Data protection requires AI-based security strategies

Only half of respondents said their company’s data security strategy has kept pace with the development of AI. Additionally, despite the recent boom in AI, implementing stronger data governance and security controls will be a higher priority for data teams in 2024.

Data governance figures prominently in business plans

When asked what major initiatives their companies would take over the next 12 months, 80% of respondents cited their top priorities are data security-related initiatives, such as implementing stronger data governance and security controls and modernizing data architecture using new concepts such as data meshes. Only 20% of respondents said integrating artificial intelligence into business processes will Is a top priority

With the rapid rollout of artificial intelligence solutions and the continued push to move data to the cloud, data leaders are being challenged to prioritize data security, agility and visibility. They need to provide both appropriate data protection measures and solutions that can flexibly leverage data to drive value

Without the foundation of a strong data architecture and data security strategy, it is impossible for enterprises to safely integrate AI into their in the process. Business leaders must design an AI-specific security strategy that includes the right protocols and policies to protect data. "Added Carroll, CEO of Immuta.

The rapid advancement of AI and ML is causing excitement and concern across the enterprise. According to the report, employees are already taking advantage of these tools to increase productivity and streamline tasks within their roles. Process. 88% of data professionals say their employees are using AI, and many data professionals believe AI will help them with areas such as anomaly detection (44%) and phishing attack identification (46%) Achieve better outcomes

Using businesses to prioritize AI security strategies

At the same time, many are concerned about the broader security impact of AI on their businesses. 56% of respondents said, Their biggest area of ​​concern is the leakage of sensitive data through AI. This concern increases the need for AI-specific security strategies and tactics so that enterprises can confidently and securely leverage these technologies and roll out AI models at scale

While AI is a top priority for data professionals in every industry, trust, security and compliance remain key priorities for businesses. 88% of data leaders believe data security will be a key issue in the next 12 years Becoming a higher priority within months, ahead of AI. 80% of data professionals say their data protection capabilities are better than a year ago, as data security continues to take center stage for enterprise leaders in today’s ever-changing threat landscape As people's priorities increase, budgets and resources are likely to increase.

As enterprises grow, their structures become more complex and the data they manage becomes richer. Both of these make data security increasingly complex. has become increasingly challenging and important, and has also increased the complexity of data ownership. According to the report, data security across enterprises does not have a clear owner

Respondents indicated that the position most often responsible for data security Be a data privacy or security manager (19%), or chief technology officer (15%). However, many other positions were also noted to be responsible for data security. This lack of ownership creates challenges in collaboratively managing security, which leads to teams Operating in silos and insecure deployments.

According to last year’s report, 63% of data professionals were found to have insufficient visibility into data access controls. Likewise, data access remains a major concern for teams Security barriers: 33% of respondents said a lack of visibility into data sharing and use is their biggest security challenge, resulting in missed business opportunities

Meanwhile, 56% said, Data security processes slow down access to data. This means that more than half of enterprises sacrifice some level of data-driven value to achieve basic security outcomes. They choose to trade agility for trust and compliance

The above is the detailed content of Data protection requires AI-based security strategies. For more information, please follow other related articles on the PHP Chinese website!