, a page or a document, which gives orders to an AI assistant, and it obeys them as if they came from the user. OWASP, the world's leading reference in application security, ranks prompt injection as the number one risk for AI applications in 2025. It is dangerous because the assistants that run tasks act with the employee's access: a hidden order can make them leak data or perform an improper action. Active AI Defense protects those assistants by keeping them at least access and inspecting what reaches them, to block the malicious instruction before it is obeyed.
Active Defense acts on the browser and the device, at the moment of sending. It recognizes when a snippet looks like a card number, a personal document or a secret, checks the destination and, instead of blocking everything, usually hides only the sensitive part and lets the rest through, explaining to the person why it was contained. This way the employee keeps using the approved AI, and the data that must not leave does not leave. According to Cyberhaven, around three in four AI users paste content straight into the assistants, and one in five of those pastes contains personal or card data, which shows why relying on the rule alone is not enough.

Let us talk

As you read this, someone in your company may be pasting a critical piece of data into an AI, and nothing is stopping it.

Malicious instruction injection is the number one risk for AI applications according to OWASP, and 16% of data breaches in 2025 already involved attackers using AI, according to IBM. A policy on paper does not act the instant the data leaves; Active AI Defense does. Talk to Zamak and turn your AI policy into a control that stops, in real time, the leak and the malicious action, running on the arsenal your company already uses, with the proof of enforcement ready for the board, the audit and the insurer.

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