Data Protection & Privacy
Identify Critical Data, Control Access, and Prevent Data Leaks
Senseti provides data loss prevention solutions that help companies identify where confidential data is stored, who has access to it, and which channels could allow information to leave the corporate environment.
We implement Data Discovery, DSPM, data classification, and DLP tools across Microsoft 365, cloud, on-premises, and SaaS environments. We configure protection policies based on data criticality, risks, and business workflows. We start with monitoring and policy testing to identify false positives and gradually introduce the necessary restrictions.
15
years of experience in IT security
50+
technology partners
98%
client satisfaction
Data Is No Longer Stored in One Place
Corporate information is distributed across Microsoft 365, Google Workspace, CRM, ERP, databases, file servers, and cloud services. Data is also transferred through email, messaging platforms, AI services, and APIs, while encrypted archives can make DLP inspection more difficult.
The more systems and channels a business uses, the harder it becomes to determine where critical data is located, who has access to it, and where it may end up. Without centralized control, confidential information, service credentials, and unmanaged copies may remain outside the IT team's visibility.

Key Risks to Corporate Data
Undiscovered Confidential Data
Personal data, financial information, contracts, and intellectual property may remain stored across different systems for years without centralized tracking. Companies lack a complete view of where critical information resides and may not know which repositories require protection first.
Excessive Access Permissions
Employees, former staff members, or contractors may retain access to information they no longer need. Accumulated excessive permissions increase the risk of unauthorized use, copying, or transfer of corporate data.
Accidental Data Leaks
An incorrect email recipient, public link, USB drive, or upload to a personal cloud account can expose confidential information and lead to data breaches. The cause is often a simple user error rather than an intentional violation of security policies.
Insider Threats and Risks
An employee or contractor may accidentally or intentionally copy, download, or transfer critical information. Role changes, employee departures, and project completion require particular attention when access permissions no longer reflect actual business needs.
Unmanaged Data Copies
Legacy file servers, test environments, backup directories, duplicates, and unmanaged SaaS services create shadow data. The primary repository may be protected while copies remain in systems with unknown access permissions.
Unprotected API Keys and Access Tokens
API keys, tokens, and service account passwords may be stored in source code, repositories, and configuration files. If compromised, particularly when excessive privileges are assigned, they may provide access to databases, cloud resources, and corporate APIs.
Encrypted Archives and Hidden Content
Confidential files may be transferred in password-protected ZIP, RAR, or 7z archives that standard DLP inspection cannot examine without decryption. Such attachments require dedicated detection and control policies to reduce the risk of uncontrolled information transfers.
AI and GenAI Data Security
Employees may share documents, code snippets, and customer data with ChatGPT, Copilot, and other AI services through browsers, extensions, or APIs. Without visibility into these tools and control over transfer channels, confidential information may leave the corporate environment unnoticed.
Customer and Regulatory Requirements
Data protection is an important requirement in tenders, contracts, and third-party assessments. Without controlled access, retention policies, and audit logs, demonstrating compliance becomes more difficult and may limit cooperation with enterprise customers.
What's Included in the Solution
Senseti builds protection around the data itself, not just the systems where it is stored. The enterprise data protection solution combines data discovery and classification, access analysis, transfer controls, encryption, and monitoring of risky activities across on-premises, cloud, and SaaS environments.
Data Discovery and Classification
We identify confidential data across corporate systems, determine its criticality, and build a data inventory to support further protection.
- Discovery across cloud and SaaS services, file repositories, databases, and endpoints.
- Classification using patterns, dictionaries, Regex, Fingerprinting, Exact Data Match, and OCR to recognize text in images and scanned documents.
- Sensitivity Labels and automated policy application based on data types and platform capabilities.
Data Security Posture Management
DSPM helps determine where critical data is located, who has access to it, and which configurations create exposure risks.
- Detection of shadow data, exposed resources, and excessive access permissions.
- Analysis of access rights, data exposure, and potentially unsafe configurations.
- Risk prioritization and continuous monitoring of changes across supported environments.
Data Loss Prevention
We control the use and transfer of confidential information through supported channels based on data type, user identity, and the context of each operation.
- Email DLP and controls for web uploads, cloud/SaaS services, endpoints, USB devices, and printing.
- Phased policy enforcement: monitoring → warning → user justification → blocking, with false-positive testing.
- Forwarding events to SIEM/SOC, Service Desk, and incident investigation workflows.
