When CTEM, AI and a unified attack surface meet

Continuous Threat Exposure Management (CTEM) addresses the gap between knowing you are exposed and understanding how attackers would exploit that exposure. The framework operates in five phases: scoping, discovery, prioritisation, validation and mobilisation. AI correlation engines solve the scale problem by ingesting signals across the full attack surface to construct live attack graphs and identify kill chains, including choke points whose remediation can neutralise multiple attack paths simultaneously. Unified visibility across internal vulnerabilities, external exposures, dark web intelligence and supply chain signals is essential for accurate kill chain modelling. The piece argues this approach is now accessible to mid-market organisations and MSSPs without large security teams, and promotes Redrok 2.0 as a platform delivering these capabilities.