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LRMG Takes the Path to Proactive Data Protection

Enhancing data protection and providing valuable user insights, while effectively empowering remote workers to uphold top-level security within the Talent Manager and Advisor sector.
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Working together to safeguard data

Challenge

LRMG needed to manage and secure sensitive data in a fully remote environment, highlighted by unmonitored data movement and a need for robust insider risk management.
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Solution

LRMG found Reveal: leveraging machine learning and seamless integration with existing systems to proactively safeguard sensitive data and improve cybersecurity posture.
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Result

LRMG enhanced their security posture and fostered a proactive, educated cybersecurity culture across the organization, ensuring all users share responsibility for protecting data.
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About LRMG

LRMG provides world-class Talent Development, Talent Technology and Talent Advisory solutions to help organisations craft exceptional talent experiences and unlock talent potential – igniting people, and igniting growth. With a legacy spanning over 26 years in with offices in Johannesburg, Cape Town, Kenya, and Mauritius, and representation across 18 African regions. 

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Challenge

In the evolving landscape of remote work, LRMG found itself at a crossroads regarding data management and security. The shift to a fully remote operation post-2020 illuminated a critical challenge: ensuring the protection of sensitive data in a vastly distributed environment. This realization marked a pivotal moment in addressing the company's data security concerns.

A significant hurdle LRMG faced was the unmonitored movement of sensitive data. Operating on a principle of zero trust, they embarked on an evaluative phase to understand the extent and nature of data flow within the organization. The findings were startling: substantial volumes of private data were leaving the company without knowledge or intent from its users. This revelation underscored the critical need for a comprehensive insider risk and threat management solution, propelling LRMG to adopt a more vigilant stance on data protection.

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Solution

LRMG's partnership with Next DLP enabled them to grasp the intricacies of their data flow and secure sensitive information efficiently, while also fostering a culture of cyber awareness and privacy among employees. The integration of Reveal with LRMG's existing Microsoft Azure Information Protection setup was seamless, enabling automatic data detection and classification which simplified the entire data protection process.

Next DLP’s holistic approach included not only securing data but also monitoring the behavior of LRMG’s personnel and their endpoint security, allowing for a deeper understanding and more effective security of business processes. The Reveal Platform played a key role, shifting LRMG from a reactive to a proactive stance in cybersecurity through advanced machine learning that offered insights into user behavior and detected potential threats like a departing executive’s attempt to breach data security. This capability demonstrated the Platform's effectiveness in guarding against sophisticated insider threats and fostering a proactive security culture.

Result

Enhanced Security and Flexibility

Enhanced Security and Flexibility

Reveal provided LRMG with critical tools to enhance data protection and manage insider risks effectively, especially suited to the unique challenges of remote work and specific industry needs. This was a pivotal step in strengthening their security framework, allowing them to be both flexible and agile in their approach.

Cultural Shift in Cybersecurity

Cultural Shift in Cybersecurity

Alerts served as educational tools rather than punitive warnings to users, promoting a culture of open dialogue about security and making cyber education more engaging and less intimidating. This shift helped LRMG build a more informed and cohesive team environment, integral to proactive security practices. 

Proactive Risk Management

Proactive Risk Management

Reveal's use of machine learning to analyze user behavior and secure endpoints catalyzed a shift from reactive to proactive risk management at LRMG. It not only protected sensitive data but also helped understand and secure business processes more deeply, reinforcing a proactive organizational stance on cybersecurity.

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