AI-Native Post-Authentication Runtime Control Plane

We focus on the security problem that begins after login succeeds — determining whether an authenticated human, workload, service client, or delegated agent is still the legitimate subject, and constraining runtime behavior before exploitation spreads during the patch gap.

Not a vulnerability scanner or binary analysis engine. The downstream application-layer control plane that converts discovered risk into post-auth runtime actions — ALLOW · CHALLENGE · BLOCK · ESCALATE · PENDING — and exploit-window compensating controls.

It addresses a structurally important runtime security problem that upstream discovery alone does not solve.

1 min Setup Add dependency, add two annotations. Done.
Java
@SpringBootApplication
@EnableAISecurity
public class MyApplication {

    public static void main(String[] args) {
        SpringApplication.run(MyApplication.class, args);
    }
}

@Service
public class OrderService {

    @Protectable
    public Order getOrder(Long orderId) {
        return orderRepository.findById(orderId);
    }
}

Two annotations are all you need.

@EnableAISecurity
Activates AI-driven Zero Trust. One annotation on your main class, full protection.
@Protectable
Owner-based access control on any method. AI verifies every call against the user's baseline.

Ready to Get Started?

Add a single dependency, annotate your application, and let Contexa handle the rest. Full AI-powered zero trust security in under a minute.