Athena Labs Research

Discover Athena Labs’ cutting-edge research in AI cybersecurity, threat detection, LLM applications, and anomaly detection shaping next-gen defense solutions.

Threat & anomaly detection at scale

• Temporal/relational modeling for SOC telemetry
• Graph Neural Networks (GNNs) & topological features for intrusion patterns
• Streaming outlier detection and weak-signal fusion for early warning

Cyber Threat Intelligence (CTI) & LLMs

• Domain-trained LLMs for CTI extraction, triage, and adversary reasoning
• Safety, provenance, and benchmarks for CTI LLMs (precision/recall on IOC, TTP, and narrative attribution)
• Efficient finetuning, RAG, and retrieval quality measurement

Language representation & compute trade-offs

• Comparative studies across TF-IDF, static embeddings, contextual encoders, and LLMs
• Accuracy/latency/cost frontiers for text classification and incident enrichment
• Model compression, quantization, and routing for SOC workloads

Security Operations alignment (SOC 2 Security Trust Criteria)

• Algorithms and pipelines that strengthen access control, monitoring, change integrity, and incident response
• Practical guidance for vulnerability management, scanning, FIM, MFA, and evidence collection