Delivering AI Securely
Advanced Data Security Platform
Date: March 23-26, 2026
Location: Moscone Center, San Francisco, CA
Booth: S-3202
Join us at our booth and let us help you find the perfect fit for your business needs.
AI innovation depends on data. But once sensitive data leaves a controlled system through external collaboration, AI prompts, file sharing, or cloud workflows, traditional security breaks down.
Fasoo takes a different approach.
We secure the data itself.
Our data security platform applies persistent protection, continuous visibility, and policy-based control directly to the files, so your data stays protected wherever it travels, and however AI is used.
You’ll benefit most if you are:
CISOs & Security Leaders responsible for secure AI adoption to protect IP, sensitive business data, and regulated information without slowing innovation.
Data Security & Risk Management Teams looking to move beyond system-centric controls and gain continuous visibility, policy enforcement, and auditability across the full data lifecycle.
Security Architects & Compliance Owners tasked with defining guardrails for GenAI, LLM usage, and AI-assisted workflows while meeting regulatory, audit, and internal governance requirements.
Organizations Actively Adopting AI that need a practical way to secure data used for prompts, training, and AI-driven workflows.
Join security experts from Fasoo for an exclusive session on how to enable generative AI, private LLMs, and AI-assisted workflows without exposing IP, personal data, or regulated information.
Learn how to apply access control lists (ACLs) directly to data so that only authorized users can access sensitive data, even when used with generative AI workflows. Ensure that AI inputs and outputs respect enterprise permission boundaries in real time.
Explore how to prevent sensitive information from leaking into generative AI tools like public LLMs. Instead of relying on simply keyword matches, Fasoo AI-R DLP uses contextual detection and policy controls to identify and block sensitive content.
See how advanced AI models accurately detect personally identifiable information (PII) across text, images, logs, and other unstructured data formats, and then encrypt that data at the source. Protect sensitive data during storage, sharing, and AI use.
By leveraging context-aware AI models that work across documents and unstructured data, you can automatically identify and de-identify sensitive personal data so it can be used securely in analytics, AI training, and collaboration.
Learn how to apply access control lists (ACLs) directly to data so that only authorized users can access sensitive data, even when used with generative AI workflows. Ensure that AI inputs and outputs respect enterprise permission boundaries in real time.
Explore how to prevent sensitive information from leaking into generative AI tools like public LLMs. Instead of relying on simply keyword matches, Fasoo AI-R DLP uses contextual detection and policy controls to identify and block sensitive content.
See how advanced AI models accurately detect personally identifiable information (PII) across text, images, logs, and other unstructured data formats, and then encrypt that data at the source. Protect sensitive data during storage, sharing, and AI use.
By leveraging context-aware AI models that work across documents and unstructured data, you can automatically identify and de-identify sensitive personal data so it can be used securely in analytics, AI training, and collaboration.
Schedule a time with our experts at Booth S-3202 in advance for a tailored consultation or hands-on demo.
