NopSec Cyber Threat Exposure Management Platform

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

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.

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

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.

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

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

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

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

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.

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.

Enforces remediation deadlines by severity, reports on SLA compliance, and escalates overdue findings through configured approval chains.

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

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

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.

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.

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

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.

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.

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

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.