The widespread integration of artificial intelligence (AI) and the Internet of Things (IoT) is driving a data explosion that is driving significant changes in information management strategies.
“Over the past decade, the financial industry alone has invested countless amounts of money in building out data science and data intelligence departments.” taylor loweCEO and Co-Founder of AI Infrastructure Platform metal, Said Pymunto.
“These organizations not only have a lot of infrastructure in place, but they also have incentives. They have a long history of operating with a data-first mindset, and companies are recognizing the value of data-first. Technologies such as AI only add fuel to that fire, accelerating the insights gained from data,” Lowe said.
However, this data explosion poses significant visibility challenges for security teams, especially due to gaps between threat detection, data detection, and classification.
according to the study According to cybersecurity firm Rubrik, the overwhelming majority of companies (98%) are grappling with data visibility issues due to complex technology stacks, leaving vulnerabilities that adversaries can exploit.
In response to these challenges, cybersecurity companies CrowdStrike and Rubrik have partnered to provide security professionals with the visibility and context they need to quickly take the necessary precautions to prevent sensitive information from being compromised. Everything is done through a single platform.
“CrowdStrike Falcon is the source of truth and platform of record for cybersecurity. Our partnership with Rubrik strengthens CrowdStrike’s data gravity, unifying threat detection with data discovery, classification, and backup. CrowdStrike Chief Business Officer Daniel Bernard said on Wednesday (March 27). press release Announcement of partnership.
Anneka Gupta, chief product officer at Rubrik, added: “Traditional backup tools were not designed for modern cyber-attacks, and many organizations are now paying the price. With CrowdStrike, we are helping our customers improve their defenses against cyber-attackers. We are enabling security teams to quickly identify and defend against attacks, ultimately increasing cyber resilience.”
Additional approaches include leveraging AI and large-scale language models (LLMs) to analyze unstructured internal data, which makes up the majority of the world's data, according to Lowe.
“LLM can read unstructured data and get amazing results, but it still requires direction. The insights you're looking for are those that inform the use case for your data and how You have to build the software that you use based on it,” he said.
Successful deployment requires two parallel paths. One is establishing an infrastructure that facilitates the transformation, storage, and querying of existing data, and the other is developing software that effectively leverages this infrastructure to support customized workflows.
“If you marry these two people, you're going to see real productivity gains,” Lowe added.
read more: Cohesity and Veritas form new data security management company
