SANDS Lab’s AI for Security applies AI across detection, analysis, and response. We connect field-deployed security solutions with the AI research behind them, helping security teams understand threat context faster and respond sooner. At the same time, we continue to advance the technology and data foundations for the next generation of security.
Four hard security problems. One AI-native approach.
Scattered detections rarely tell the whole story
Disconnected IOCs, TTPs, and detection events make it difficult to reconstruct an attack’s path, context, and intent.
THREAT CONTEXTUnknown threats slip past existing rules
Signatures and known patterns alone can miss novel and evolving threats.
KNOWN + UNKNOWN THREATSThe later credential exposure is detected, the less time you have to respond
The longer exposed corporate credentials go undetected, the less time teams have to respond to account abuse and limit downstream impact.
EARLY WARNINGSecurity AI needs data that is both secure and reliable.
Sensitive internal data needs to stay protected, while security AI requires high-quality threat data for training and validation.
SECURE + AI-READY DATAAI security solutions and the research behind them.
AI for Security — how can it fit into your environment?
From product adoption to technical collaboration, we’ll connect you directly with the right SANDS Lab team for your needs.
Product Adoption · PoC
We’ll review how CTX, MNX, and IDPW fit your environment and how they can integrate with your existing security systems.
AI R&D · Technical Collaboration
We’ll discuss joint research, projects, and data collaboration based on our Cybersecurity sLLM and Cybersecurity AI Dataset.