Applied AI
Detecting hallucinations in RAG systems for enterprises
Retrieval augmented generation (RAG) systems can produce confident-sounding responses that are not grounded in retrieved sources.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Applied AI
Detecting harmful goal drift in AI agents and implementing guardrails
Harmful goal drift in AI agents is a production risk where agents pursue objectives that diverge from intended outcomes.
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Applied AI
Detecting Model Drift in Production with RAG and Agent Monitoring: Practical Observability for Enterprise AI
Production AI drift is not hypothetical. In systems that rely on retrieval augmented generation and autonomous agents, drift across data, knowledge sources, and policies can erode accuracy, trust, and safety.
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Applied AI
Detecting Political Bias in AI: A Practical Production Guide
Political bias in AI can distort policy recommendations, skew political content, or influence public discourse when deployed at scale.
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Applied AI
Detecting Prompt Injection in Production: Middleware Guardrails for Safe Agent Workflows
Prompt injection is a real threat in production AI workflows. When agents orchestrate tools, access data, and operate across trust boundaries, crafted prompts can nudge decisions, reveal sensitive data, or bypass policy constraints.
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Applied AI
Detecting Shadow AI agents on internal networks: production-grade governance and risk controls
Shadow AI agents are an emerging risk for modern enterprises. They operate outside formal approval, bypass standard governance, and can affect data privacy, security posture, and regulatory compliance.
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Applied AI
Deterministic analytics instrumentation for production AI workflows
In production AI, analytics instrumentation should be deterministic and governed, not improvised at the keyboard. When telemetry is assembled ad hoc, teams run into drift, opaque costs, and missed decisions.
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Applied AI
Deterministic replay for AI agents in production
Deterministic replay for AI agents in production begins by capturing all decision-relevant inputs and the seeds that drive stochasticity.
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Applied AI
Developing Blockchain-Based Traceability for Ethical Fashion and Food
Blockchain-based traceability is not a marketing gimmick. For enterprise fashion and food, it delivers tamper‑evident provenance, enables rapid recalls, and supports verifiable ESG claims while preserving performance.
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