Artificial intelligence has become a key tool for boosting productivity, optimizing processes, and accelerating innovation in companies. However, with its widespread adoption come new cybersecurity risks. Language models, chatbots, and intelligent assistants can fall victim to prompt injections, data leaks, or result manipulation if not properly managed.
In this context, conducting an AI security audit is not a luxury—it's a strategic necessity for any organization using this technology. At TecnetOne, we’ll explain what it is, how it works, and its main benefits.
Real Risks Behind Artificial Intelligence
Attacks on AI systems are becoming increasingly common and sophisticated. In 2025, several studies revealed that even visual language models (VLMs) used in medical settings could be manipulated through malicious prompt injections, leading to incorrect diagnoses or exposure of sensitive data.
A similar threat exists in enterprise platforms that integrate AI—such as Copilot Studio or ChatGPT connected to Google Drive or SharePoint. Recent research shows attackers can insert hidden commands in documents or links, causing the AI to reveal API keys or internal data without the user noticing.
These incidents highlight a critical truth: AI is not invulnerable. On the contrary, its integration with various services and its ability to process sensitive information make it an appealing target for cybercriminals.
Main Vulnerabilities in AI Systems
The OWASP Foundation, a global authority in cybersecurity standards, has identified the top 10 threats facing large language model (LLM) applications. Key vulnerabilities include:
- Prompt Injection – Manipulating the AI's input to extract confidential data or force harmful responses.
- Sensitive Data Leakage – Unintended exposure of private or strategic business information.
- Data Poisoning – Tampering with training datasets to introduce bias or unwanted behavior.
- Supply Chain Weaknesses – Vulnerabilities in third-party libraries or dependencies.
- Output Handling Failures – Letting the AI generate dangerous or executable code without validation.
- Excessive Autonomy – Over-permissive AI systems acting without proper controls.
- System Prompt Leakage – Exposure of internal instructions that include confidential data.
- Disinformation & Output Manipulation – Biased or false outputs impacting decisions or reputation.
- Resource Consumption (DoS) – AI systems overloaded with excessive requests.
Each of these poses real risks to the integrity, availability, and confidentiality of corporate data.
Read more: AI Has Become the Biggest Data Leak Channel in Enterprises
What Is an AI Security Audit?
An AI security audit is a comprehensive process designed to evaluate, test, and strengthen the protection of AI-based systems.
At TecnetOne, an audit includes five core stages:
- Initial System Assessment – Review the model architecture, data sources, training process, and tool integrations to identify critical or sensitive security points.
- AI Pentesting – Simulate real-world attacks (e.g., prompt injection, data extraction) to test system resilience.
- Configuration and Dependency Analysis – Audit third-party libraries and modules to uncover supply chain vulnerabilities.
- Technical Report and Mitigation Plan – Document discovered flaws, their potential impact, and recommend actions prioritized by risk level.
- Ongoing Support – Post-audit guidance to assist with updates, staff training, and ongoing system validation.
The outcome is a more resilient and trusted AI system aligned with international security standards.
Objectives of an AI Security Audit
This type of audit helps organizations anticipate attacks and ensure safe AI usage. The main goals are:
- Identify and fix vulnerabilities before they’re exploited
- Protect confidential data of clients, staff, and partners
- Prevent service outages or system malfunctions
- Ensure compliance with regulations like the EU AI Act, DORA, or NIS2
- Minimize financial and reputational damage from security incidents
In short, it transforms AI from a potential weak point into a trusted strategic asset.
Key Benefits for Your Organization
Auditing your AI system with TecnetOne offers measurable benefits across several areas:
- Sensitive Data Protection – Prevent leaks of financial, legal, or strategic information
- Advanced Threat Detection – Identify prompt injections, backdoors, and hidden biases
- Regulatory Compliance – Ensure your system follows data protection and cybersecurity laws
- Operational Risk Reduction – Prevent costly disruptions and system failures
- Enhanced Trust and Reputation – Show customers and stakeholders your commitment to secure, responsible AI
- Ongoing Resilience – Post-audit support ensures your AI stays protected from new threats
Beyond technical security, these audits foster a culture of cybersecurity—teaching teams how to use AI responsibly and recognize warning signs.
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AI as a Driver of Productivity—and Responsibility
Generative AI is transforming how businesses operate: automating tasks, accelerating decisions, and improving efficiency. But its value depends on its security.
A compromised AI system can leak data, alter workflows, or be manipulated to cause financial and legal harm. That’s why AI security must be part of your company’s overall cybersecurity strategy. Implementation alone isn't enough—continuous auditing and improvement are essential.
Conclusion: Auditing AI Today Protects Your Business Tomorrow
AI security audits aren’t just preventive—they’re a smart investment. They help you get ahead of threats, stay compliant, and build digital trust.
At TecnetOne, we help organizations evaluate their AI systems, uncover vulnerabilities, and build effective mitigation strategies. Our goal is to help you harness the full potential of AI—safely, ethically, and reliably.
Remember: Prevention is the best defense. Auditing your AI today could save you from a costly breach tomorrow.
