Ciph Lab® developed Intelligence Resources™—the organizational redesign methodology for continuous AI implementation.
We help enterprises assess their current AI readiness, identify critical gaps, and build the governance structures, operational systems, and capability frameworks needed to support AI sustainably. Based in the San Francisco Bay Area.
The Founder
Founder, CEO & Framework Originator of Intelligence Resources™. Juanita is an operational leader bridging the gap between Legal Risk, IT Infrastructure, and AI Strategy. Trained in a "zero-defect" Big Law environment at an elite Ropes & Gray spinoff (Haley Guiliano), she spent six years orchestrating global patent operations for high-tech leaders including Google. Drawing on this foundation and her tenure at Amazon Lab126, Apple, and Okta, she leads Ciph Lab®'s mission to translate complex mandates into frictionless operational frameworks.
B.S. Legal Studies, Magna Cum Laude | Graduate Certificate in Business Administration, UC Berkeley | MBA Candidate
The Team
Director of AI, leading technical architecture and responsible AI usage. Previously engineered Gemini-based pipelines processing 12M+ conversations and 1,000+ hours of video for enterprise clients including Disney, Netflix, Google, and NBCUniversal. Research background in Cognitive and Computational Neuroscience informs his approach to AI systems design and model evaluation.
B.S. Cognitive/Computational Neuroscience, The Ohio State University
Principal Advisor, AI Safety & Security. Nearly 25 years of industry research leadership in AI safety, security, and privacy at Google/YouTube and JPMorgan Chase. Her research focuses on how users safely make security and privacy decisions with LLM assistance—directly central to IR™ framework design. 9,000+ research citations and a 7-year tenure as department editor at IEEE Security & Privacy Magazine.
PhD, Mathematics — University of California, Berkeley
Implementation Partner. Brings deep fintech infrastructure experience from a long tenure at Credit Karma, where she worked across identity systems, compliance infrastructure, and operational systems at scale. Leads Ciph Lab®'s Technical Implementation track, specializing in Policy-to-Code transition and identity automation—moving governance from the page to the technical stack.
B.S. Broadcast Electronic Communication Arts, San Francisco State University
Seeking a founding equity partner to co-architect and scale the Intelligence Resources™ platform for enterprise-grade deployment. This is a co-founder role with ownership stake, strategic decision-making authority, and long-term commitment to building the company.
Contact: founder@ciph-lab.com
Enterprise Experience
Internal R&D Core
A specialized five-discipline research core establishing the alignment between proprietary governance logic, regulatory law, software engineering, technical execution, and enterprise risk management.
We are the research engine behind Intelligence Resources™, translating abstract compliance requirements into concrete, deployable frameworks that enterprises can actually use.
The IR Insight Circle™ is also our living demonstration. We don't just build Intelligence Resources™—we embody it. Our team structure demonstrates the exact principles we help enterprises implement: breaking down silos between Legal, Tech, and Business; cultivating multidimensional fluency across disciplines; and building adaptive systems that evolve as the regulatory and technical landscape shifts.
Framework Originator of Intelligence Resources™. Leading the Governance Logic Track. Translating regulatory intent into proprietary business rules and operational methodology.
Open Position — Actively Recruiting. Leading the Regulatory Synthesis Track. JD required. Legal validation of governance logic tracks across AI regulatory frameworks.
→ Inquire: founder@ciph-lab.com
Open Position — Actively Recruiting. Leading the Technical Build Track. Building and shipping the Intelligence Resources™ platform. Hands-on engineering with a bias toward execution and delivery.
→ Inquire: founder@ciph-lab.com
Implementation Partner. Fintech infrastructure and identity systems expertise from Credit Karma. Specializing in Policy-to-Code transition and identity automation.
Principal Advisor, AI Safety & Security. Nearly 25 years leading AI safety, security and privacy research at Google and JPMorgan Chase. PhD Mathematics, UC Berkeley. 9,000+ research citations.
Research Inquiries Welcome: founder@ciph-lab.com
Living Proof of Concept
Coming Soon
We are building a full picture of the multidimensional backgrounds that make Intelligence Resources™ work. Not just job titles — the actual disciplines, experiences, and ways of thinking each person on this team brings to the table.
Legacy hiring is too narrow for the AI era. Most organizations hire deep into one lane and hope the rest works itself out. That is exactly why we are also the living demonstration. AI literacy is not a checkbox — real AI literacy requires multidimensional fluency. You cannot fully understand how to work with AI if you only know one lane. The people who grasp it deepest are the ones who bring creativity alongside technical knowledge and can see across disciplines at the same time.
The Multidimensional Fluency Matrix™ will show what that looks like in practice — and why the backgrounds you might not expect are often the ones that matter most.