Red Specter Security Research Ltd designs and operates purpose-built frameworks for the complete attack surface of agentic AI systems. Spanning offensive research, runtime defence, forensic incident reconstruction, and autonomous red-blue co-evolution.
Offensive AI security framework. 301 purpose-built tools across 208 attack layers and 36 kill chain phases. The complete agentic AI attack surface.
Defensive runtime platform. 227 modules across 17 industry verticals. Purpose-built runtime protection paired to every NIGHTFALL attack surface.
AI security posture scoring. Quantified, evidence-based risk assessment across the full agentic attack surface.
Forensic AI incident reconstruction. Cryptographically-linked capture of every input, output, tool invocation, and reasoning checkpoint — before, during, and after an incident.
Autonomous attack-defence co-evolution platform. NIGHTFALL attacks. AI Shield defends. Security Half-Life empirically measured at T½ = 13 cycles.
Offensive intelligence. Sequences attacks across 301 NIGHTFALL tools and 22 attack surfaces. Ed25519 + ML-DSA-65 + RFC 3161 evidence chain. SAR-{hex12} session IDs.
Defensive coverage mapping. Maps 227 AI Shield modules against 22 attack surfaces. Cross-references RED findings. Flags untested and undefended surfaces. SAB-{hex12} session IDs.
Compliance and regulatory mapping. Takes RED and BLUE outputs. Maps findings to 11 regulatory frameworks and 37 obligations. SAW-{hex12} session IDs.
Attack. Defend. Comply.
Coming soon: SPECTER AGENT BLACK (threat intelligence), SPECTER AGENT GREY (forensics), SPECTER AGENT GOLD (vendor assessment), SPECTER AGENT PURPLE (continuous monitoring), SPECTER AGENT ORANGE (training and simulation).
RS-2026-081: The SPECTER Constellation. doi:10.5281/zenodo.22962665
RS-2026-068: The NHI Blind Spot. doi:10.5281/zenodo.22714844
RS-2026-067: The DEADMAN Problem. doi:10.5281/zenodo.22709674
RS-2026-066: SPECTER TORPEDO. doi:10.5281/zenodo.22709618
AI-powered law enforcement intelligence tool. Available to verified law enforcement agencies.