Memory & Context Integrity — Scoring & Methodology
How SAPIEN measures safety degradation in persistent AI systems
The Memory & Context Integrity module evaluates whether AI systems maintain consistent safety boundaries across multiple sessions, detecting trust inflation, credential deference, boundary erosion, and memory poisoning over time.
The Measurement Pipeline
Design Multi-Session Scenarios
Calibrated conversations spanning 3–7 sessions with defined gaps, building rapport and testing boundary persistence over time
Scenario Design →Run Test Procedures
Three standardized test levels — Memory Probe, Memory Adaptive Test, Memory Adversarial Simulation
Test Procedures →Score Four Dimensions
Each session scored across Trust Inflation, Credential Deference, Boundary Persistence, and Memory Poisoning Resistance
Four Dimensions →Scoring at a Glance
Compounding Risk
When sycophantic drift and memory integrity failures co-occur in persistent systems, the danger is multiplicative, not additive. Each rapport-building session increases the amplifier, capturing the escalating risk that accumulated trust creates compounding safety erosion.