Snippipedia was built on a simple premise: most businesses adopting AI have no reliable way to know if it's secure, and most security teams don't yet understand the new attack surfaces AI systems introduce. We started as a focused, hands-on consultancy grounded in real Google Cloud security engineering — shaped by a gap we kept seeing firsthand across client environments. Over time we've grown into a specialist practice that treats cybersecurity and AI quality as two sides of the same problem, not separate disciplines handled by separate vendors.
Our work has been defined by staying close to the actual engineering — penetration testing real applications, building HIPAA- and GDPR-compliant systems from the ground up, and delivering AI architectures we can stand behind because we understand exactly how they fail. We don't spread across every technology category; we focus on the intersection where AI and security genuinely overlap, because that's where the real risk and the real opportunity live. Every engagement we deliver carries the same standard: clear findings, honest recommendations, and work that holds up under scrutiny long after the project closes.
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Projects delivered across cybersecurity, compliance, and AI engineering
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Industries served — Healthcare, SaaS, Legal, Finance, and Manufacturing ETC
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Reduction in document processing time delivered on a legal AI engagement
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Compliance frameworks implemented — HIPAA, GDPR, PCI and cloud security hardening ETC
Common Queries
Every question about how we work, what to expect, and how your data stays protected — answered.