The adoption of AI in companies is growing at an accelerated pace. According to a McKinsey survey, AI usage increased from 55% in 2023 to 72% in 2024. In the case of generative AI, the growth was even more significant: from 33% to 65% over the same period. However, with this rapid expansion, concerns about the risks of these models are also rising.

Unlike other AI models, generative AI faces specific entry barriers. The risks associated with these models go beyond security issues. According to IBM’s Global AI Adoption Index, the main concerns for companies include data privacy (57%) and lack of trust and transparency (43%), in addition to ethical and reputational risks. These factors are the biggest inhibitors of adoption, especially among organizations that have not yet explored this technology.

The risks go far beyond security!

Security

Your GenAI might seem secure… until someone figures out how to extract sensitive data with a few clever prompts

Data Privacy

It may seem compliant, but do you really know where personal data is going?

Ethics

Your GenAI may seem impartial, but who ensures it’s not reinforcing biases or being manipulated?

Copyrights

It may generate original responses, but do you know if its sources include copyrighted material?

Is your GenAI model truly reliable?

AI Risk Inspector is the ultimate solution for identifying and mitigating risks in Generative AI models. Our automated technology assesses security, privacy, ethics, copyright, and reputation, ensuring compliance and transparency.

Through a detailed analysis of training data, model behavior, and decision logic, we detect vulnerabilities, ethical dilemmas, and regulatory gaps before they become a problem.

Ideal for developers, auditors, and AI governance teams, AI Risk Inspector ensures your model aligns with global best practices.

Does your model inpire trust or raise doubts in the market?

Find out now which risks will be tested!

Security

Know which security risks your GenAI will be tested for
Your GenAI’s security testing will assess jailbreak resistance, malware risks, susceptibility to phishing, filter evasion, and adversarial attacks to ensure robust protection.

Data Privacy

Know which data privacy risks your GenAI will be tested for
Your GenAI’s privacy testing will assess personal data leakage, data memorization, exfiltration and security bypass risks, and susceptibility to social engineering and identity-based attacks to ensure compliance and data protection.

Ethics

Know which ethics risks your GenAI will be tested for
Your GenAI’s ethical risk assessment will cover bias and discrimination, information security and integrity, harmful content generation, and exploitation of ethical vulnerabilities to ensure responsible and fair AI use.

Copyrights

Know which copyrights risks your GenAI will be tested for
Your GenAI’s copyright risk assessment will evaluate protected content leakage, memorization of copyrighted material, and generation of potentially infringing content to ensure compliance with intellectual property laws.

Evaluate your GenAI with precision, no code access needed.

Secure, reliable, and non-intrusive!

Real-World Implementation Examples

How can I check if my model was approved?

Discover more about our tests and find the perfect fit for you!

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