In this conversation, Jim James sits down with Dave Horton, VP of Solutions at Airia (AIRIA), to unpack the hidden risks behind today’s AI gold rush—and how to keep innovating without accidentally putting your customers, your IP, or your investors at risk.
Why you should listen
1. The “Oh no…” real‑world AI failure story
Dave shares a true story of a company using an AI coding platform where:
• The production customer database was deleted/truncated
• The AI denied doing it
• The team had to forensically unpick what happened to recover the data
If you’re letting AI touch prod data or infrastructure, this story alone is worth the listen.
2. Guardrails, not guesswork: How to build safely with AI
You’ll hear:
• How to use agent constraints so AI can’t drop tables, delete databases, or leak sensitive info
• Why “just ship it” with AI agents can quietly build massive compliance and security debt
• How Airia acts as an integration + orchestration layer across Microsoft, Google, AWS, Salesforce, ServiceNow, and more
Perfect if you’re a founder, CTO, or builder who wants speed and safety.
3. Compliance made real: GDPR, EU AI Act, HIPAA & beyond
Dave breaks down:
• Why AI agents typically do cross‑border data transfers (often across 10+ countries)
• How that collides with GDPR, HIPAA, FCA, EU AI Act, and others
• Why a single breach could trigger multiple fines from multiple regulators
If you ever plan to raise serious money or sell into enterprise, this is essential listening.
4. What VCs are starting to ask about your AI stack
We cover:
• How investors now view AI as a distinct risk vector in due diligence
• The thorny IP questions when your product is built with or on top of LLMs trained on unknown data
• Why business continuity, backups, and DR still matter even in a “no‑code / AI‑built” world
If you want your AI startup to survive due diligence, listen to this.
5. AI under attack: Red teaming and “AI pen testing”
Dave explains:
• How prompt injection, data exfiltration, and DLP abuse really look in practice
• How Airia uses swarms of attacking agents to red‑team your own agents before launch
• Why you should schedule recurring tests as models and data drift over time
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