Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

February 2024

CrowdStrike Customers Share Benefits of Cybersecurity Consolidation and Technology Integrations

I recently had the opportunity to speak with three CrowdStrike customers who shared their stories on why they consolidated on the CrowdStrike Falcon® XDR platform and the benefits of CrowdStrike’s tech integrations with partners like Okta and Zscaler. The 30-minute virtual panel, “Customer Best Practices for Security Consolidation Success,” is brimming with helpful information for security professionals. Why is this topic top-of-mind for so many?

Strong results in third-party testing confirm AT&T Cybersecurity as an XDR leader

Here at AT&T Cybersecurity, we know that the technology powering our managed detection and response services is solid—and we’ve got documentation to prove it. But we also know you’ve probably read your share of marketing materials making claims with nothing to back them up, so when we get the opportunity to share third-party metrics that support what we’ve been saying, we jump on it.

CloudFactory Eliminates "Head Scratching" with Cato XDR

More than just introducing XDR today, Cato announced the first XDR solution to be built on a SASE platform. Tapping the power of the platform dramatically improves XDR’s quality of insight and the ease of incident response, leading to faster incident remediation. “The Cato platform gives us peace of mind,” says Shayne Green, an early adopter of Cato XDR and Head of security operations at CloudFactory.

Cato XDR Storyteller - Integrating Generative AI with XDR to Explain Complex Security Incidents

Generative AI (à la OpenAI’s GPT and the likes) is a powerful tool for summarizing information, transformations of text, transformation of code, all while doing so using its highly specialized ability to “speak” in a natural human language. While working with GPT APIs on several engineering projects an interesting idea came up in brainstorming, how well would it work when asked to describe information provided in raw JSON into natural language?

Cato XDR Story Similarity - A Data Driven Incident Comparison and Severity Prediction Model

At Cato our number one goal has always been to simplify networking and security, we even wrote it on a cake once so it must be true: Figure 1 – A birthday cake Applying this principle to our XDR offering, we aimed at reducing the complexity of analyzing security and network incidents, using a data-driven approach that is based on the vast amounts of data we see across our global network and collect into our data lake.