---
title: "The Gene Simmons of Data Protection - AI Inference-time Guardrails"
url: https://stacklist.com/card/fb958f45-fc9e-47e0-b21a-a2f4632d4ebf
source_url: "https://www.codestory.co/episodes/the-gene-simmons-of-data-protection-ai-inference-time-guardrails/"
stack: https://stacklist.com/c/podcast/stack/9409aa95-a822-40a5-a89a-276dd193abc6
summary: "Code Story podcast features Ave Gatton from Protegrity discussing inference-time AI security threats, including prompt injection, data leakage, and model manipulation. The episode explores why traditional security models fall short at inference and how organizations can build real-time guardrails for safe, scalable AI adoption."
tags: "ai-security, inference-time-guardrails, data-protection, prompt-injection, ai-safety, generative-ai, compliance"
key_entities: "Ave Gatton (person), Protegrity (organization), inference-time guardrails (concept), prompt injection (concept), data leakage (concept), generative AI (technology), Code Story podcast (event), AI safety (concept)"
classification: "transcript"
content_hash: "sha256:2625fa66d6c16294dce9c996b5b07833f19347e25a82419c03b2cba1d3c03073"
acp_version: "0.2"
token_counts_approximate: 575
visibility: public
agent_accessible: true
status: "final"
---

# The Gene Simmons of Data Protection - AI Inference-time Guardrails

Code Story: Insights from Startup Tech Leaders — The Gene Simmons of Data Protection - AI Inference-time Guardrails Listen to Episode The Gene Simmons of Data Protection - AI Inference-time Guardrails Code Story: Insights from Startup Tech Leaders 0:00 26:44 1× The Gene Simmons of Data Protection: Protegrity's KISS Method Today, we are releasing our final FINAL episode from our series, entitled The Gene Simmons of Data Protection - the KISS Method, brought to you by none other than Protegrity . Protegrity is AI-powered data security for data consumption, offering fine grain data protection solutions, so you can enable your data security, compliance, sharing and analytics. Episode Title: Navigating the Future of Data Management: Type Systems, Quantum Computing, and Protegrity's Innovations In our final-FINAL episode, we are speaking with Ave Gatton , Director of Generative AI. We talk about how AI safety doesn't end with training, it begins with inference. We explore the overlooked frontier of AI security, from prompt-injection, data leakage, and model manipulation. Ave helps to understand how you can build guardrails that operate in real time, and adapt to evolving threats. Questions What are inference-time threats and why are they becoming a critical focus in AI security? How do inference-time risks differ from training-time risks? Why is inference-time protection critical for safe, scalable AI adoption? How do inference-time threats vary across industries? Is there any industry where these attacks are most prevalent? Why are traditional security models insufficient at inference? What is the impact of inference-time breaches on AI adoption? What role does compliance play in shaping inference-time guardrails? What practical steps can organizations take to secure inference today? How can businesses balance performance with security when adding guardrails? Links https://www.protegrity.com/ https://www.linkedin.com/in/averell-gatton/ Our Sponsors: * Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app * Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.ai Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Latest Season of the Podcast is Sponsored By