XM Cyber Continuous Exposure Management Platform

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

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

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

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.

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.

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.

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.

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.

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.

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.

Discovers assets and their exposures across the external, internal, cloud, and end-user attack surfaces, covering endpoints, network and on-premises infrastructure, identities and entitlements, hosts, containers, IoT and OT, and cloud platforms and applications, either through native discovery or by integrating third-party discovery sources, and reports vulnerabilities, misconfigurations, unmanaged assets, and compliance gaps in one inventory.

Confirms whether prioritized exposures are actually exploitable by running or ingesting adversarial validation results, such as breach and attack simulation or automated penetration testing delivered natively or by an integrated third-party tool, and re-ranks or closes exposures on the outcome so the queue reflects confirmed rather than theoretical risk.

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.

Ranks exposures by their accessibility, visibility, and exploitability combined with asset criticality, business impact, and the security controls already in place, so a medium-severity issue on a critical, reachable, unprotected service outranks a high-severity issue on an isolated or compensated one.

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.

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

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

Groups assets into business processes, applications, or protection surfaces with named owners and criticality, so each exposure management cycle is scoped to what the business must protect and exposure is assessed and reported per scope rather than across the whole estate.

Extends exposure discovery to digital assets and artifacts that external threat actors are actively abusing, such as leaked credentials, lookalike domains, exposed code, or digital supply-chain components seen on social media and the surface, deep, and dark web, natively or through a third-party feed, and folds them into the same exposure inventory and prioritization as internal findings.

Aggregates posture findings and policy enforcement across multiple cloud accounts, subscriptions, and projects from a single control plane, critical for organizations with 10+ cloud accounts.

Continuously discovers and inventories cloud resources across accounts, subscriptions and projects so posture assessment runs against a current, complete picture of the environment rather than a stale or partial asset list, and groups resources into collections by custom tags and account scope for targeted policies and reports. Coverage of newer and less common resource types varies across products.

Audits cloud service configurations across AWS, Azure, and GCP against security best practices and benchmarks, flagging misconfigurations such as public storage, permissive network rules, and disabled logging. Coverage breadth and per-service depth vary significantly across products.

Maps detected misconfigurations to specific control requirements across CIS Benchmarks, NIST 800-53, SOC 2, PCI DSS, HIPAA, and ISO 27001 in a single assessment pass.

Builds a graph of which human and machine identities can reach which compute, storage and data resources, resolving roles, groups, trust relationships and inherited policies into effective access, so risky access patterns and toxic combinations of administrator permissions are visible before they are exploited.

Identifies unused and excessive cloud permissions and toxic permission combinations and remediates them toward least privilege, generating right-sized policies and automatically revoking excessive administrator roles, with an approval workflow where required.

Chains misconfigurations, exposed network paths, vulnerable assets and excessive entitlements into possible attack paths from internet-facing entry points to sensitive resources, visualized on the cloud resource graph, so posture findings are prioritized by exploitability rather than severity alone. Built from configuration and identity posture data rather than runtime telemetry.

Continuously enumerates internet-exposed assets (domains, IPs, subdomains, certificates, cloud storage, APIs) using passive DNS, certificate transparency logs, and active probing, including assets outside the official inventory.

Ranks discovered exposures by combining exploitability signals, asset business context, and active threat intelligence to produce an actionable remediation queue.

Identifies cloud resources, SaaS applications, and exposed services deployed by business units without IT or security team visibility or approval.

Enumerates and monitors the attack surface of subsidiaries, acquired companies, and affiliated brands, common gap during M&A activity when new infrastructure is inherited without full visibility.

Aggregates and deduplicates findings from network scanners, endpoint agents, cloud scanners, and third-party tools into one normalized record for cross-estate risk ranking.

Scans cloud resource configurations and container image CVEs alongside traditional OS and application vulnerabilities in a unified risk view.

Cross-references the vulnerability inventory against live threat feeds tracking CVEs under active exploitation in the wild, surfacing vulnerabilities with confirmed attacker activity.

Continuously discovers external-facing assets (domains, IPs, cloud services, APIs, certificates) including assets deployed outside the official inventory.

Recommends the minimum patch set that eliminates the highest-risk exposure (accounting for shared libraries and patch co-dependencies), rather than presenting a ranked CVE list.

Creates tickets, assigns owners, and tracks remediation progress in ITSM platforms (ServiceNow, Jira), closing the loop between finding and fix rather than producing a static report.

Incorporates asset metadata (network exposure, business criticality, data classification) into vulnerability prioritization so that a critical CVE on an isolated internal test system ranks lower than a medium CVE on an internet-facing payment server.

Assigns likelihood-of-exploitation scores using threat intelligence, vulnerability characteristics, and active exploit availability, independent of CVSS, which measures severity rather than exploitability.