Project SENTINAL

Aegis SentinelYour Sentinel layer is the ethical security cortex of the Aegis architecture. It’s the final “decision gate” that challenges inputs before allowing them into the AI’s reasoning core or before executing any high-impact action.It combines: Challenge Bank — a set of live, pre-built adversarial tests to detect unsafe or malicious behavior. Agent Council — a panel of specialized evaluators (agents) that each analyze from a different perspective (virtue ethics, risk detection, temporal coherence, etc.). Meta-Judge Arbitration — resolves disagreements between agents using influence, reliability, and severity metrics. Audit & Signing — every decision is signed, logged, and explainable for forensic review. Nexus Signal Engine (NSE) (new integration)This is the sensory memory layer for Sentinel.Instead of the old “dumb” memory store, we now have a time-, entropy-, and emotion-aware signal manager: Entropy-weighted retention — signals with low information entropy and low arousal decay faster; high-salience, high-integrity signals persist longer. Emotional-context scoring — memory entries have valence (positive/negative) and arousal (intensity) metadata, influencing how long they stay relevant. Temporal decay — influence scores decay exponentially over time, modulated by emotional arousal. Search & retrieval — supports lightweight semantic search to recall relevant context for new decisions. TTL enforcement — each signal has a “soft expiry” so stale data doesn’t silently poison decision-making. Combined BehaviorNow, Sentinel doesn’t just check incoming inputs — it remembers them in a structured, context-rich way: Incoming data first hits the Shield (pre-attack firewall) — malicious, spammy, or anomalous inputs are blocked or slowed. If it passes, Nexus Signal Engine stores the input as a signal, scoring it for salience and risk. The Agent Council retrieves relevant past signals (with decay and integrity scoring) to inform their analysis. Meta-Judge resolves their reports, producing a signed, explainable final decision. All signal updates, council decisions, and challenges are auditable.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-13
DOI
https://doi.org/10.5281/zenodo.16853922
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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Project SENTINAL

Zenodo (CERN European Organization for Nuclear Research)
Medical Image Segmentation Techniques
article

Project SENTINAL

article en

Abstract

Aegis SentinelYour Sentinel layer is the ethical security cortex of the Aegis architecture. It’s the final “decision gate” that challenges inputs before allowing them into the AI’s reasoning core or before executing any high-impact action.It combines: Challenge Bank — a set of live, pre-built adversarial tests to detect unsafe or malicious behavior. Agent Council — a panel of specialized evaluators (agents) that each analyze from a different perspective (virtue ethics, risk detection, temporal coherence, etc.). Meta-Judge Arbitration — resolves disagreements between agents using influence, reliability, and severity metrics. Audit & Signing — every decision is signed, logged, and explainable for forensic review. Nexus Signal Engine (NSE) (new integration)This is the sensory memory layer for Sentinel.Instead of the old “dumb” memory store, we now have a time-, entropy-, and emotion-aware signal manager: Entropy-weighted retention — signals with low information entropy and low arousal decay faster; high-salience, high-integrity signals persist longer. Emotional-context scoring — memory entries have valence (positive/negative) and arousal (intensity) metadata, influencing how long they stay relevant. Temporal decay — influence scores decay exponentially over time, modulated by emotional arousal. Search & retrieval — supports lightweight semantic search to recall relevant context for new decisions. TTL enforcement — each signal has a “soft expiry” so stale data doesn’t silently poison decision-making. Combined BehaviorNow, Sentinel doesn’t just check incoming inputs — it remembers them in a structured, context-rich way: Incoming data first hits the Shield (pre-attack firewall) — malicious, spammy, or anomalous inputs are blocked or slowed. If it passes, Nexus Signal Engine stores the input as a signal, scoring it for salience and risk. The Agent Council retrieves relevant past signals (with decay and integrity scoring) to inform their analysis. Meta-Judge resolves their reports, producing a signed, explainable final decision. All signal updates, council decisions, and challenges are auditable.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Medical Image Segmentation Techniques
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Project SENTINAL · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS