Vulnerability, exposure, and cloud security posture management platform
SecPod builds preventive security software spanning vulnerability management and cloud-native application protection. Its stack pairs LLM tooling (GPT, Llama, Gemini, LangChain, LangGraph, LlamaIndex) with Kubernetes and multi-cloud infrastructure, matching active projects on AI agents for vulnerability management and Kubernetes security features. Hiring is minimal and engineering-only, concentrated in India at senior and manager levels.
SecPod is a privately held cybersecurity company founded in 2008 and headquartered in Redwood City, California, with 51–200 employees. Its Saner Platform includes Saner Cloud, a cloud-native application protection product focused on visibility, compliance, and risk reduction for cloud environments, and Saner CVEM, which handles continuous vulnerability and exposure management across endpoints and network infrastructure. The company sells to IT security teams, with customers in more than 50 countries. Its product scope also covers patch management, IT asset management, compliance management, and attack surface management.
SecPod uses Python, Java, Go, C++, React, PostgreSQL, MongoDB, ClickHouse, Kubernetes, Docker, Terraform, and AWS, Azure, and GCP, plus AI tooling like LangChain, LangGraph, LlamaIndex, PyTorch, and Hugging Face Transformers.
Job posts point to Kubernetes and container orchestration security features, generative AI solutions, AI agents for vulnerability management, and RAG pipelines.
SecPod's current hiring is in India and focused on engineering, at senior and manager levels. The company is headquartered in Redwood City, California.
Other companies in the same industry, closest in size
SecPod's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.