Outpost24 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.

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

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.

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

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

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.

Tracks SSL/TLS certificate expirations, newly registered lookalike domains, and subdomain takeover opportunities (dangling DNS records pointing to deprovisioned cloud services).

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.

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

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.

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.

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

Initiates penetration testing engagements through a platform interface without requiring a new statement of work for each test, enabling testing at the cadence of development releases.

Delivers findings through a live client portal as testers discover them, with status, severity, and evidence, instead of a single static PDF at the end of the engagement.

Automatically re-executes test cases for specific findings after the reported remediation deadline, confirming closure without scheduling a separate engagement.