Security and risk management
Jaibaná IT product
AI Audit
We identify the risks of your intelligent solutions so you can operate with greater security and confidence.
We evaluate artificial intelligence solutions through a structured methodology that identifies risks, analyzes controls, and generates technical recommendations to strengthen their security, reliability, traceability, and responsible use.
Governance and responsible use
Findings and recommendations
Service details
Assess your AI risks before they become problems
At Jaibaná IT we help organizations evaluate the security, reliability, behavior, and governance of their artificial intelligence solutions.
Through a structured audit methodology, we analyze architectures, intelligent agents, language models, and integrations to identify vulnerabilities, validate controls, and establish improvement opportunities backed by technical evidence.
The question is not only whether your AI works, but whether you can demonstrate that it works in a secure, controlled, and reliable way.
How secure and reliable is your organization’s AI?
AI adoption is transforming business processes. However, deploying an AI agent or model also introduces new challenges around security, privacy, traceability, and control.
Risk is not always visible
A solution may respond correctly under normal conditions and still present vulnerabilities to malicious instructions, disclose sensitive information, execute unauthorized actions, or generate incorrect responses.
An actionable roadmap
Our audit helps identify these risks, evaluate existing protection mechanisms, and build a roadmap to strengthen the solution before and after it goes into production.
An AI audit reduces uncertainty and strengthens controls, but it does not completely eliminate every risk of a solution. The goal is to provide clear evidence, actionable findings, and a roadmap for responsible and sustainable adoption.
Request an evaluationWhat we evaluate
What do we evaluate in your AI solution?
We evaluate the critical aspects of artificial intelligence solutions to identify risks, strengthen their controls, and enable safer, more reliable adoption.
AI security
We identify vulnerabilities and evaluate the controls that protect models, agents, and integrations.
Reliability and behavior
We analyze the accuracy, consistency, and behavior of AI solutions across different scenarios.
Privacy and data protection
We evaluate the mechanisms that protect sensitive information and control data access.
Governance and responsible AI
We review transparency, traceability, risk management, and responsible-use aspects.
Architecture and operation
We evaluate the architecture, resilience, observability, and operational efficiency of the solution.
Our methodology
From technical evaluation to confident decisions.
We use a structured methodology that combines specialized expertise, risk analysis, and technical evidence to identify improvement opportunities in artificial intelligence solutions.
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We understand
We analyze the context of the solution and its main risks.
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We evaluate
We apply technical criteria and tests according to the characteristics of the system.
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We recommend
We deliver findings and prioritized actions to strengthen the solution.
Deliverables
From findings to concrete decisions.
Our audit is designed to turn technical results into useful information for technology, security, compliance, and leadership teams.
Executive report
Overview of the risks, controls, and main improvement opportunities.
Technical report
Detailed findings, evidence, affected components, and evaluation criteria.
Risk and findings matrix
Classification and prioritization of the identified aspects.
Remediation recommendations
Technical and organizational actions to reduce risks.
Improvement roadmap
Guidance to progressively strengthen the AI solution.
Specific deliverables are defined according to the scope of the contracted audit.
Who is it designed for?
AI Audit for organizations that need to move forward with confidence.
Companies deploying AI
Organizations that develop or incorporate assistants and agents into their processes.
Technology and security teams
Those responsible for validating architectures, integrations, and controls of intelligent applications.
Regulated sectors
Organizations with information protection, traceability, and risk management requirements.
Innovation teams
Areas that need to evaluate solutions before scaling or moving them into production.
The Jaibaná IT difference
Technical expertise to evaluate AI beyond its responses.
At Jaibaná IT we combine experience in software architecture, cloud solutions, security, and artificial intelligence to analyze systems from a comprehensive perspective.
Our approach considers not only the behavior of the models, but also the architecture that supports them, the integrations with enterprise systems, the control mechanisms, and the traceability of their operations.
Comprehensive view
We evaluate models, agents, applications, architecture, and integrations.
Evidence-based evaluation
We document technical results and differentiate verified controls from aspects pending validation.
Practical approach
We turn findings into recommendations and improvement actions.
AI and cloud expertise
We apply knowledge of architectures, intelligent agents, security, and cloud infrastructure.
Trust in AI is built with evidence.
Deploying artificial intelligence is only the beginning. Evaluating its risks, understanding its behavior, and strengthening its controls is essential for responsible and sustainable adoption.
At Jaibaná IT we combine experience in software architecture, cloud, security, and artificial intelligence to support organizations through this process.
Do you know what risks exist in your AI solution?
Request an AI audit