Fasoo’s Approach to
Zero Trust Data Security

Zero Trust is not a product.
It’s a model.

Vendors’ approaches to Zero Trust Data Security
vary significantly and most fall short of the higher
standards Zero Trust demands.

Zero Trust Data Security (ZTDS)

The Ultimate Micro Perimeter

Fasoo’s takes a different approach than today’s traditional solutions. We push controls and security to what needs
protection – the file – and bind them so safeguards travel everywhere with the file.

Sensitive data is always protected, visibility is never lost, and policies are persistent.

Access Privileges

Identity aware access,control
by user,roles and groups

Embedded ID

Trace files anywhere, know access
usage, remote delete

Granular Rights

Restrict what users can
do with the document

Encrypt

Data itself is protected
and travels with file

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Scale to Address the Hybrid Workplace

DLP, CASB, and EPP technologies designed to sit at known data ingress/egress points don’t work well in today’s world.
Sensitive files find their way to third parties, unmanaged BYODs, and unsanctioned cloud services where data is accessed, used,
and stored outside the corporate lens.

Fasoo’s approach inherently scales to the hybrid workplace with files
that self protect and control themselves, everywhere.

Stronger Protection, Enforced

DLP and behavior analytics query, observe, allow/block, and assess files to make sure you follow rules or check for anomalous events,
but don’t usually protect the data itself. Exposed data is exfiltrated and goes undetected for weeks if not months.

Encrypt sensitive files without exception from the start. It’s what Zero Trust means by explicit, not implicit trust.

Automatically discover, classify and encrypt sensitive files when created or modified.

Discover

Classify

Encrypt

Get Data In Use Under Control

What happens today with traditional solutions after an insider gains access to a sensitive file? It’s a free pass.
Copy, cut, paste, share, and store sensitive corporate data as they wish. That’s not Zero Trust. Why let a user extract or share data when all they
need is to view and read the document? That’s not least privilege access.

Fasoo enables explicit granular rights so users have what they need to do their job, but no more.

Continuous Monitoring

Zero Trust depends on continuous monitoring. Who accessed data, what was done with the data, and from what location and device.
But today’s solutions lose sight of data and the interactions as it moves across a patchwork of siloed security and IT tools.
Context is lost and Zero Trust is compromised.

Fasoo’s embedded file ID makes monitoring easy with files that self reports all interactions
to a single lifetime log that makes continuous monitoring easy.

Wrapsody
Wrapsody eCo
Fasoo Enterprise DRM for External
Fasoo SM
Fasoo DR
Fasoo DRM Node
Fasoo DRM Repository
Fasoo DRM Mobile
Fasoo SP
Fasoo SS
Fasoo eXception
Fasoo RiskView
Fasoo ILM
AnalyticDID

Zero Trust Data Security (ZTDS)

We Meet You Where You Are

Organizations on the Zero Trust journey leverage their existing data security infrastructure with Fasoo’s Zero Trust Data Security Platform and modular product solutions. We enable security teams to target immediate need use cases with a breadth of solutions that range the full lifecycle of sensitive data security and regulatory requirements.

Fasoo Zero Trust
Data Security Platform

Stronger Data Security Made Easy

Zero Trust
Approach

&

Data Security Platform

Learn more about how Fasoo operationalizes Zero Trust

Resources

What is it?

What is
Data Classification?

Data classification is the process of organizing and categorizing data based on its level of sensitivity, importance, and confidentiality. This helps organizations manage their data more effectively by ensuring that sensitive information is protected and accessed only by authorized personnel. Data classification typically involves assigning labels or tags to data based on predetermined criteria, such as the type of data, the level of sensitivity, and the potential impact of unauthorized access or disclosure. Data classification can help organizations comply with regulations and legal requirements related to data privacy and security, as well as protect against data breaches and cyber-attacks. It can also help organizations optimize their data storage and management strategies by identifying which data is most valuable and should be prioritized for backup, retention, and archival purposes.

What is
Data Protection?

Data protection refers to the set of measures and practices designed to safeguard data from unauthorized access, use, disclosure, or destruction. This includes protecting data from various threats, such as cyber-attacks, data breaches, accidental deletion or corruption, and physical disasters. Data protection typically involves implementing security controls and protocols, such as access controls, encryption, firewalls, intrusion detection and prevention systems, and backup and recovery procedures. It also involves ensuring that individuals and organizations handling data are trained and aware of their responsibilities to protect data and comply with data protection laws and regulations. Data protection is important for maintaining the confidentiality, integrity, and availability of data, as well as building trust with stakeholders who rely on the organization to protect their sensitive information. It is also becoming increasingly important as data privacy laws and regulations continue to evolve and place greater emphasis on data protection and accountability

What is
Data Visibility?

Data visibility refers to the ability to access, view, and understand data. It is the process of making data accessible and usable to individuals and organizations for analysis and decision-making purposes. Data visibility can be achieved through various means, such as data visualization tools, reporting software, and data management systems. Data visibility is important for effective decision-making and analysis, as it allows individuals and organizations to make informed decisions based on accurate and up-to-date information. By improving data visibility, organizations can gain a better understanding of their operations, customers, and markets, and make more informed decisions to achieve their goals. Data visibility can also help organizations identify areas for improvement and optimize their business processes. For example, by analyzing data on customer behavior and preferences, organizations can identify trends and patterns that can inform product development and marketing strategies. Overall, data visibility plays a critical role in helping organizations achieve their strategic objectives and stay competitive in their industries.

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your sensitive data with Fasoo Zero Trust Data Security Platform!