Description
DeepScan is a platform designed for AppSec and Red Teams to conduct comprehensive penetration tests across various digital environments, including applications, APIs, cloud, networks, mobile, and AI systems. It operates in both Autonomous and Copilot modes, allowing teams to set objectives and test alongside security agents in a shared workspace.
The platform features agentic penetration testing, where specialized agents perform in-depth pentests, pursue multi-step attack paths, and validate exploitability. Teams can direct testing, review findings, and track fixes while maintaining control over the testing process. DeepScan supports multi-agent execution, where agents share discoveries and adapt their tests to connect weaknesses into validated attack paths.
DeepScan provides a unified workspace for autonomous tests and pentester-led testing, enabling teams to add context, try hypotheses, and direct agents through chat. The platform is built for governance and safety, allowing teams to define approved scopes and rules of engagement, authorize testing, monitor agent activity, and review every action.
The platform is suitable for enterprise security teams, offering solutions for deep application testing, AI-native security, and enterprise security reviews. It supports both self-service and expert-led delivery through CyberImmune, offering CREST Certified pentests. DeepScan is built by CyberImmune, a Canadian cybersecurity company with extensive penetration-testing experience.
DeepScan operates globally from its headquarters in Toronto, with delivery presence in the United States and India. It is designed to make offensive security continuous, evidence-rich, and useful, providing traceable security evidence for assurance and customer reviews.
DeepScan's Core Features
Agentic penetration testing
Autonomous and Copilot modes
Multi-agent execution
Governance and safety controls
Unified workspace for testing
Specialized agents for various tasks
Evidence-driven intelligence
Global delivery presence
How to use DeepScan?
Configure: Set objectives and scope
Use: Direct agents and review findings
Optimise: Track fixes and validate exploitability
Steer: Monitor agent activity and adjust tests
DeepScan's Use Cases
- Application testing
- API security
- AI-native security
- Enterprise security reviews
- Compliance evidence