CASB and Security Service Edge (SSE)
We control the use of cloud applications and the transfer of corporate data through SaaS services. We combine CASB with SSE components based on the access architecture and supported integrations.
- Discovery of Shadow IT, unauthorized SaaS applications, and high-risk cloud services.
- Control of access, file uploads, downloads, and transfers through API integrations, browser sessions, and supported network mechanisms.
- Integration of CASB, Secure Web Gateway (SWG), ZTNA, and DLP to enforce protection policies in cloud environments.
Encryption and Information Protection
We protect confidential information through file and data encryption during storage, transmission, and collaboration. We configure encryption and access permissions while considering corporate system compatibility and external data sharing.
- Encryption of data at rest and in transit.
- Sensitivity Labels, Rights Management, and access control for protected documents.
- Key management and verification that encrypted files remain accessible to authorized users and services.
Insider Risk and User Behavior
We address insider threats and identify potentially risky activities by employees and contractors when handling corporate information, taking their roles and permissions into account.
- Bulk copying, downloading, deletion, and unusual data transfers.
- Analysis of behavioral signals and deviations from established work patterns.
- Monitoring, alerts, and escalation of suspicious events to responsible teams for review.
Data Privacy and Compliance
We help implement information processing and retention policies, maintain audit logs, and demonstrate compliance with applicable requirements.
- Data retention, archiving, and controlled information deletion.
- Audit logs, reporting, and monitoring of data protection policy compliance.
- Technical and organizational measures to support GDPR, PCI DSS, ISO 27001, and internal company standards.
Additional Data Protection Capabilities
For specific scenarios, we complement the core DLP, DSPM, and classification framework with specialized protection mechanisms. These help restrict access to sensitive information, manage its use, and maintain corporate policies throughout the data lifecycle.
Data Masking and Tokenization
We use Static Data Masking (SDM) to de-identify data in test environments and Dynamic Data Masking (DDM) to restrict the display of sensitive values in production databases. Tokenization replaces confidential data with dedicated tokens.
Key Management
We centralize the management of cryptographic keys, access permissions, and key rotation. Depending on the architecture and requirements, we implement KMS, BYOK, HSM, and other supported key management mechanisms.
Retention and Secure Disposal
We define data retention periods, archiving rules, and controlled deletion procedures. We account for corporate policies, legal restrictions, and data preservation requirements.
eDiscovery and Privacy Operations
We configure the search, preservation, and preparation of information for internal investigations, legal proceedings, and personal data requests while respecting established access permissions.
Managed Data Protection
After implementation, we monitor risky events, assess policy effectiveness, and adjust protection rules. We maintain security controls as corporate data, applications, and infrastructure evolve.
How Data Protection Works
Corporate data protection operates as a continuous cycle:

Senseti identifies where critical data is stored, analyzes access permissions, configures protection policies, and monitors risky operations. Following incidents, system changes, and the emergence of new transfer channels, we review policies, assess their effectiveness, and adapt protection to business needs.
Where We Protect Data
Microsoft 365
We protect information in Exchange, SharePoint, Teams, and OneDrive. We configure classification, access controls, external sharing, and confidential data transfer policies based on available licensing capabilities.
Corporate Email
We control the transfer of confidential information through emails, attachments, and external recipients. We configure policies to detect risky operations and prevent accidental data leaks.
Cloud and SaaS Services
We protect data in Azure, AWS, Google Cloud, and corporate cloud applications. We use CASB, DLP, and service integrations to control access and data transfers across supported environments.
File Servers and NAS
We identify confidential data in file repositories, shared folders, and legacy systems. We analyze access permissions, duplicates, and unmanaged copies of information.
Endpoints
We protect data on workstations, laptops, and supported mobile devices. We control USB devices, printing, file uploads, and clipboard operations, including clipboard redirection in RDP, Citrix, and VMware Horizon sessions.
Databases
We identify confidential records in on-premises and cloud databases. We analyze access permissions, exposure risks, and the use of critical information.
Business Applications
We protect information in ERP, CRM, document management systems, and other corporate applications. We configure access and data transfer policies based on user roles and integration capabilities.
AI Services
We help control the transfer of corporate data to ChatGPT, Copilot, and other AI services. We use secure web gateways, endpoint DLP controls, and API integrations depending on the access method and platform capabilities.
