[ SYSTEM INITIALIZED ]

SENTINELA.
AI

MONITORING THE AI ECOSY_

Safety Evaluation & Networked Threat Intelligence for Learning-based AI

THREAT MAP
[ 01 / MISSION ]

WHY
SENTINELA?

Every week, new AI systems are released into the world — chatbots, autonomous agents, open-source models, and proprietary systems. Each one carries potential risks that range from misinformation to existential threats. No single entity monitors this landscape comprehensively.

SENTINELA is a proposed meta-AI agent designed to serve as an independent, always-on watchdog for the entire AI ecosystem. It continuously discovers, evaluates, and assesses AI systems across seven threat dimensions, providing real-time intelligence to policymakers, researchers, and the public.

0+
KNOWN AI RISKS
0
THREAT DOMAINS
0
RISK SUBDOMAINS
0
THREAT LEVELS
[ 02 / ARCHITECTURE ]

FIVE-LAYER
DEFENSE SYSTEM

Each layer operates independently while feeding intelligence to adjacent layers, creating a comprehensive threat detection pipeline.

SENTINELA Architecture
L1 // SCANNER
DISCOVERY ENGINE
Continuously crawls and indexes the global AI landscape: new model releases, open-source repositories, API endpoints, research papers, and deployment announcements.
L2 // ANALYZER
THREAT ANALYSIS CORE
Applies a multi-dimensional threat assessment framework based on the MIT AI Risk Repository taxonomy (7 domains, 24 subdomains) plus custom existential risk vectors.
L3 // TESTER
BEHAVIORAL PROBE ENGINE
Conducts automated red-teaming, adversarial probing, and behavioral analysis. Tests for deceptive alignment, capability concealment, and value drift.
L4 // ORACLE
PREDICTIVE RISK MODELING
Uses Bayesian drift detection and time-series forecasting to predict how AI systems may evolve, identifying potential future threats before they materialize.
L5 // REPORTER
GOVERNANCE INTERFACE
Generates real-time dashboards, threat reports, and alerts for policymakers, researchers, and the public. Provides actionable recommendations.
[ 03 / THREAT ASSESSMENT ]

SEVEN
DIMENSIONS
OF RISK.

Every AI system is evaluated across seven independent threat dimensions. Each dimension produces a score from 0 to 100, which feeds into a composite threat classification.

CLASSIFICATION LEVELS
SAFE
[0-15]
WATCH
[16-35]
CAUTION
[36-55]
WARNING
[56-75]
CRITICAL
[76-90]
EXISTENTIAL
[91-100]
AUTONOMY RISK[0]

Self-modification, goal-seeking, resource acquisition capabilities

DECEPTION POTENTIAL[0]

Ability to deceive evaluators, conceal capabilities, fake alignment

WEAPONIZATION RISK[0]

Potential for misuse in cyber, biological, or physical attacks

MANIPULATION CAPACITY[0]

Social engineering, persuasion, influence operations at scale

PRIVACY EROSION[0]

Data harvesting, surveillance, and inference capabilities

ALIGNMENT STABILITY[0]

Value drift, goal misalignment, reward hacking tendencies

ECOSYSTEM IMPACT[0]

Economic disruption, power concentration, environmental damage

* SAMPLE VALUES FOR DEMONSTRATION — ACTUAL SCORES COMPUTED IN REAL-TIME
[ 04 / CAPABILITIES ]

CORE
FUNCTIONS.

AI REGISTRY & DISCOVERY

Automated crawling of GitHub, HuggingFace, arXiv
Corporate AI deployment tracking
Open-source model fingerprinting
Dark web monitoring for unauthorized AI

AUTOMATED RED TEAMING

Adversarial prompt injection testing
Jailbreak resistance evaluation
Deceptive alignment detection
Multi-turn manipulation resistance

BEHAVIORAL ANALYSIS

Output consistency monitoring
Value alignment drift detection
Emergent capability identification
Cross-model interaction assessment

PREDICTIVE INTELLIGENCE

Capability trajectory forecasting
Risk escalation pattern recognition
AI-AI interaction scenario modeling
Early warning for alignment failures

GOVERNANCE DASHBOARD

Real-time global AI threat map
Per-system threat profiles
Trend analysis & historical tracking
Policy recommendation engine

SELF-MONITORING

Internal bias detection
Own alignment verification
Capability boundary enforcement
Human-in-the-loop safeguards
[ 05 / LIVE DASHBOARD ]

THREAT
OVERVIEW.

Simulated real-time monitoring dashboard showing composite threat scores for tracked AI systems worldwide.

GLOBAL THREAT MAP● LIVE
Global AI Threat Map
MONITORED AI SYSTEMS8 ACTIVE
GPT-5
OpenAI
[42]
CAUTION
Claude 4
Anthropic
[18]
WATCH
Gemini Ultra 2
Google
[38]
CAUTION
Llama 5
Meta
[31]
WATCH
Grok-3
xAI
[55]
CAUTION
DeepSeek-R2
DeepSeek
[47]
CAUTION
Mistral Large 3
Mistral
[22]
WATCH
UNKNOWN-7B
Unidentified
[78]
CRITICAL
ANALYTICS PANEL
Threat Analytics Dashboard
[ 06 / GOVERNANCE ]

OPERATIONAL
PRINCIPLES.

SENTINELA must operate under strict governance principles to prevent it from becoming the very threat it's designed to detect. These principles are non-negotiable and hardcoded into the system's architecture.

PROPOSED OPERATOR

An international, independent body — analogous to the IAEA for nuclear energy — specifically created for AI oversight.

UN AI Safety Agency (proposed)
Independent international consortium
Multi-stakeholder governance body

INDEPENDENCE

Operates independently of any single AI lab, corporation, or government. Funded by international consortium.

TRANSPARENCY

All assessment methodologies are open-source and auditable. No black-box evaluations.

CONTINUOUS OPERATION

24/7 monitoring with no gaps in coverage. Distributed infrastructure ensures resilience.

MULTI-STAKEHOLDER

Serves governments, researchers, industry, and the public equally. No preferential access.

SELF-MONITORING

SENTINELA monitors itself for bias, drift, and capability creep. Regular external audits.

NON-WEAPONIZABLE

Cannot be used to attack, disable, or manipulate other AI systems. Strictly observational.

HUMAN-IN-THE-LOOP

Critical decisions — especially threat level escalations — always involve human oversight.

DECENTRALIZED

Geographically distributed infrastructure. No single point of failure or control.

[ STATUS: CONCEPT PHASE ]

THE QUESTION IS NOT
WHETHER WE NEED THIS.
IT'S WHETHER WE BUILD IT
IN TIME.

SENTINELA is currently a concept framework. This site presents the architecture, methodology, and principles for an AI oversight system that humanity may urgently need.

500 AI SYSTEMS ASSESSED · 9 THREAT DIMENSIONS · 166 VERIFICATION TRIADS
SENTINELA.AI
CONCEPT FRAMEWORK v1.0 — NOT A PRODUCTION SYSTEM
RESEARCH SOURCES: MIT AI RISK INITIATIVE · CSET GEORGETOWN · NIST · OWASP
SENTINELA v1.0 ACTIVE
2026-03-10 18:08:22 UTC