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The Clock Has Run Out on Traditional Cybersecurity
For years, cybersecurity followed a predictable pattern. A vulnerability appeared, security teams investigated it, a patch was eventually released, and organizations worked to close the gap before attackers could take advantage. That model was never perfect, but it was built for a world where change moved more slowly. That world no longer exists. Artificial intelligence has changed the game for cyber-attacks.
Risk Changes the Data Governance Game
The speed of change is so quick that it is easy to forget that modern, mainstream technologies and business practices are often still relatively young. For example, that smartphone in your pocket didn’t exist 12 years ago. Neither did the widespread term that has become common in the boardroom and vital to modern businesses: data governance. Data governance refers to the set of people, processes, and technologies required to ensure that data is managed as a corporate asset.
Identity-Defined Security is Critical in a Digital Transformation World
In an economy driven by information, data has always been every organization’s most important asset, and cyber-criminals know this, which is why they almost always start an attack by compromising credentials – and from there, move to other levels of privilege until they reach their ultimate goal: data. Acknowledging this, boards, C-suite executives and IT security teams have always ranked data governance as a top priority.
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