2024 will be a revolutionary year for the data security landscape as Data Security Posture Management technology rapidly evolves to keep pace with the colossal amount of data being created, stored and shared within organizations and across business sectors, according to Metomic.
According to IBM, the average cost of a data breach in 2023 reached a record-breaking $4.45 million-up 15% over 2020.
The financial implications alone are enough to end a business, but data breaches can also have a devastating impact on brand reputations and customer perceptions about a business.
Effective data security starts with understanding where your sensitive data is stored.
Currently, data security is primarily happening in silos, with most efforts focused on databases and warehouses.
In the coming year, CISOs and security professionals will take great control of their company's sensitive data and expand their focus beyond data warehouses to encompass all of their cloud vendors - a large part of which is their SaaS ecosystem.
By implementing security solutions that enable security professionals to see exactly where data is stored and shared, as well as who has access to it, organizations will be better equipped to detect, connect, and protect sensitive data across their entire cloud estate, from one unified platform.
Security leaders look for new ways to drive productivity.
The security industry is already witnessing vendor consolidation across multiple sectors-a move that enables security teams to improve operational efficiency and create more holistic measurements of security performance efforts.
As security leaders look for new ways to drive productivity and improve efficiencies, more attention will be given to data security tools and DSPM solutions that seamlessly integrate into their organization's primary security platforms, including Security Information and Event Management systems and even ticketing managing tools like Jira.
In 2024, Data Security Posture Management adoption rates will climb with data security becoming a key component of the overall security strategy.
In the world of SaaS, there are billions of sensitive data points in motion at any given time across an organization's technology infrastructure.
The multitude of such massive datasets makes it extremely difficult for DSPM tools to protect sensitive data on a datapoint-by-datapoint level-there is simply too much noise.
As the amount of data continues to grow, security teams will need DSPM solutions that allow them to prioritize security risks based on the financial implications of a potential incident and make decisions accordingly.
Over the next 12 months, DSPM tools will become more advanced to meet these needs, evolving from simply monitoring individual data points to delivering high-impact data security insights that put a spotlight on high-level risk patterns.
As data monitoring becomes even more pervasive across cloud-based environments, particularly within SaaS ecosystems, it will become increasingly difficult for security teams to investigate and respond to a continuous stream of security alerts.
By training the wider workforce on data security issues and red flags, security teams will be better equipped to identify external threats, as well as any internal data vulnerabilities caused by unsuspecting employees.
Whether it's employees using ChatGPT to write emails or AI-powered chatbots that engage directly with customers, AI feeds off data.
In 2024, security professionals will establish comprehensive policies to regulate how employees use generative AI tools and create new rules to keep sensitive business data from being put into generative AI platforms.
Artificial intelligence will play a crucial role in enhancing DSPM capabilities, potentially enabling security tools that can help protect data from being shared with non-compliant generative AI platforms.
This Cyber News was published on www.helpnetsecurity.com. Publication date: Tue, 05 Dec 2023 04:13:05 +0000