AI-powered endpoint and cloud security platform with managed services
SQ1 Security builds endpoint, cloud, and threat-detection platforms using a modern ML stack (PyTorch, Hugging Face, vLLM, RAG, FAISS) alongside traditional security tools (YARA, Snort, Suricata, MITRE ATT&CK). The engineering-forward hiring mix and active projects around fine-tuning Llama 3 for security contexts, LLM deployment, and AI-driven SOC capabilities signal a shift toward AI-native threat detection and alert triage—addressing their core challenge of reducing alert fatigue while improving detection speed.
SQ1 Security is a Dallas-based cybersecurity vendor founded in 2017, operating across 201–500 employees. The company provides end-to-end security and compliance solutions spanning vulnerability management, threat detection (SIEM, XDR, SOAR), penetration testing, and digital forensics, with managed services covering assessment, protection, detection, and incident response. Customers span healthcare, financial services, government, retail, manufacturing, and technology sectors across the US, Europe, Middle East, India, and Africa. Current execution priorities include SOC 2 certification, GDPR compliance, and AI-native security workflows.
PyTorch, Hugging Face, vLLM, RAG, FAISS, Weaviate for ML; AWS, GCP, Azure for cloud; YARA, Snort, Suricata for signature detection; MITRE ATT&CK for threat modeling; FastAPI, React, Laravel for application layers.
Fine-tuning Llama 3 for cybersecurity, deploying LLMs via vLLM and FastAPI, building security data pipelines, AI-driven SOC capabilities, alert triage automation, SOAR workflow automation, SOC 2 and GDPR compliance initiatives.
Other companies in the same industry, closest in size