Platforms enhance security teams’ threat detection capabilities

The widespread integration of artificial intelligence (AI) and the Internet of Things (IoT) has sparked a surge in data, leading to significant shifts in information management strategies.

“Over the past 10 years, the financial sector alone has invested countless amounts in data science and building their data intelligence departments,” Taylor LoweCEO and co-founder of the AI ​​infrastructure platform Metal, he said PYMNTS.

“In all of these organizations, not only is there a lot of infrastructure in place, but there are incentives: years of operating with a data-driven approach have paid off and businesses are seeing the value. Technologies like artificial intelligence have just added fuel to that fire and accelerated the insights you can get from your data,” said Lowe.

However, this explosion of data has created significant visibility challenges for security teams, particularly due to the gap between threat detection, data discovery and classification.

According to research from a cyber security company Rubricthe vast majority of enterprises (98%) struggle with data visibility issues due to complex technology stacks, leaving vulnerabilities for adversaries to exploit.

In response to these challenges, a cyber security company CrowdStrike and Rubrik have teamed up to equip security professionals with the visibility and context needed to quickly take the required actions to prevent breaches of sensitive information—all through a single platform.

“CrowdStrike Falcon has become a source of truth and a platform for cybersecurity. Our partnership with Rubrik strengthens CrowdStrike’s data severity by unifying threat detection with data discovery, classification and backup.” Daniel BernardCrowdStrike’s chief commercial officer said on Wednesday (27 Press Release by announcing the partnership.

Rubrik, Chief Product Officer Anneka Gupta he added: “Legacy backup tools are not designed for modern cyber attacks and many organizations are now paying for this. With CrowdStrike, we help our customers deal with cyber adversaries, enabling security teams to quickly identify and defend against attacks – and ultimately increase cyber resilience.”

Another approach, according to Lowe, involves using AI and large language models (LLM) to analyze the unstructured internal data that makes up the majority of the world’s data.

“LLMs can read unstructured data with amazing results, but they still need direction. The insights you’re after will inform the use cases of your data – which is what the software you’ll be using must be built around,” he said.

Successful implementation relies on two parallel paths: creating an infrastructure capable of facilitating the transformation, storage and querying of existing data on the one hand, and developing software that effectively uses this infrastructure to support customized workflows on the other.

“The marriage of the two is where you’ll see the real increase in productivity,” Lowe added.

Read more: Cohesion and Veritas to create new company for data security, management

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