AI-powered human risk management platform for phishing simulations and security training
Keepnet builds a human risk management platform combining phishing simulations, adaptive training, and threat response tooling. The stack (Azure, AWS, .NET, Kubernetes, Vue) and active projects show a shift toward agentic AI and real-time API automation—but the pain-point list flags scaling challenges with agentic systems and operational complexity. Hiring (engineering-led, with a new Head of Engineering) is accelerating, pointing to infrastructure and backend maturity work ahead of sales expansion.
Notable leadership hires: Head of Engineering
Keepnet is a London-based cybersecurity startup founded in 2017 that addresses human-driven security risk through a consolidated platform. The product surfaces three main capabilities: phishing simulations to test employee awareness, adaptive training to reduce susceptibility to social engineering, and phishing response workflows to accelerate threat detection and remediation. The company targets mid-market enterprises where security teams struggle with alert velocity and breach attribution. Keepnet operates as a SaaS product on Azure and AWS infrastructure, with a backend architecture built in .NET and Kubernetes. Current hiring reflects a dual focus: backend and platform engineering (scaling SaaS infrastructure and agentic AI) alongside a single sales hire (UK direct expansion).
Keepnet uses .NET, Azure, AWS, Kubernetes for infrastructure; Vue and Nuxt for frontend; TypeScript and JavaScript for application code; HubSpot for CRM; Sentry for error tracking; Cloudflare for edge services.
Core projects include agentic AI systems, distributed SaaS architecture, API-driven automation for security workflows, and AI-assisted user experiences. Pain points flagged are scaling agentic systems and strengthening platform reliability.
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