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.

Data Is No Longer Stored in One Place

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 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.

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.

How Data Protection Works

Corporate data protection operates as a continuous cycle:

How Data Protection Works

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.

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
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
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
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
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
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
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
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.

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What Your Business Gains

Visibility into Critical Data

The company gains visibility into where confidential information is stored, who has access to it, and how it is used. Instead of fragmented controls, the business gets a comprehensive view of data locations and associated risks.

Control Over Data Transfers

DLP and classification policies help control data transfers through email, cloud services, web applications, and endpoints. Risky operations can be detected, restricted, or blocked through supported channels.

Reduced Excessive Access

User permissions are reviewed according to roles and operational needs. Identifying excessive permissions helps restrict unauthorized access to critical information.

Reduced Workload for Security Teams

DSPM helps identify unmanaged data copies, excessive access permissions, and unsafe configurations. Addressing identified risks and fine-tuning DLP policies can reduce low-priority alerts and the workload of SOC analysts.

Preparation for Compliance Audits

Data classification, retention policies, access controls, and audit logs provide supporting evidence for assessments. This helps demonstrate compliance with applicable corporate data protection requirements.

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.

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Send a message to our team to find out how we can help you

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