AEGIS DeFi/Web3 Trust Framework V2.0

An open-source trust toolkit for a safer, more transparent digital future

The Trust Gap in Digital Markets

DeFi and Web3 are rich in innovation—but also risk, complexity and scams. This “trust gap” slows mainstream adoption. AEGIS exists to close that gap: an impartial, open-source standard to help build a safer, more transparent digital ecosystem for everyone.

Three Layers of Protection

Layer 1 Technical Layer Confidence in code and mathematics Layer 2 — Operational Layer — Confidence in process and governance Layer 3 — Social & Human Layer — Confidence in people and community Layer 2 Layer 3

Five Pillars of Trust

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Architecture (A)
Is the code robust, secure, and independently reviewed?
📈
Economics (E)
Are token economics sustainable and resilient to manipulation?
⚖️
Governance (G)
Who holds authority, and are there guardrails against abuse?
🛡️
Identity & Insurance (I)
Is the team credible, and are there safety nets for users?
👥
Social & Oversight (S)
Is the community healthy and communications transparent?

Pillar Weights in the AEGIS Score

Architecture
Economics
Governance
Identity & Insurance
Social & Oversight
The final AEGIS score is a weighted average of the five pillars, reflecting their relative importance for overall trust. Technical security and economics form the foundation—50% combined.

Engine: AEGIS Cerebrum AI

Driven by AI, verified by humans

AEGIS Cerebrum is our always-on AI engine. It aggregates evidence and performs first-pass analysis so human experts can focus on deep review and context-aware decisions. This human-in-the-loop approach blends AI scale with human judgment.

🤖
Code Sentinel
Scans smart contracts for known vulnerabilities
🧠
Economic Modeler
Stress-tests tokenomics under volatile market scenarios
📡
Social Listener
Analyzes community signals for early-warning insights

New Dimension: Regulatory Readiness

Bridging to the mainstream

To be widely accepted, projects must navigate complex regulatory realities. The Regulatory Readiness Score (RRS) is a new metric in AEGIS evaluations—not legal advice, but a signal of preparedness for regulatory scrutiny, considering factors like legal structure, terms of service, and risk disclosures.

A higher RRS indicates proactive, responsible operations—making a project more compelling to traditional financial institutions.

AEGIS Workflow: A Living Standard

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2
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Steps 1–2

Onboarding & AI analysis

Projects submit evidence; AEGIS Cerebrum collects and analyzes data across the five pillars.

Steps 3–4

Drafting & human verification

AI drafts an initial report; human reviewers investigate flagged issues, apply context, and confirm findings.

Steps 5–6

Publication & continuous monitoring

Publish the final report and issue the “AEGIS seal”. The AI continues monitoring for material changes to keep the score current and relevant.

AEGIS Score Snapshot

80%
Governance
75%
Risk
85%
Transparency
90%
Security
70%
Compliance