AI Security
At SECRETO, we offer comprehensive solutions to protect your organization's valuable digital assets, build a resilient defense against cyber threats, and ensure uninterrupted business continuity.
It makes the rapidly expanding use of artificial intelligence safe and controlled. By monitoring access to AI applications, data usage, and model interactions, risky behaviors are prevented.
Thanks to AI guardrails and red teaming capabilities, organizations can confidently use both their own developed and third-party AI tools. This approach minimizes the risks of data leakage and misuse in the use of generative artificial intelligence.
Zscaler AI Asset Management enables organizations to gain visibility and control over AI applications, services, and related assets used within their structure. Knowing which AI tools are being used is the first step in risk management. By providing this visibility, Zscaler reduces the use of shadow AI and offers security teams centralized management capabilities.
Zscaler AI Access Security controls user access to AI applications based on policies and restricts the transfer of sensitive data to AI tools. It is a crucial security layer, particularly in generative AI use, to reduce data leakage and non-compliant use cases. Zscaler's Zero Trust approach is thus applied to AI access as well.
Zscaler AI Red Teaming helps proactively test for vulnerabilities and exploitation scenarios in AI systems. This allows organizations to identify potential risks posed by AI-based applications at an earlier stage. It's a valuable capability for organizations that want to design their AI processes securely from the outset, rather than adding security later.
Zscaler Web and Email DLP offers advanced data loss prevention capabilities to prevent sensitive data from leaving the organization via web and email channels. Regulatory compliance and data protection are ensured together through content control, data classification, and policy-based controls. Thanks to Zscaler's inline control architecture, data movements are managed centrally, independently of the user.
Xage Unified Zero Trust for AI offers a Zero Trust security model for AI systems and data flows. Access to AI applications, data usage, and model interactions are controlled based on identity and policy. This prevents the leakage of sensitive data through AI systems, ensuring secure and controlled AI usage.
Our solutions
