In a significant move aimed at bringing transparency and standardization to Web3 risk assessment, HAI Group—the parent company of the Hacken ecosystem—has launched the CORE.3 risk intelligence platform. Its centerpiece is the introduction of the Probability of Loss (PoL), a forward-looking, data-driven metric designed to quantify the operational and security risks of engaging with a crypto project.
This launch addresses a critical gap in the industry. Traditional metrics like Total Value Locked (TVL) or market sentiment often fail to capture underlying vulnerabilities, from smart contract risks to centralization issues. CORE.3's PoL framework aims to translate complex on-chain and off-chain data into a single, comparable score, offering a structured alternative for due diligence.
The New Standard: HAI Group's CORE.3 platform dashboard visualizes the revolutionary Probability of Loss (PoL) metric, providing a comprehensive, data-driven assessment of Web3 project risks across security, operations, and financial transparency categories.
📊 Platform Visualization | 🔐 Source: HAI Group CORE.3 Press Release
"This represents a paradigm shift from qualitative, sentiment-based risk assessment to a quantitative, data-driven model. By introducing a standardized PoL score, it provides a common language for institutions and users to evaluate project risk, potentially reducing information asymmetry in Web3."
The PoL Assessment Framework: By The Numbers
CORE.3's comprehensive risk assessment methodology. Sources: HAI Group Documentation.
Decoding the Probability of Loss (PoL) Framework
The PoL is not a simple rating but a calculated probability score derived from a multi-layered analysis of over 100 data points. The methodology is structured into three distinct tiers to ensure objectivity and depth:
| Tier | Name | Purpose & Example |
|---|---|---|
| 1. Conditions | The Evidence | Raw, factual data points (e.g., "Audit findings remediated? Yes/No", "Admin key management protocol"). |
| 2. Metrics | The Focus | Grouped assessments in specific areas like Smart Contract Risk, Financial Reserve Transparency, or Team Doxxing. |
| 3. Categories | The Weight | High-level risk domains (Security, Financial, Operational, etc.) that apply strategic weighting, prioritizing critical factors like security over others. |
This structured approach culminates in a numerical PoL score, where a higher score indicates a higher probability of financial loss. Notably, the platform includes a "Proof-of-Opinion" layer for subjective factors like market relevance, but this is kept separate to preserve the PoL score's quantitative integrity.
Important Note: "HAI Group explicitly states CORE.3 is not a ratings agency and its PoL metrics do not constitute investment advice. The platform is presented as a voluntary, self-regulatory tool for risk intelligence."
Open Access & The Path to Self-Regulation
CORE.3 is launching as an open-access framework. The platform initially provides risk assessments for 50 digital asset projects, with plans to expand to over 1,000 in the next quarter. Projects have two paths: they can remain passive, with scores generated from publicly available data, or actively participate by verifying data and addressing flagged risks in their profile.
This model is designed to incentivize transparency and self-regulation. A project that actively engages to improve its risk factors could see its PoL score adjust accordingly, creating a dynamic feedback loop. Risk profiles and submission tools are live at app.CORE3.io.
Beyond TVL & Hype: Visual representation of how the Probability of Loss (PoL) framework fundamentally differs from traditional indicators like Total Value Locked (TVL). While TVL measures capital deployed, PoL assesses underlying risk factors that could lead to actual financial loss.
📈 Data Visualization | ⚡ Conceptual Analysis: Traditional Metrics vs. Risk Intelligence
By operating as an open, participative framework, CORE.3 positions itself not as a gatekeeper but as infrastructure for market maturity. It empowers projects to proactively manage their risk posture and gives the community a tool for more informed comparison.
Implications for the Broader Web3 Ecosystem
The introduction of a standardized risk metric like PoL could have far-reaching consequences:
| Stakeholder | Potential Impact | Key Benefit |
|---|---|---|
| For Institutions | Provides auditable data point for compliance and due diligence | Lowers barrier to entry for institutional capital |
| For Projects | Creates benchmark for security and operational practices | Favorable PoL score becomes competitive advantage and trust signal |
| For the Industry | Moves conversation beyond hype towards risk management | Fosters culture of transparency and accountability |
It is crucial to note that HAI Group explicitly states CORE.3 is not a ratings agency and its PoL metrics do not constitute investment advice. The platform is presented as a voluntary, self-regulatory tool for risk intelligence.
The Road Ahead: Scaling & Adoption
Key future milestones for CORE.3 platform adoption and growth.
The launch of HAI Group's CORE.3 platform and its Probability of Loss metric represents a foundational shift in how Web3 projects are evaluated. By moving from sentiment-based assessment to data-driven risk quantification, it addresses critical gaps in market transparency. While not a silver bullet, the PoL framework provides a much-needed common language for risk assessment that could accelerate institutional adoption and raise the bar for security and operational standards across the entire crypto industry.
FAQ: Understanding HAI Group's CORE.3 and PoL Metric
What is the Probability of Loss (PoL)?
The PoL is a forward-looking, numerical score developed by HAI Group's CORE.3 platform. It estimates the likelihood of financial loss when interacting with a Web3 project (e.g., providing liquidity, investing) based on a data-driven analysis of over 100 risk factors across security, operations, and finance.
How is PoL different from a credit rating or a security audit?
PoL is a holistic operational risk metric. While an audit checks code correctness at a point in time, PoL continuously assesses broader risk categories like team structure, financial reserves, and regulatory compliance. It is not a binary pass/fail but a spectrum of probability.
Can projects influence their own PoL score?
Yes. The CORE.3 platform encourages active participation. Projects can verify the data used in their assessment and demonstrate actions taken to mitigate identified risks, which can lead to an improved PoL score over time.
About the Author: Sophia Laurent
Sophia Laurent is a Senior Crypto Analyst specializing in Layer 1 blockchain ecosystems and token economics. With a background in fintech and market research, she focuses on decoding the fundamentals behind market movements and the long-term implications of major protocol upgrades and launches.
Disclaimer: This content is for informational purposes only and does not constitute financial, legal, or investment advice. The cryptocurrency market is highly volatile. Always conduct your own thorough research and consult with qualified financial and legal advisors before making any investment decisions.