Fasoo AI

Data Security | Application Security | Intelligent Digital Document Platform | Ultimate Memo

Founded in 2000, Fasoo AI provides unstructured data security, data governance, and AI-powered enterprise content platforms to help organizations discover, classify, protect, and manage critical information assets while boosting productivity.

10/28/2026

Data loss doesn't always start with a cyberattack. Sometimes, it starts with an employee pasting sensitive information into an AI prompt. Organizations need to control both how employees access AI and what information they share.

Traditional DLP tools were built to monitor files, endpoints, and network traffic. But when employees copy content from a document into an AI prompt, the information can leave behind the file and the protection that came with it.

Fasoo AI-R DLP provides a secure path to AI. It can detect sensitive information, block risky prompts, notify users of policy violations, and track AI activity.

Read more about how organizations can enable AI productivity while maintaining control over sensitive data:

👉 https://en.fasoo.ai/blog/data-loss-without-an-attacker-governing-what-employees-put-into-ai/

10/21/2026

Your attack surface includes more than servers, endpoints, and cloud assets. It also includes your documents.

Contracts, spreadsheets, CAD files, and PDFs move through email, cloud storage, and partners every day, and they can stay exposed even after infrastructure vulnerabilities are patched.

Continuous Threat Exposure Management (CTEM) is designed to identify, prioritize, validate, and reduce exposures based on real-world risk.

Read our blog to discover why a complete CTEM strategy should cover sensitive documents too:
👉 https://en.fasoo.ai/blog/what-is-continuous-threat-exposure-management-ctem/

10/14/2026

Fasoo AI has been named “Retail Cybersecurity Solution of the Year” in the 2026 CyberSecurity Breakthrough Awards, recognizing its approach to protecting sensitive data as AI adoption expands.

As organizations integrate AI into everyday operations, customer data can be exposed through AI prompts, while shadow AI makes it harder to maintain visibility and enforce security policies.

Fasoo AI-R DLP helps organizations address these risks by analyzing AI prompts in real time and applying security policies before sensitive information is exposed.

Read more about how Fasoo AI helps organizations protect sensitive data while enabling responsible AI adoption:

👉 https://en.fasoo.ai/news-and-events/press-release-fasoo-ai-named-retail-cybersecurity-solution-of-the-year-in-2026-cybersecurity-breakthrough-awards/

10/07/2026

Your organization may know who your direct vendors are. But do you know who your vendors share your documents with?

Sensitive files often move through subcontractors and other parties beyond your immediate visibility. This leads to nth–party risk: exposure created by parties beyond the ones an organization directly engages with.

Once a document leaves your direct vendors, how much control do you still have over it?

Read our latest blog to explore how organizations can reduce nth-party risk by keeping protection, permissions, and activity tracking with the document itself.

👉 https://en.fasoo.ai/blog/blog-managing-nth-party-risk-protecting-documents-beyond-your-direct-suppliers/

09/30/2026

For organizations handling ITAR-controlled data, AI usage creates new compliance questions.

When CAD files and source codes are uploaded to an AI tool, does your organization know who can access the sensitive data and whether protection and traceability remain in place?

Our latest blog explores how engineering teams can use AI tools while maintaining compliance with ITAR.

👉 https://en.fasoo.ai/blog/an-itar-compliant-approach-to-ai-usage/

09/23/2026

Source codes represent years of engineering investment, proprietary algorithms, and core intellectual property.

But protecting it isn't as simple as encrypting files.

Developers need to open, edit, compile, and share code across IDEs, version control systems, and other development tools. Security controls that interfere with these workflows can create their own problems.

So how can organizations protect source code without slowing development down? Our latest blog explores how to approach this challenge:

👉 https://en.fasoo.ai/blog/how-to-build-an-effective-source-code-protection-strategy/

09/16/2026

M&A due diligence creates a unique security challenge: the most sensitive documents must be shared with people outside your organization.

Virtual data rooms make collaboration easier, but securing the platform alone may not be enough. Once documents are downloaded, printed, forwarded, or captured, organizations can lose visibility and control over sensitive deal information.

Read our latest blog to learn how organizations can strengthen M&A document security:
👉 https://en.fasoo.ai/blog/the-ma-data-room-why-virtual-due-diligence-has-become-a-prime-espionage-target/

09/09/2026

Organizations need workflows that persist even when AI models change.

As new AI models emerge, enterprises need the flexibility to adopt or replace them without rebuilding the systems that support their business. Our latest white paper explores how an enterprise-centric AI architecture can keep business processes consistent while allowing AI models to evolve.

Read the full white paper to learn more:
👉 https://en.fasoo.ai/white-papers/ai-architecture-white-paper/

09/02/2026

AI agents don't need to be malicious to become an insider risk.

An agent can have legitimate access to sensitive files and still expose data by inadvertently following the wrong instructions. Traditional identity and access controls can verify who or what is requesting access, but they may not control what happens after an agent has been granted permission.

But what if the file itself could enforce its own protection?

Read our latest blog to explore why data-centric file security is becoming an important layer of AI agent security:
👉 https://en.fasoo.ai/blog/when-the-insider-has-no-pulse-rethinking-file-security-for-ai-agents/

08/26/2026

AI usage is becoming increasingly embedded in enterprise operations.

But the real differentiator is what AI can understand and apply from an organization's own knowledge. Engineering decisions, customer insights, policies, and years of operational experience are often scattered across documents, repositories, applications, and employees.

Organizations need to turn that data into trusted, contextual enterprise knowledge that can support decisions and business operations.

Read our latest white paper to explore why enterprise knowledge is becoming a defining advantage in the AI era:
👉 https://en.fasoo.ai/white-papers/enterprise-intelligence-white-paper/

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