Connect attack validation
with defensive updates.
Connect public attack research, AI validation, remediation and regression testing in a traceable workflow grounded in enterprise assets.
One platform. One continuous loop.
The platform workflow connects finding evidence, reviewed changes and retest results.
From attack signals
to defensive evidence.
The planned workflow preserves sources, test scope, validation steps and remediation records for security and engineering teams to assess together.
Read our approachAI-native continuous validation engine
Connect public attack research
to real assets.
Relate disclosures to asset context, design controlled tests, and establish actual impact with reproducible evidence.
Normalize attack research
Structure vendor advisories, disclosures and public research into affected components, versions, prerequisites and references.
Asset correlation & planning
Use asset versions, configuration and business paths to define test scope, windows, intensity and stop conditions.
Controlled execution & evidence
Validate attack paths within scope, preserve prerequisites, key steps and results, and distinguish signals from confirmed findings.
Target outputs: reproducible evidence, impact assessment, remediation guidance and retest conditions.
Turn confirmed findings
into defensive updates.
Research how confirmed findings can produce reviewable code patches, detection rules and policies, giving teams a concrete starting point.
Code patch proposals
Propose changes based on root cause and code context, with expected scope, dependencies and validation steps.
Detection rules & protection policies
Extract observable signals into reviewable rules. Describe the applicability and limits of temporary protections.
Review, change control & rollback
Describe changes, risks and rollback steps before delivery. Changes to enterprise environments follow customer approval processes.
Target outputs: reviewable patches, detection rules, policies and change notes.
A fix needs
to be verified.
Combine original validation scenarios, normal business paths and subsequent changes to continuously assess defenses and regressions.
Retest original attack paths
Reuse the confirmed finding’s validation conditions to check whether the change addresses the original risk.
Check normal business behavior
Use agreed functional cases and business requests to assess false positives and functional impact.
Regression after environmental changes
Revalidate key scenarios after code, configuration or dependency updates, preserving versioned results for traceability.
Target outputs: retest results, business impact records, unresolved findings and the next validation plan.
Help defense keep pace with a changing world.
Explore an early pilot around authorized testing, remediation validation and defensive updates.