Too many enterprises are pouring millions into proving compliance — reports, audits, certifications. But regulators often only enforce surface-level paperwork. Meanwhile, the real risk remains unaddressed.
The Middle East is pouring billions into AI and data infrastructure — but with that comes strict data localization laws, privacy regulations, and ethical AI frameworks.
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.
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.
