Malik Dixon
Founder · 1 product on SaaS Hive
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TraceLogicAI helps teams prove whether their AI systems are reliable, secure, and authorized to act.
TraceLogicAI helps teams prove whether their AI systems are reliable, secure, and authorized to act.It compares architectures like RAG, MCP, agents, and security-aware workflows, then measures quality, cost, latency, security, tool use, and execution evidence.TraceLogicAI also evaluates agent permissions and data access, helping answer a critical question:Did the AI just complete the task—or was it actually allowed to do it?Run → Score → Trace → Recommend → GateThe goal is simple: turn AI architecture decisions from opinion into measurable evidence.About Malik Dixon:Malik is an AI systems and workflow consultant and DevSecOps practitioner focused on AI assurance, agent governance, cloud security, and secure automation.Explore and ask yourself:Can you prove your AI is ready to act?
TraceLogicAI and Me
TraceLogicAI is an AI assurance and architecture evaluation platform that helps organizations determine whether their AI systems are reliable, secure, and authorized to act before they reach production. It compares architectures, detects regressions, traces decisions and tool use, evaluates agent permissions, and turns AI behavior into measurable evidence—so teams can prove not only what their AI did, but whether it was allowed to do it.About the Founder:Malik Dixon is an AI systems and workflow consultant, DevSecOps practitioner, and builder focused on AI assurance, agent governance, cloud security, and secure automation. He created TraceLogicAI to help teams move beyond simply deploying AI toward proving that their systems are reliable, secure, traceable, and properly authorized.