The Bare Minimum Problem
In AT&T's recent $177M breach settlement, 70M people were eligible for up to $5K each. If everyone claimed, the bill would be $350B. Instead, companies bank on low claim rates.
In AT&T's recent $177M breach settlement, 70M people were eligible for up to $5K each. If everyone claimed, the bill would be $350B. Instead, companies bank on low claim rates.
DISA Global Solutions runs background checks for tens of thousands of companies. The breach happened in April 2024. They didn't notify the 3.3 million affected people until February 2025.
The second blog in our occasional series that explores real world use cases of Exact Data Matching(EDM) and business benefits. Financial Transaction Monitoring is our focus this week. EDM reduces financial losses due to fraud by enabling real-time detection and prevention of suspicious activities.
Protecting sensitive information is paramount for maintaining competitive advantage, ensuring regulatory compliance, and preserving customer trust. Exact Data Matching (EDM) has emerged as a powerful tool in the arsenal of data protection strategies, offering precision and efficiency in identifying and securing important data assets.
Organizations face an ever-evolving landscape of cyber threats and regulatory scrutiny. The global average cost of a data breach in 2024 is $4.88M, IBM highlights in the 2024 Cost of Data Breach. Effective and accurate data classification has emerged as a critical strategy for enterprises to manage risks, enhance security posture, and build resilience.
Data is the currency of the digital landscape. However, the value of data lies not only in its existence but also in how it is managed, refined, and secured. For enterprises, effective data classification is critical in maximizing the value of their data while ensuring compliance with regulatory frameworks and safeguarding sensitive information.