CISO Intelligence Data
A synthetic enterprise security data layer for exploring security posture and testing platform agents against realistic data-quality challenges.
Detection & security platform engineering
Raghav Dinesh
I build detection systems and the data platforms behind them. My work spans security telemetry, cloud infrastructure, and AI security.
Software and security engineering since 2012.
Selected work
Code, research, and writing
Living Threat Intel
A threat intelligence pipeline that collects CISA KEV, NVD, AlienVault OTX and URLhaus data, deduplicates it across sources, and generates Sigma and YARA rules for review.
View repositoryAI Security Mastery
A practical guide from machine learning foundations to AI security, covering prompt injection, jailbreak detection, and adversarial threats.
Read the bookAlso exploring post-quantum cryptography with Aegis and least-privilege cryptographic operations with HSED.
Experience
Security Engineer · IBM
2021–present · Bengaluru, India
Detection & security platforms
I work on the systems that connect security data to useful decisions: detection rules, telemetry pipelines, and continuous visibility into cloud infrastructure.
- Security intelligence infrastructure that correlates endpoint, vulnerability, scanning, exception, and asset data.
- Detection engineering in Python and Go, informed by MITRE ATT&CK and NIST CSF.
- Continuous reconciliation to identify ungoverned assets and gaps in security coverage.
Previously: Technical Lead · Learning Matters
2020–2021 · Platform architecture and security foundations for an AI-powered product.
Writing
AI Security Mastery
A free online guide connecting machine learning concepts with practical security engineering. Topics include ML foundations, LLM threats, prompt injection, and detection.
Let’s connect
For security engineering opportunities and technical collaboration.