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Building AI Tools with Guardrails (Part 2 w/ Peter Holcomb)
Start with Governance: Define security and compliance standards before adopting or building AI tools.
Test Before You Launch: Use red/blue team testing to secure your tool pre-market.
Legal vs. Guardrails: Terms of service help, but secure code is better protection.
Cross-Team Governance: Security, Legal, Privacy, and Engineering should all contribute.
“AI Agents, Deepfakes, The Future of Cybersecurity: Building on the Knife’s Edge with Peter Holcomb”
Peter shares stories from the field — from COVID-era telehealth engineering to building agentic security models, Python automation projects, and the future of digital provenance, data lineage, and trust systems.
If you’re into AI, cybersecurity, agents, deepfakes, IT architecture, or startup growth, this conversation is PACKED with value.
The Assurance Revolution: Securing Agentic AI Systems feat. TestSavant.ai [S01E10]
This is Episode 10 in the GrowthAmped podcast series, where our hosts Ayan Daftari & Peter Holcomb discuss the evolving landscape of AI assurance and security with Alex Belotsky, CEO/Cofounder & Kuba Fietkiewicz, CTO/Cofounder of TestSavant.ai. They explore the importance of ensuring AI systems are secure and compliant, the challenges of adoption across various industries, and the future of agentic AI.
