In today’s hyperconnected digital landscape, data is more than just an asset—it’s the crown jewel of every organization. Whether it's customer records, financial data, intellectual property, or sensitive business information, your databases hold what adversaries want most. And yet, traditional perimeter defenses are proving inadequate in the face of increasingly sophisticated cyber threats and insider attacks. This is where Kron DAM&DDM’s Database Firewall (DBF) comes into play—a purpose-built solution for real-time, protocol-level database security that actively protects your most critical data assets from compromise.
Data breaches continue to pose a significant threat to businesses globally, with their cost and frequency escalating year by year. According to IBM’s 2024 Cost of a Data Breach Report, the global average cost of a data breach has surged to an unprecedented $4.88 million, a 10% increase from 2023. Factors such as shadow data, longer breach lifecycles, and increasingly sophisticated attack vectors exacerbate the challenge, leaving organizations struggling to mitigate risks. In this context, Kron PAM and Kron DAM&DDM offer a robust, integrated approach to addressing these challenges.
AI agents and applications are changing how companies run in the fast-changing digital environment of today. AI is at the core of invention, from streamlining processes to improving decision-making. But with great power comes great responsibility—particularly when it comes to securing sensitive credentials. The rise of Model Context Protocol (MCP) servers, which connect to target resources like databases, servers, and applications to execute tasks, has introduced a critical vulnerability: credential exposure.
One of the most difficult difficulties organizations face today is visibility—specifically, not knowing where sensitive data is located among huge databases and data repositories. According to IBM’s 2024 Cost of a Data Breach Report, the average breach now costs roughly $5 million, demonstrating the importance of ensuring proper visibility. Failing to uncover personal information, financial records, health details, or API secrets can lead to massive compliance risks, legal entanglements, and financial losses. Fortunately, Sensitive Data Discovery (SDD) has emerged as a vital layer in modern cybersecurity and data governance. Let’s explore the core problem, the solution, and how Kron DAM & DDM solve it with advanced scanning, classification, and compliance capabilities.
A recent reports revealed a surprising trend: cloud-based cyberattacks have increased fivefold over the past year. As more companies adopt cloud infrastructure, the identity layer has become a primary target and one of the most vulnerable areas of cybersecurity.