Gartner defines adversarial exposure validation (AEV) as technologies that deliver consistent, continuous and automated evidence of the feasibility of an attack. These technologies confirm how potential attack techniques would successfully exploit an organization and circumvent prevention and detection security controls. They achieve this by performing attack scenarios and modeling or measuring the outcome to prove the existence and exploitability of exposures. AEV is generally delivered as a SaaS solution with or without on-premises agents. AEV technologies provide automated execution of both simplified and/or extensible attack scenarios. Results data from an executed attack scenario is used for various outcomes, such as: validating a theoretical exposure as real, automating frequent controls testing, improving preventive security posture or improving detection and response capabilities.
Exposure assessment platforms (EAPs) continuously identify and prioritize exposures, such as vulnerabilities and misconfigurations, across a broad range of asset classes. They natively deliver or integrate with discovery capabilities, such as assessment tools, that enumerate exposures, like vulnerabilities and configuration issues, to increase visibility. EAPs use techniques like threat intelligence (TI) to analyze an organization’s attack surfaces and weaknesses, and prioritize treatment efforts for high-risk exposures by incorporating threat landscape, business and existing security control context. Through prioritized visualizations and treatment recommendations, EAPs help provide direction for mobilization, identifying the various teams involved in mitigation and remediation. EAPs are primarily delivered as self-hosted software or as a cloud service, and may use agents for exposure information collection.