Safeguarding Data:
The Top Use Cases for an Advanced DLP Strategy with GTB’s DLP that Workstm
In today’s digital age, businesses face an increasing challenge of safeguarding sensitive data against evolving cyber threats. An advanced Data Loss Prevention (DLP) strategy is becoming essential to protect organizations from data breaches, comply with regulations, and maintain customer trust. This article explores the top use cases where an advanced approach to DLP, particularly with GTB’s DLP that Workstm platform, proves invaluable.
1. Cloud Security and Collaboration
As businesses migrate their operations to the cloud, collaboration tools and platforms become integral parts of daily workflows. GTB’s DLP that Workstm ensures that sensitive information shared through cloud-based applications, such as Google Workspace, Microsoft 365, and Dropbox, remains secure.
Key Features:
- Content Discovery: Identify and classify sensitive data with precision across cloud environments.
- Real-time Monitoring: Track data movement in real-time.
- Encryption and Granular Controls: Implement encryption and granular controls to protect data.
Benefits:
- Collaboration Without Compromise: Enable secure collaboration without compromising data integrity.
- Cloud Compliance: Meet regulatory requirements for data protection in cloud environments.
- Data Visibility: Gain comprehensive visibility into sensitive data and associated potential risks.
2. Insider Threat Prevention
Insider threats, whether intentional or accidental, pose a significant risk to data security. GTB’s DLP that Workstm helps organizations detect and mitigate insider threats by monitoring sensitive data and safeguarding against unintentional data leaks.
Key Features:
- Analytics: Utilize scientific algorithms to analyze behavior and detect/prevent data breach attempts.
- Policy Enforcement: Implement policies that prevent unauthorized data sharing.
- Endpoint Protection: Extend DLP controls to endpoints to secure data on remote devices.
- Control Generative AI Data Exfiltration: GTB AI that Works™ Data Protection permits the use of Generative AI’s advancements.
Benefits:
- Early Threat Detection: Identify potential insider threats before they escalate.
- Policy Adherence: Enforce security policies to prevent data mishandling and / or exfiltration.
- Data Protection: Safeguard data even if accessed by authorized users.
3. Remote Workforce Security
The rise of remote work introduces new challenges for data security. GTB’s DLP that Workstm addresses these challenges by providing robust protection for data accessed and shared from various locations and devices.
Key Features:
- Network-Agnostic Protection: Secure data regardless of the network or location.
- Cloud-Native Security: Leverage GTB’s cloud-based DLP solutions for scalable and flexible protection.
Benefits:
- Secure Data: Ensure sensitive information protection from any location.
- Compliance in Any Environment: Meet regulatory requirements, even in remote work scenarios.
- User Productivity: Enable a secure, collaborative, and productive remote work environment.
4. The Importance of Accurate Data Detection
Accurate data detection is paramount in a DLP strategy for several reasons:
- Precision in Incident Response: Accurate detection enables quick and precise incident response, minimizing the impact of a potential data breach.
- Compliance Adherence: Accurate identification ensures compliance with industry regulations by correctly categorizing and protecting sensitive data.
- Minimization of False Positives/Negatives: Precision in detection reduces the occurrence of false positives, preventing unnecessary disruption, and false negatives, ensuring no genuine threats go unnoticed.
- Trust Building: Reliable data detection builds trust among customers, partners, and stakeholders, demonstrating a commitment to protecting sensitive information.
Why GTB’s DLP that Workstm is Essential
GTB’s DLP that Workstm offers a unique advantage with:
- Unparalleled Accuracy: Utilizing advanced patented and proprietary detection algorithms to minimize false positives and negatives.
- Adaptability & Ease of Use: Easily customizable to fit the specific needs and nuances of diverse business environments.
- Comprehensive Protection: Offering a holistic solution covering cloud, endpoint, and network security.
Conclusion:
An advanced approach to DLP, especially with GTB’s DLP that Workstm platform, is not just about preventing data loss; it’s about empowering businesses to thrive in an era of digital transformation. Whether protecting data in the cloud, mitigating insider threats, or securing a remote workforce, GTB’s DLP that Workstm stands as a proven, fundamental pillar of a comprehensive cybersecurity posture.
As organizations navigate the complex landscape of data security, investing in GTB’s DLP that Workstm becomes a strategic imperative. By doing so, businesses not only fortify their defenses against cyber threats but also foster a culture of responsible data handling, compliance, and trust among customers and stakeholders.
Testimonials
They are highly impressed with GTB’s all-in-one DLP solution and its ability to discover, classify, detect, and protect companies from threats in a seamless manner.”
We see GTB’s platform as a direct response to address this problem, and we feel it is a best-in-class solution.
Nov. 16, 2022 lkin
For these reasons, GTB is a top choice among those who take data protection seriously and is used by major players across industries, including finance, healthcare, defense contractors, and government.
GTB Data Security Benefits for SRM Admins
Visibility: Accurately, discover sensitive data; detect and address broken business process, or insider threats including sensitive data breach attempts.
Protection: Automate data protection, breach prevention and incident response both on and off the network; for example, find and quarantine sensitive data within files exposed on user workstations, FileShares and cloud storage.
Notification: Alert and educate users on violations to raise awareness and educate the end user about cybersecurity and corporate policies.
Education: Start target cyber-security training; e.g., identify end-users violating policies and train them.
- Employees and organizations have knowledge and control of the information leaving the organization, where it is being sent, and where it is being preserved.
- Ability to allow user classification to give them influence in how the data they produce is controlled, which increases protection and end-user adoption.
- Control your data across your entire domain in one Central Management Dashboard with Universal policies.
- Many levels of control together with the ability to warn end-users of possible non-compliant – risky activities, protecting from malicious insiders and human error.
- Full data discovery collection detects sensitive data anywhere it is stored, and provides strong classification, watermarking, and other controls.
- Delivers full technical controls on who can copy what data, to what devices, what can be printed, and/or watermarked.
- Integrate with GRC workflows.
- Reduce the risk of fines and non-compliance.
- Protect intellectual property and corporate assets.
- Ensure compliance within industry, regulatory, and corporate policy.
- Ability to enforce boundaries and control what types of sensitive information can flow where.
- Control data flow to third parties and between business units.
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