We came to AI from security, not the other way around
Kyora IQ was founded by Danielle Robinson to help organizations build, secure and govern the next generation of technology. She is a former Virtual Chief Information Security Officer with more than twelve years across regulatory investigations, cybersecurity, enterprise security compliance, risk management and security engineering.
What makes the practice unusual is that she still builds. Production AI applications, an MCP server, an AI red-teaming platform, multi-agent architectures and security automation, written in Python across Azure, AWS and Google Cloud. The same work covers what those systems expose: prompt injection, sensitive data leaking out of RAG pipelines, insecure integrations, excessive agent permissions, model abuse and supply-chain risk in the stack underneath. Most firms do one side of that. Doing both is why our governance work lands on what the engineering team actually deployed.
The compliance side is just as concrete. Annual NIST 800-53 and HIPAA assessments spanning more than 300 controls, third-party and vendor risk assessments, and security questionnaires built from scratch rather than borrowed. We work with contractors when an engagement needs more hands, and the same standard applies to their output as ours.
What we hold to
Frameworks we map and assess against
Requirements rarely live in one standard. Most engagements involve translating between several at once.
Work with people who have read the standard.
Not skimmed the summary blog post about it.