vRx

Creates ITSM change records (ServiceNow, Jira Service Management), as part of the patch workflow, maintaining audit trail and change management compliance.

Applies OS and application patches to vulnerable systems automatically based on configurable risk thresholds, without requiring per-patch analyst approval.

Validates patch impact in a staging environment or test clone before applying to production, reducing remediation-caused service disruption risk.

Reverts applied patches to the pre-patch system state when post-deployment stability issues are detected.

Pairs each finding with a recommended remediation action scoped to the affected assets and routes it through a human approval step before execution, with policy rules defining which actions may run without approval.

Blocks exploit paths for a disclosed vulnerability at the memory level of the running application, without a vendor patch, reboot, or binary change, bridging the gap between disclosure and patch availability or covering end-of-life software.

Re-scans the asset after a patch, script, or mitigation executes and confirms the vulnerability is no longer present, rather than marking the finding closed on task completion.

Executes custom, community, or AI-generated scripts (PowerShell, Bash, Batch) on affected assets to close vulnerabilities that have no patch path, such as registry misconfigurations and hardening gaps.

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.

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

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

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.

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

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

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

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.

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

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.

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.

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.

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

Pushes a mitigation for a prioritized exposure directly to a security control, for example a firewall, endpoint, or posture-management rule, as a compensating measure when a patch is unavailable or delayed, and tracks that mitigation alongside the exposure until it is remediated.

Uses generative AI to produce exposure-specific fix instructions, scripts, or remediation playbooks from the finding and its asset context, so remediation owners receive an actionable plan instead of a generic advisory.