AI Security · Governance · Red Teaming

Move faster with artificial intelligence. Without giving up control.

Security by design for LLMs, agents and automations. Protect data, prompts and decisions without turning governance into a barrier to innovation.

Explore solutions

Trust architecture Protection in every interaction

Context Data & users

Cyberout AI Security Layer

Intelligence LLMs & agents

Prompt injection Data leakage Unauthorized access Unsafe responses Compliance

Business risks

Real problems in AI adoption do not show up only in code.

They arise when data, models and decisions move ahead without proportional controls. The result can affect privacy, operations, reputation and compliance.

The critical point
Moving fast does not require giving up visibility, accountability and control.

See our approach

Data & privacy

Sensitive information enters tools without control

Prompts and corporate files can be sent to public services without policy, traceability or adequate protection.

Critical

Architecture & access

LLMs and agents gain more access than they need

Integrations with internal systems are deployed without validating permissions, isolation or abuse scenarios.

High

Applied security

Prompts and workflows are not tested against attacks

Prompt injection, context manipulation and unsafe responses stay invisible until they cause impact.

High

Operations & monitoring

Errors and hallucinations reach operations unsupervised

Automated decisions are executed without observability, blocking criteria or human intervention.

Critical

Governance & compliance

No one can explain who decided — or why

Without an inventory, owners and evidence, demonstrating compliance and accountability becomes an additional risk.

High

Our secure AI services

Practical, secure solutions aligned with international best practices for enterprise AI.

Development with LLMs

Secure copilots, assistants and automations
Integration with OpenAI, Claude, Mistral and Llama
Validated prompt engineering

AI security assessment

Offensive testing: jailbreak, prompt injection
Adversarial simulations (Red Team)
Access audit and logging

Secure AI implementation

Architecture with RAG and access control
Secure deployment (on-premises, AWS, Azure)
Retention and protection of sensitive data

Secure model training

Fine-tuning with internal data
Privacy and overfitting analysis
Confidentiality and active protection

Regulatory risk mitigation

Compliance with LGPD, NIST AI RMF, EU AI Act
Legal risk mapping
Documentation for audits and due diligence

Methodology for secure AI

Inspired by Red Team and Secure Design practices. Technical, auditable and adaptable to your business.

Assessment

We map current AI use, internal workflows and critical points to understand risks and opportunities.

Risk assessment

In-depth analysis of prompts, LLMs, privacy, exposure and potential leaks.

Secure design

We design scalable solutions with security built in, based on technical frameworks.

Offensive testing

We simulate real attacks: prompt injection, jailbreaks, evasion and context abuse.

Documentation and support

Clear, traceable reports prepared for audits, with ongoing technical guidance.

Security by design as a differentiator

We apply controls from the outset. Secure, auditable AI aligned with global standards.

Integration with corporate IAM

Centralized access control with Keycloak, Okta, Azure AD and other identity providers.

Logs and traceability per call

Each AI call can be audited with logs and technical metadata aligned with compliance requirements.

Automated prompt injection testing

We run automated simulations to continuously validate the security of prompts and workflows.

Alignment with AI regulators

Technical and legal alignment with LGPD, NIST AI RMF, the EU AI Act and future regulations.

Popular use cases with secure AI

Real applications focused on productivity, traceability and data protection.

Internal assistant for technical support

Automated answers to frequent questions, manuals and internal processes, with logs and access control.

Email and document classification

Automated organization of messages and files based on context, priority and content type.

AI-assisted lead triage

LLMs identify lead intent, profile and urgency, supporting commercial prioritization and qualification.

AI for legal support

Generation of contract summaries, alerts on critical clauses and risk analysis with technical explanations.