Technologies and Platforms
We select protection technologies based on data types, corporate infrastructure, transfer channels, and security requirements. We assess platform compatibility, existing licenses, and the cost of additional features to design a well-founded architecture without duplicating capabilities.
Microsoft Data Security
Microsoft Purview, DLP, Information Protection, Insider Risk Management, and DSPM are used for data classification, transfer controls, and risk analysis. Advanced capabilities may require Microsoft 365 E5, relevant add-on licenses, or Microsoft Purview Suite.
Enterprise DLP and DSPM
We consider Forcepoint, Varonis, Proofpoint, and Trellix for data protection, transfer channel controls, access analysis, and monitoring of risky activities. Available capabilities are evaluated based on the specific product and customer requirements.
CASB and Security Service Edge (SSE)
Netskope and Zscaler provide technologies for controlling cloud applications, web traffic, and confidential data transfers. They help discover unmanaged services and enforce protection policies through supported traffic inspection and integration mechanisms.
Cloud Data Security
We consider Palo Alto Networks Prisma Cloud and Check Point CloudGuard for assessing cloud risks, access permissions, and configurations. Data discovery and protection capabilities depend on the specific platform components.
Encryption and Database Security
IBM Guardium, key management solutions, and built-in cloud platform mechanisms are used to protect critical information. We select technologies for access control, encryption, and monitoring of data operations.
How We Implement Data Protection
We start with an assessment of the corporate environment and a pilot project, rather than widespread blocking. We gradually identify critical data, configure policies, test for false positives, and move from monitoring to controlled enforcement of restrictions.
Assessment and Pilot Project
We review key data sources, access permissions, and transfer channels. We initially test the solution in monitoring mode with a limited group of users or systems.
Timeline: Depends on the scope and objectives of the pilot project.
Outcome: Risk map, protection priorities, and a validated architecture concept.
Data Discovery
We identify confidential information across on-premises infrastructure, cloud services, file repositories, databases, and endpoints.
Timeline: Depends on the number of data sources and the volume of data.
Outcome: Data inventory and a map of the most critical areas.
Data Classification
We define data categories and criticality levels, configure detection rules, and apply sensitivity labels based on data types.
Timeline: In parallel with or after data discovery.
Outcome: Classification model and rules for handling different categories of information.
Protection Policy Design
We develop policies for accessing, using, and transferring confidential data based on user roles, transfer channels, and business processes.
Timeline: Depends on the number of scenarios and policies.
Outcome: Agreed policies for monitoring, warnings, user justification, and blocking.
False Positive Testing and Policy Tuning
We test policies against real business workflows, analyze false alerts, and refine detection rules. We configure exceptions and thresholds to reduce unnecessary blocking and excessive alerts.
Timeline: Depends on testing results and the number of policies.
Outcome: Validated protection rules with fewer false positives.
Deployment and Integration
We deploy DLP, DSPM, classification, encryption, and monitoring tools. We integrate the solution with corporate systems and gradually activate restrictions after policy testing.
Timeline: Determined based on the assessment and pilot project results.
Outcome: An operational data protection framework with configured data control policies.
Continuous Data Protection
We monitor new data sources, changes in access permissions, policy violations, and suspicious events. We review policies and adjust protection measures as new risks and business processes emerge.
Timeline: Ongoing, according to the support agreement.
Outcome: Up-to-date policies and continued risk management after implementation.
Do You Know Where Your Critical Data Is Stored?
We will review data repositories, access permissions, cloud services, and key information transfer channels. We will show where the greatest risks lie and which measures should be implemented first.
Contact UsWhat Your Business Gains
How We Get Started
We begin by assessing the current state of data protection. Within a few business days, we identify key risks and develop a clear action plan without interrupting business operations.

Review Your Data
We determine where critical and confidential data is stored and which systems and environments use it.
Analyze Access and Transfer Channels
We review who has access to information and which channels could allow it to leave the controlled environment.
Identify Risks
We create a risk map, identifying excessive access permissions, unmanaged data copies, and potentially unsafe data transfer scenarios.

Develop a Protection Plan
We determine which risks to address first, which policies and technologies are needed, and what can already be implemented using the existing infrastructure.
Estimate Implementation Costs
We prepare a recommended architecture, scope of work, and cost estimate. Pricing depends on the number of users, systems, data volume, and required control channels.
Contact Us
Send a message to our team to find out how we can help you