Proven in a lab isn't proven in your production.
AI vulnerability researchers now find real bugs and prove them with working exploits — inside a purpose-built test environment. Your environment has a WAF, segmentation, an identity graph and compensating controls. Mythos Readiness Validation issues the verdict on every claimed finding against your deployed estate, then re-runs the exploit after the patch to prove it closed.
What Mythos Readiness Validation does
- Replays each claimed-exploitable finding against your live, deployed estate — not a lab clone.
- Issues a clear verdict per finding: exploitable in your production, blocked by a control, or not reachable.
- Scores readiness across six dimensions so you can see where validation actually breaks down.
- Re-runs the original exploit after remediation to prove the fix closed the path.
- Keeps a verdict ledger as durable evidence for engineering, leadership and auditors.
Why lab proof isn't production proof
A working exploit in a researcher's sandbox says the bug is real. It does not say the bug is reachable, exploitable or business-impacting in your estate. Compensating controls, network segmentation, identity boundaries and WAF policy all change the answer — and only a test against the deployed system can settle it.
Six standalone point solutions
Mythos Readiness Validation ships as six point solutions that can be adopted individually or as a full program, covering claimed-finding triage, production exploit replay, control-efficacy verification, patch re-validation, readiness scoring and continuous evidence retention.