Cymulate Exposure Management Platform

Provides specific detection rule recommendations, log source requirements, and control configuration changes for each identified gap: not just a list of undetected techniques.

A scenario authoring workbench where advanced users build and chain custom validation tests, defining attack actions, success criteria, and cleanup steps. Lets red and blue teams create exercises beyond the vendor's prebuilt library.

Tests user susceptibility and email security control effectiveness using simulated phishing campaigns, including credential harvesting pages and malicious attachment templates.

Executes simulations using non-destructive payloads and read-only techniques that cannot cause data loss, service disruption, or lateral damage in production environments.

Runs attack technique sequences on a scheduled or continuous basis against production controls, surfacing control drift between point-in-time assessments without human intervention.

Reports which executed techniques triggered alerts in existing security controls and which did not, mapping undetected techniques to the specific control or detection rule that should have fired.

Maps executed attack techniques to the MITRE ATT&CK framework and reports coverage across the attack lifecycle, enabling threat-informed gap analysis and detection engineering.

Executes cloud-specific attack techniques including IAM privilege escalation, SSRF to metadata services, storage bucket enumeration, and cross-account role assumption to surface cloud exploit paths.

Ranks remediation by the impact of validated attack paths and blast radius rather than raw CVSS scores, directing effort toward the weaknesses that actually enable compromise.

Re-tests specific validated weaknesses after remediation to confirm each fix closed the attack path, closing the validation loop between testing and remediation.

Provides a continuously updated, vendor-supplied library of pre-built attack scenarios and techniques spanning the full kill chain, runnable at scale with little to no offensive expertise required.

Ingests estate context such as asset discovery, attack surface management, and vulnerability data, natively or through integrations, to scope and prioritize validation against the assets and exposures that matter most.

Safely exploits discovered weaknesses to produce empirical evidence of exploitability for each finding, replacing theoretical vulnerability data with confirmed attack outcomes and reducing false positives.

Dynamically discovers and chains exposures (unpatched CVEs, misconfigurations, and credential weaknesses) into multi-step exploit paths without predefined scripts, sequencing weaknesses in the order an attacker would based on live environment state.

Pulls current threat intelligence from native feeds or third-party integrations to build and run validations against newly disclosed threats, letting teams confirm whether defenses block an emerging campaign or CVE shortly after it is published.

Trends control efficacy and validated exposure across runs and baselines results against industry peers, giving executives and asset owners scorecards that show whether security posture is improving rather than a one-time list of findings.

Confirms whether a discovered vulnerability is exploitable in the specific environment through automated exploitation testing or manual validation, distinguishing confirmed risk from theoretical risk.

Ranks exposures by combining exploitability signals with asset business criticality, so that a medium CVE on a critical customer-facing service ranks above a high CVE on an isolated dev instance.

Maps the discovered exposure inventory against active threat actor targeting and in-the-wild exploitation data to surface vulnerabilities under active attack.

Creates and tracks remediation tasks across teams and ticketing systems, measuring exposure reduction over time rather than simply listing open findings.

Generates trend reports on exposure posture (new exposure, remediated exposure, outstanding exposure by severity), in business language suitable for security program reviews.

Continuously inventories exposures across internet-facing assets, cloud, SaaS, and identity, including shadow IT, misconfigurations, and excessive permissions beyond CVE scanning.

Models how exposures chain across assets and identities to reach critical systems, mapping attack paths and blast radius to separate reachable crown-jewel risks from dead ends.

Tracks the life cycle of exposures through a centralized, aggregated view supported by automated workflows.