Secure AI
Move Fast, Don't Leak: Secure AI & Guardrails
How to build, deploy, and scale AI inside your company without leaking client data, your IP, or your competitive edge.
Most teams hear “we’re deploying AI securely” and picture legal red tape, slide decks, and reasons to slow down. It's actually the opposite. Good governance isn't about stopping. It's about putting the right guardrails in place so you can move faster, safely.
Your team is already leveraging AI for efficiency, often with public models. Blocking access isn't the winning strategy. The move is to enable that momentum by deploying robust guardrails that lock down proprietary data and IP, ensuring secure, fast adoption.
Whether you're technical, non-technical, or just curious, this session is interactive, approachable, and hands-on. We'll strip away the buzzwords and look at what it actually takes to build a secure AI stack: where your data goes, where the hidden risk lives, and how to protect the business without killing momentum.
We'll cover:
What secure AI guardrails actually look like, and the clear line between safe everyday use and real liability.
Keeping the crown jewels safe: how to make sure client data, source code, and proprietary IP never end up in a public training set.
Decoding model providers. Consumer apps vs. enterprise APIs, who keeps your data, who trains on it, and how to read a privacy policy that's trying not to tell you.
Deploying open-source agents like OpenClaw on your own hardware. How to run local models so your data never leaves the building, what hardware you actually need to do it well, and why "local" doesn't automatically mean "secure."
Demystifying AI governance: building an "AI Bill of Materials" so you actually know what's in your stack.
The new frontier of agentic AI (MCP vs. APIs). How agentic tools and the Model Context Protocol change the risk picture, and how to give AI access without giving away the keys.
Bring your laptop, your real-world scenarios, and your questions. We'll save time at the end to audit your current setups, vendor choices, and data pipelines live.
About the speaker: Zanir Habib is the Founder of Ferociter, where he helps enterprises and companies become AI-native. Ferociter works across strategy, training, governance, and custom implementation, guiding leadership teams through AI transformation, building practical AI governance frameworks, and deploying production-grade LLMs, automations, and dashboards that companies actually own and operate. Zanir has led AI engagements across hospitality, finance, construction, and security, and writes and speaks regularly on enterprise AI adoption.
This event has a max capacity of 20 people and will be happening on Thursday, June 11th from 12:00-1:00 at Workbox
Please find available Street parking as Workbox does not validate parking.