Protect sensitive data wherever it lives and moves.
Gain visibility into critical information, understand how it is used and enforce protection across endpoints, cloud, SaaS, browsers and AI.
You cannot protect data you cannot see
Sensitive information now moves through cloud storage, collaboration platforms, endpoints, browsers, SaaS applications, AI tools and third-party workflows. Traditional perimeter controls cannot provide complete protection when data is constantly copied, shared and transformed. F Creative Studio 360 helps organizations build a data-centric security model based on discovery, classification, context and policy. This creates clearer visibility into where sensitive data exists, how it moves and where control is needed most.
What you get with this service
Data discovery and classification
Identify sensitive structured and unstructured information using content, context, labels and business rules.
Data movement visibility
Monitor how information is accessed, shared, uploaded, downloaded, copied and transferred across key channels.
Policy-based protection
Apply controls that can alert, coach, block, encrypt or require approval based on data sensitivity and user context.
Insider and exfiltration risk detection
Identify unusual data activity, risky behavior and potential theft while preserving the context needed for investigation.
Value your teams and leadership will see
- Reduce accidental leakage and deliberate data theft.
- Support privacy, regulatory and contractual requirements.
- Enable safer use of cloud, SaaS and generative AI tools.
- Improve investigations with clear evidence of data access and movement.
A structured three-step engagement
Find and classify
Identify priority repositories, data types, owners, regulatory obligations and existing labels.
Design policies
Define acceptable use, risk levels, user experiences, exceptions and response workflows.
Deploy and refine
Roll out controls in stages, monitor impact, tune policies and expand coverage based on observed risk.
Where this service is most useful
The approach behind the outcomes
We balance protection with usability. Effective data security should reduce risk without creating unnecessary barriers for employees, developers and business teams.
Know your sensitive data and control how it moves.
Begin with a data discovery and risk workshop focused on your highest-value information.
Answers to common questions
Is data security the same as DLP?+
DLP is an important control, but data security is broader. It includes discovery, classification, posture, access, monitoring, encryption, policy and response across multiple environments.
Can policies apply to AI tools?+
Yes. Controls can help detect or restrict sensitive information being entered into approved or unapproved AI services, depending on the technology and access channel.
How do you reduce user disruption?+
We recommend staged deployment, user coaching, context-aware policies, clear exceptions and monitoring before strict blocking is enabled.