Ep. 251 How to Translate AI into Stronger Cybersecurity
About this episode
The episode discusses how federal agencies can manage AI tools to enhance cybersecurity and maintain control over data.
Innovation often follows a familiar cycle: rapid expansion, followed by consolidation. Federal agencies are experiencing this firsthand as AI tools and models proliferate across their environments. This week on Feds At the Edge, technology leaders explore the challenge of rapid innovation and how agencies can regain control before the chaos of disorganized, duplicate data and tool sprawl compromises their missions. Jim Smid, Federal Solutions Architect, Palo Alto Networks , explains how observability now extends beyond servers and IoT devices to include AI models, tools, and their interactions with agency data. Jessica Souder, AIRS Specialist / Director, Public Sector, Palo Alto Networks, emphasizes that agencies should carefully evaluate new AI tools, validating them in controlled environments, and establishing governance before deployment. Tune in on your favorite podcast platform to hear why our panel of experts agree that any AI deployment should focus on the agency mission, valid data, and that all projects should commence with visibility.
People in this episode
Guests: Jim Smid, Jessica Souder
Topics covered
- AI
- cybersecurity
- federal agencies
- data governance
- innovation
Keywords
- AI tools
- cybersecurity
- federal agencies
- data governance
- innovation
- tool sprawl
- observability
Mentioned in this episode
Organizations: Palo Alto Networks
More episodes of Feds at the Edge
- Ep. 257 The Importance of Zero Trust Architecture
- Ep. 256 Maintaining Supply Side Risk
- Ep. 255 Responding to Ransomware
- Ep. 254 The Future of 6G
- Ep. 253 Meeting the AI Implementation Challenge – Securely
- Ep. 252 Addressing Security Holes in Air Gapped Environments.
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