Maintaining application resilience when frontier AI outpaces the patch
Exploitation now outruns the patch cycle. Reduce exposure and hold the line in the data path while you patch.
Frontier AI has changed the timing of application security. Models analyze unfamiliar codebases, find weaknesses, and chain them into working exploits in a fraction of the time a skilled team once needed. The interval between a vulnerability becoming known and being exploited has collapsed from weeks toward hours, and in some cases exploitation precedes disclosure. The fundamentals still matter. What changed is the time to act on them, so resilience depends on controls that reduce exposure while a fix is developed, tested, and deployed.
Build resilience when the window collapses
Enforce and detect at machine speed
Consistent WAF and API controls, continuous detection
Buy time with runtime protection
Block threats in the data path, even with no patch yet
Patch faster across the fleet
See what needs updating and deploy fleet-wide in days
Build the operational muscle for frontier AI defense
Assess exposure, deploy runtime protection, automate updates.