ZeroTrusted

ZeroTrusted is a platform specializing in AI security and governance, specifically designed to mitigate the risks associated with using advanced models in corporate environments. Its architecture is built on Zero Trust principles, allowing for rigorous control over the data, models, and AI agents operating within an organization. This tool acts as an intermediate protection layer that ensures interactions with technology are secure, private, and transparent.

ZeroTrusted.ai operates through an AI Gateway system that functions as an intelligent firewall. This technology constantly monitors the flow of information between users and large language models (LLMs), agents, or connected APIs. By implementing this approach, the tool can detect and block malicious inputs, adversarial attacks, and the use of shadow AI (AI tools unauthorized by the IT department), protecting the company’s critical infrastructure starting from each employee's computer.

Its core capabilities include features focused on operational and legal integrity:

• Sensitive Data Protection: The platform uses encryption and anonymization techniques to prevent data leakage. This ensures that confidential information is not leaked to AI models without authorization.
• AI HealthCheck and Monitoring: It offers continuous real-time monitoring to identify anomalies such as drift, vulnerabilities, or hallucinations, ensuring that generated responses are reliable.
• Auditing and Compliance: It generates detailed records, logs, and traceability evidence that facilitate compliance with international security standards such as GDPR, HIPAA, PCI DSS, and NIST.

ZeroTrusted is essential for companies, startups, and cybersecurity teams that handle critical information and want to integrate generative AI without exposing themselves to vulnerabilities. Its ability to audit every interaction and automate risk management makes it a robust solution for compliance officers. By centralizing visibility across the entire AI ecosystem, the tool allows organizations to scale their use of agents and models with the confidence that their digital assets remain protected under a strict data governance policy.