AI Security

Do you know what your employees are sharing on ChatGPT?

Governance and protection for safe AI use in your company. Prevent leakage of confidential data, intellectual property, and customer information.

See how it works

Critical Risks

9-13

Weeks

Protection Layers

Data Leaking to LLMs

Employees paste source code, contracts, and customer data into ChatGPT without realizing the risk.

Shadow AI

Dozens of AI tools being used without approval, without control, without governance.

IP at Risk

Trade secrets and proprietary code training third-party models.

Compliance Violation

Customer personal data in prompts may constitute LGPD/GDPR violation.

AI arrived before the rules. And so did the risks.

78% of Brazilian companies already use some form of generative AI. Most have no usage policy, don't monitor what's being shared, and don't know how many tools are being used. Meanwhile, confidential data leaks with every prompt.

A single employee copying your main product's source code to ChatGPT can expose your intellectual property. A prompt with customer data may constitute LGPD violation. The risk is real and it's happening now.

The question isn't whether your company uses AI. It's whether you have control over how it's being used.

Risks Addressed

The 6 risks you need to control

Data Leakage

Trade secrets exposure, LGPD violation

Shadow AI

Loss of control, compliance issues

Algorithmic Bias

Discrimination, lawsuits

Hallucination

Wrong decisions, reputational damage

Intellectual Property

IP loss, litigation

AI Supply Chain

Critical dependency, business continuity

The Solution

Use AI with confidence. Without giving up control.

Governance, policies, and technical controls to leverage AI without exposing your company.

Policies and Committees

Governance

Clear AI usage policy, ethics committee, catalog of approved tools.

Clear rules for the entire company

Layered Controls

Technical Protection

AI Gateway, integrated DLP, sensitive data sanitization before sending.

Automatic leak blocking

Full Visibility

Monitoring

Inventory of AI tools in use, prompt auditing, shadow AI detection.

Know exactly what's happening

Security Culture

Awareness

Specific training for safe AI use, practical guidelines for daily work.

Aware and capable team

Layered Protection

5 control layers for every AI interaction

Network

AI Gateway/Proxy

Intercepts and analyzes requests to public LLMs

Endpoint

Integrated DLP

Detects sensitive data before sending

Application

Sanitization

Removes PII and secrets before sending to the model

Process

Usage Policy

Clear rules about what can and cannot be entered

People

Training

Awareness about risks and best practices

Methodology

From assessment to secure operation in 4 phases

Average time: 9 to 13 weeks

Discovery

2-3 weeks

Inventory of AI usage in the company, shadow AI identification, risk analysis by area.

AI risk map

Governance

3-4 weeks

AI usage policy, ethics committee formation, approved tools catalog definition.

Policy and governance implemented

Protection

4-6 weeks

AI Gateway implementation, DLP for LLMs, access controls, data sanitization.

Active technical controls

Operation

Ongoing

Usage monitoring, prompt auditing, new tool detection, continuous improvement.

Continuous protection

Who It's For

We built this for those who:

Know employees use ChatGPT, but don't know what they share

Discovered AI tools being used without approval

Need to demonstrate AI control to clients or regulators

Want to enable AI use without exposing the company to risks

Sectors with highest exposure:

Technology

Source code, architecture, intellectual property

Financial

Customer data, strategies, central bank compliance

Legal

Contracts, cases, attorney-client privilege

Healthcare

Medical records, sensitive data, LGPD compliance

FAQ

Frequently Asked Questions

Do you know what's being shared with AI right now?

Discover your AI risks before they become problems. No-commitment assessment.