EVENT(S)

Our next Lunch-n-Learn (event) is scheduled for Thursday, February 26th, 2026!

Presentation: Aiaiai! Again, An AI presentation. Presented by Jeffrey Pricher and Sponsored by Check Point.

Jeffrey Pricher is a retired U.S. Air Force Cyber Operations Officer with more than 30 years of experience in IT and cybersecurity. His final military assignment placed him on a Cyber Protection Team responsible for defending critical infrastructure across the state of Missouri. He holds an MS in Network Security, an MA in Computer Resources and Information Management, and a BS in Management/Computer Information Systems.

For the past 11 years, Jeffrey has served as a Security Engineer with Check Point Software Technologies, where he supports large enterprise and public-sector organizations in strengthening their cybersecurity posture. His prior experience includes roles as an Intrusion Detection Technician for Air Mobility Command, Security Engineer for the Air Force Communications Agency, Information Systems Security Officer at Boeing, Information Security Manager at KV Pharmaceutical, and Director of Infrastructure Security Engineering at CenturyLink.

The official link and location will be provided via email.

If you are do not receive emails, despite being on the mailing list, use the form on the Contact Us page or reach out to Dan.

Next Event Date(s): 

• Thursday, March 26th - See below for more info!

Our next Lunch-n-Learn (event) is scheduled for Thursday, March 26th, 2026!

Threat Hunting in the AI Era: Building the Network Intelligence Foundation

Security teams are rapidly adopting AI-powered tools, but many are discovering a critical gap: AI is only as effective as the data it can access. While endpoint detection, SIEM platforms, and identity systems generate massive volumes of telemetry, most AI security implementations lack comprehensive network context – a foundational layer where 52% of MITRE ATT&CK techniques are observable, according to MITRE's own classification of "network-addressable" techniques.

This session explores how security practitioners can bridge the AI visibility gap by implementing network intelligence as a queryable, AI-native data source. We'll examine Anthropic's Model Context Protocol (MCP), an open standard enabling AI systems to securely access external data, and its implications for threat hunting at scale.

Attendees will learn:

• Why network telemetry provides "ground truth" that other data sources lack

• How MCP enables AI to reason about network behavior conversationally

• Practical threat hunting methodologies combining human expertise with AI assistance

• Real-world scenarios: detecting lateral movement, C2 communications, living-off-the-land attacks, and supply chain compromises

• The path toward fully-automated threat hunting AI agents—what's possible today and what's emerging

• A working demonstration of MCP-enabled network intelligence integrated with modern AI tools

Rather than theoretical discussion, this session provides immediately applicable hunting techniques, explores the frontier of autonomous threat hunting agents, and delivers an architectural blueprint for making any network security data AI-ready. The presentation concludes with a live demonstration of these concepts in practice using open source foundations.

Presenter: Phil Owens, VP of Customer Solutions, Stamus Networks

Phil Owens has over 25 years experience in IT, networking, and cyber security. As a Systems Engineer he has been a trusted advisor to several fortune 500 companies. As a product manager he has created successful cyber security software products. Prior to joining Stamus Networks he held positions at RSA Security, AT&T and IBM. Phil is also proud to have served in the United States Air Force. Phil resides in Florida, USA.

The official link and location will be provided via email.

If you are do not receive emails, despite being on the mailing list, use the form on the Contact Us page or reach out to Dan.