Lasso is a security platform built for AI systems—observability, governance, and defense across LLMs and autonomous agents in production. The stack reflects a dual-layer architecture: Node.js/NestJS backend for control plane operations, Python/FastAPI for ML-driven analysis (scikit-learn, PyTorch, Transformers), and cloud infrastructure (AWS, GCP, Azure, Kubernetes) for multi-tenant deployments. Active projects show focus on LLM analysis tooling, adversarial attack detection, and private-cloud deployments—a pattern consistent with enterprises moving AI workloads into controlled environments.
Lasso provides end-to-end security for enterprise AI deployments, spanning used models, built agents, and shipped applications. The platform combines observability (real-time monitoring of LLM behavior), governance (policy enforcement across AI systems), and active defense against adversarial attacks and data exfiltration. Founded in 2023 and based in Tel Aviv, the company is an 11–50 person operation with a senior-heavy engineering and security blend, currently decelerating hiring velocity. Target customers are enterprises standardizing on AI while navigating regulatory and operational risk.
Node.js and NestJS for backend, Python with FastAPI, PyTorch, and scikit-learn for ML analysis. Cloud: AWS, GCP, Azure; orchestration via Kubernetes and Docker; IaC with Terraform and CloudFormation.
LLM security research and analysis tools, private-cloud and hybrid deployments, adversarial attack detection, high-throughput data pipelines, and enterprise-scale ML model deployment integration.
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