If you were at RSAC in April, you heard Cisco unveil its unique extended detection and response (XDR) approach rooted in principles which take the attack to the attackers. Cisco’s goal is to connect you with the best SecOps professionals in our business, that are tirelessly working to get you to your desired outcomes faster. Cisco XDR is built for SecOps by SecOps using principles such as:

  • Unified visibility regardless of the number of vendors or multiple telemetry vectors.
  • Prioritized actions leveraging AI and machine learning.
  • Elevated productivity leveraging automation and guided response. 

Cisco’s “LinkedIn Live” series highlights three short videos featuring some of our top security talent. Highlights include Cisco’s unique UX design philosophy, speed to detection and prioritization using tools such as breach pattern analysis; and finally, how Cisco XDR uses machine learning (ML) and artificial intelligence (AI) to enable a more efficient detection and response model.

So, grab your popcorn, snacks and frosty beverage and let Cisco bring our top talent.

How UX design expedites decision making to empower security analysts

Speakers:  Briana Farro, Product Manager for XDR and Derrick Snider, UX design lead – threat detection and response (TD&R)

Cisco’s new XDR UX design represents the future of Extended Detection and Response: efficient, impactful, and able to tell a compelling story with the data that matters. This session examines the rigorous user experience research and multiple rounds of design which has resulted in a SOC view providing the information that matters the most.

How breach pattern analysis unearths strike paths

Speakers: Briana Farro, Product Manager for XDR, Carlos Diaz, Principal Engineer, and Matthew Robertson, Distinguished Engineer

Any analyst tool or process that can enable greater speed to detection and prioritization is an edge.  Breach patterns are mechanisms which empower analysts to unmask anomalies, assign risk and identify strike paths. This discussion focuses on industry best practices and process for risk prioritization, security solutions mapping, and effective resource scaling based on strike path criticality.

Reduce the noise: How machine learning and artificial intelligence improve detection and response

Speakers: Briana Farro, Product Manager for XDR, Michael Roytman, Principal Engineer

1% of signals received by security practitioners result in true company risk. Noise versus signal is defined by a company’s appetite for risk which is then translated into a unique “risk threshold”. AI and machine learning can help determine what is noise versus signal; and what crosses a company’s risk threshold.  Join this session as Cisco experts highlight how AI and machine learning empower a faster and more efficient detection and response model.

Ready to get started? Learn more about how Cisco XDR simplifies security operations, allowing security teams to elevate productivity and stay resilient against the most sophisticated threats.

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Gia Filice

Portfolio Marketing Manager, Cisco Threat Detection and Response