The proliferation of Artificial Intelligence (AI) agents and Large Language Models (LLMs) within the enterprise has created a paradigm shift in data security. The traditional concept of a data perimeter, once defined by networks and endpoints, has been fundamentally redefined. AI agents are not merely passive tools; they are active participants in business workflows, capable of interpreting natural language, reasoning over vast stores of proprietary knowledge, and executing actions with significant autonomy. This transformation introduces a new class of data loss risks that legacy security solutions, particularly traditional firewalls and traditional Data Loss Prevention (DLP), are ill-equipped to handle.
The central challenge stems from the ease with which employees can inadvertently or maliciously expose confidential information—including financial records, intellectual property (IP), and personally identifiable information (PII)—through interactions with these AI systems. The consequences are severe, ranging from direct financial losses, which are demonstrably higher for AI-related breaches, to significant regulatory penalties under frameworks like GDPR and HIPAA, loss of competitive advantage from stolen IP, and irreparable reputational damage.
A new era of cybersecurity demands more than rules and firewalls. Enterprises want to boost productivity with Generative AI and protect sensitive customer and company data at the same time. ZerosOne delivers autonomous, adaptive defense — powered by AI, for AI.
When employees use public AI models—such as open-access chatbots or generative tools—to streamline tasks or generate content, they may unknowingly expose sensitive company data to external systems. These models often retain input data for training or analysis, creating a serious risk of leakage or unauthorized access. Confidential business strategies, proprietary algorithms, and internal communications can be inadvertently shared, compromising competitive advantage. Even more critically, customer private data—such as personal identifiers, financial records, or health information—can be exposed, violating privacy regulations and eroding trust. Without strict controls and AI-native security measures, the convenience of public AI tools can quickly become a gateway to data breaches and reputational damage. ZerosOne secures your data in real time. No leakage. No guesswork. Just intelligent protection.
| Feature | Description |
|---|---|
| AI-Native Defense | Designed specifically for AI systems, not retrofitted legacy tools. |
| Continuous Learning | A real time evolving engine ensures full coverage of your data automatically. |
| Seamless Integration | Plug-and-play with major AI frameworks and cloud platforms. |
| Autonomous Threat Detection | Identifies anomalies without human intervention. |
| Zero Trust Architecture | Every interaction verified. Every data protected. |
Protect company confidential information and customer private data
Complete view of employee AI usage ensures no shadow AI
Maintain data security for regulatory compliances for HIPAA, GDPR, PCI DSS and more
Detect fraud and adversarial manipulation instantly
Join the companies redefining trust in autonomy.
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