I build ML-powered threat detection systems, LLM security auditing platforms, and MITRE ATT&CK-mapped correlation engines — production AI systems designed to find real attacks and expose real vulnerabilities.
Proven across SOC environments, enterprise LLM deployments, and regulated AI security programs.
No pitch. Let's assess whether ML actually solves your threat problem.
ARI 0.8224 · p=0.021 · 9 security datasets
Specialized in ML systems that detect threats and secure AI — not general-purpose AI consulting.
Prompt injection, jailbreak testing, data leakage auditing for production AI
GNN-based alert correlation, anomaly detection, MITRE ATT&CK mapping
Governance frameworks, audit trails, compliance-ready ML pipelines
End-to-end deployment with security-first architecture: FastAPI, Docker, Kubernetes
Once we define the threat surface and what ML can realistically solve, this is how I work:
From problem clarity → production impact
Identify where ML can detect, correlate, or prevent security events. Define what a true positive looks like and how to measure detection quality.
Design and implement ML pipelines for threat detection, LLM security testing, or alert correlation with production-grade architecture from day one.
Ensure outputs are actionable for SOC analysts, auditable for compliance teams, and maintainable for engineering long-term.
I build ML systems at the intersection of AI and cybersecurity — threat detection engines, LLM security auditing platforms, and MITRE ATT&CK-mapped correlation systems that operate in production environments against real attacks.
My work spans both sides: at Sequretek I built enterprise AI security platforms for real-time threat detection. At Syneos Health I architected LLM pipelines with governance frameworks for regulated clinical environments. My research project MITRE-Core v2 — a heterogeneous GNN alert correlation engine — achieved ARI 0.8224 across 9 security datasets with a statistically proven novel finding (p=0.021, Cohen's d=1.28).
I build AI security systems that SOC analysts can trust, compliance teams can audit, and engineering teams can maintain — from research prototype to production deployment.
Years Experience
Projects Delivered
ML Models in Prod
Accuracy Rate
Syneos Health
Sequretek
Engineered enterprise AI security platforms with ML-driven real-time threat detection and automated alert triage — SOC operations experience that directly informed MITRE-Core v2 research (ARI 0.8224, bridge edge p=0.021). Reduced manual SOC reporting by 60% through behavioral anomaly scoring pipelines.
Sequretek
Engineered enterprise AI security platforms with ML-driven real-time threat detection and automated alert triage — SOC operations experience that directly informed MITRE-Core v2 research (ARI 0.8224, bridge edge p=0.021). Reduced manual SOC reporting by 60% through behavioral anomaly scoring pipelines.
Clover Infotech
Built automated data pipelines and ML monitoring dashboards for production systems. Improved operational efficiency by 20% through data-driven automation and stakeholder reporting.
ML security systems solving real threat detection and LLM security challenges.
Heterogeneous GNN pipeline correlating raw SOC alerts into MITRE ATT&CK campaigns. ARI 0.8224 across 9 datasets. Bridge edge hypothesis proven: p=0.021, Cohen's d=1.28.
Client-ready platform for evaluating prompt injection, data leakage, and enterprise LLM security posture.
Rule-aware NLP scoring that flags community violations with 92% precision.
Reinforcement learning engine that adapts thresholds to flag unusual user logon sources, destinations, and time windows.
Model Accuracy
Automated ethics & bias detection for production ML systems
Thoughts on AI, Engineering, and the future of tech.
A 2025 deep dive into context window abuse and the LLM skill gap...
Deep dive into the explosive growth of agentic AI in 2025...
An honest comparison of Claude Opus 4.5, GPT-5.1, Gemini 3 Pro, and Grok 4.1...
If you're exploring how AI security, governance, or enterprise AI systems could help your organization — I'm happy to discuss your use case and suggest next steps.
No pressure. No sales pitch. Just clarity.
Book a 15-Minute Strategy CallI help organizations build AI systems that are scalable, reliable, and secure — from prototype to production.
© 2026 Rahul Singh. All rights reserved.