Neuralsec was founded by cybersecurity leaders with decades of experience building and operating security programs across global technology companies and high-growth engineering organizations, including Skype, Microsoft and Skyscanner.
That experience spans Product Security, application security, cloud security, security architecture, incident response and security leadership - in environments where security has to work across large engineering organizations, complex systems and continuously changing software.
Traditional AppSec assumes security teams can repeatedly inspect findings, reconstruct application context and manually follow every important change.
That model becomes increasingly difficult as organizations grow - and even more so as AI coding agents increase the volume and speed of software production.
We believe Product Security needs a different operating model:
Neuralsec is being built so security capacity does not have to scale linearly with repositories, findings, engineers or software changes.
AI is changing more than how code is written.
Software organizations are moving toward environments where agents increasingly implement, test, remediate and review changes alongside humans.
In that world, security cannot simply be another scanner running after the code is produced.
Security context needs to be available before, during and after the change:
Every finding and every change should make the next one safer.
Security should not rediscover the system for every finding or change.
Models reason. Evidence decides.
Recurring weaknesses should become stronger controls, secure patterns and engineering guidance.
Software can perform the continuous work; people should focus on material risk, architecture and exceptions.