Revolutionizing networks: the dawn of adaptive new control planes

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The Essence of Adaptive

Adaptive is a revolutionary control plane designed to broker access and protect sensitive information. Its unique agentless architecture ensures that it can be integrated seamlessly into existing workflows without the need for any modifications. * Agentless Architecture: Adaptive operates without the need for agents, making it easy to deploy and manage. * Minimized Data Exposure: By protecting data closer to its source, Adaptive significantly reduces the risk of sensitive data exposure. ## How Adaptive Works Adaptive works by brokering access to sensitive information and ensuring that it is protected throughout its lifecycle.

The Rising Tide of Insider Threats

Insider threats are becoming increasingly common, with a staggering 67% of companies reporting between 21 and more than 40 incidents annually. This alarming statistic underscores the urgent need for robust security measures within organizations. ### The Cost of Neglect The financial implications of insider threats are significant.

The Evolution of Data Protection

In the digital age, data protection has evolved from merely safeguarding data at rest to a comprehensive approach that includes data in transit and in use. This shift recognizes the multifaceted nature of data and the various ways it can be exploited if not properly secured. ### The Challenge of Data in Use – Data Consumption for Various Purposes: Organizations use data for reporting, analysis, internal tools, ETL pipelines, and more.

The Evolution of Data Security

Data security has always been a critical concern for organizations, but the rise of artificial intelligence (AI) has brought new challenges. As AI systems become more prevalent, they generate and process vast amounts of data, making it essential to protect this information from unauthorized access and misuse. ## The Need for Integrated Security Traditionally, organizations have treated IAM (Identity and Access Management) and data security as separate disciplines. However, this approach is no longer sufficient in the age of AI. Here are some reasons why:

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