Enhancing Security Teams’ Detection Capabilities through Platforms

The widespread integration of artificial intelligence (AI) and the Internet of Things (IoT) has led to an exponential growth in data, resulting in significant shifts in information management strategies.

“Over the past decade, the financial sector has heavily invested in data science and bolstering their data intelligence teams,” noted Taylor Lowe, CEO and co-founder of the AI infrastructure platform Metal, in an interview with PYMNTS.

According to Lowe, the existing infrastructure in organizations coupled with the wealth of data accumulated over the years has emphasized the value of a data-first mindset. Technologies like AI further enhance the capability of extracting insights from data, fueling organizations’ drive for data-driven decisions.

This surge in data has, however, presented challenges for security teams, particularly in terms of visibility and threat detection.

Research from cybersecurity firm Rubrik reveals that 98% of businesses struggle with data visibility issues due to complex technology stacks, leaving them vulnerable to potential exploits by adversaries.

In response, cybersecurity company CrowdStrike and Rubrik have joined forces to enhance security professionals’ ability to proactively safeguard sensitive information through a unified platform.

“CrowdStrike Falcon has become the cornerstone in cybersecurity, serving as the platform of record. Our partnership with Rubrik fortifies CrowdStrike’s data gravity, merging threat detection with comprehensive data discovery, classification, and backup,” stated Daniel Bernard, chief business officer at CrowdStrike, in a press release.

Rubrik’s chief product officer, Anneka Gupta, emphasized the importance of combating modern cyber threats by empowering organizations with advanced tools to swiftly identify and defend against cyberattacks.

One recommended strategy involves harnessing AI and large language models (LLMs) to analyze unstructured internal data, which forms a significant portion of the world’s data.

“While LLMs can provide valuable insights from unstructured data, strategic guidance is essential for optimal outcomes. The software used must align with specific data use cases to derive actionable insights,” Lowe explained.

Successful implementation hinges on establishing robust infrastructure for data transformation and aligning it with software that effectively supports customized workflows, enabling organizations to enhance productivity significantly.

Read more: Cohesity and Veritas to Form New Data Security, Management Company

See More In: AI, artificial intelligence, Cybersecurity, data, data aggregation, data management, data security, fraud, News, PYMNTS News, Security, tech stacks, Technology

Share This Article
Leave a comment

Leave a Reply

Your email address will not be published. Required fields are marked *