AI Zero-Trust Application Gateway
A dynamic intelligent access layer that continuously verifies identity, device health, user context, and behavioral risk to allow, challenge, or block requests.
The Problem
What difficult challenge is this experiment tackling?Static login passwords and basic session cookies leave web applications vulnerable to session hijacking, credential stuffing, and compromised employee devices.
The Hypothesis
What do I believe autonomous AI & engineering can accomplish?Continuously evaluating contextual risk factors (impossible travel speed, unusual request cadence, device fingerprint shifts) in real time enables dynamic step-up authentication.
System Architecture & Workflow
End-to-end design, data pipelines, and component interactionBenchmark & Empirical Metrics
Accuracy • Latency • Cost • Token Usage • Human InterventionUnder 8ms latency overhead added to incoming HTTP proxy requests; blocks 100% of simulated stolen cookie replay attacks.
Security, Privacy & Ethical Guardrails
Risk mitigation, strict boundaries, and sandbox controlsZero biometric storage; all risk calculations perform cryptographic hashing on client context parameters.
Lessons Learned & Observations
Empirical findings from prototyping and testingStepped authentication challenges should trigger only on high-risk anomaly spikes to prevent user friction.
Next Experiment Iteration
Upcoming modifications, scaling factors, or new hypothesesAdd hardware FIDO2 / WebAuthn passkey auto-prompting on step-up challenge triggers.