SimLab Launch: Scenario-Based Training and Simulation Framework
This release introduces SimLab, a new simulation-driven training layer designed to model real-world cybersecurity scenarios and decision-making. It establishes the foundation for interactive, agent-driven simulations while expanding the platform beyond deterministic labs into experiential training.
- SimLab: launched simulation framework for scenario-based cybersecurity training
- SimLab: introduced basic (text-based) simulation mode with decision-driven multiple-choice flows
- SimLab: established rendering modes to support basic, static UI, and future interactive simulations
- SimLab: added CAPTCHA-based social engineering scenario as an initial simulation use case
- UI: integrated SimLab into the platform navigation and core product structure
- UI: updated Labs row to integrate SimLab and refine overall product navigation structure
- UI: improved sidebar hover states and interaction feedback
- Platform: laid foundation for agent-driven simulation generation and reasoning workflows
- Platform: expanded HuntCode beyond deterministic validation into real-world decision simulation
- Checkout: migrated to Paddle in-app modal for improved user experience and tax handling
- Checkout: removed legacy Lemon Squeezy integration
- Pricing: added B2B inquiry form to support enterprise and institutional onboarding
- UX: improved checkout modal loading states and overall interaction consistency
- UX: continued refinement of layout and component consistency across new and existing features