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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 End of Human Receptionists? AI Agents, Insured Bots, and Agentic Commerce
In this episode of the MyCallCloud Podcast, Noah Seis is joined by Peter Holcomb for a deep dive into the explosive world of OpenClaw (now MoltBot). In less than 90 days, this open-source project has gone from a GitHub repo to an OpenAI "acquihire," and the implications for security, commerce, and the global workforce are massive.
