> ## Documentation Index > Fetch the complete documentation index at: https://docs.webacy.com/llms.txt > Use this file to discover all available pages before exploring further. # Historical Analysis > How Webacy mines historical onchain data on exploits, depegs, freezes, and governance failures to train risk detection and surface recurring attack patterns. While real-time monitoring is essential for identifying emerging risks, historical analysis provides the context needed to understand **why** those risks occur and **how** they evolve over time. The Webacy Risk Framework continuously learns from historical blockchain events, enabling new threats to be evaluated against years of observed market behavior, protocol failures, malicious activity, and operational incidents. Every major event contributes to improving the framework's methodologies, risk factors, and detection engines. ## Learning From the Blockchain Blockchain is one of the few financial systems where nearly every action is permanently recorded. This historical transparency allows Webacy to study how risks develop over time, from the earliest warning signs through the final outcome, and identify patterns that can be incorporated into future analyses. Rather than treating incidents as isolated events, Webacy continuously expands its knowledge base to recognize similar behaviors across new assets, protocols, and market conditions. ## Address Freeze Intelligence One example of this historical intelligence is Webacy's [**Address Freeze Tracker**](https://dapp.webacy.com/rwa?tab=freeze). Many centralized issuers maintain the ability to freeze assets in response to fraud, sanctions, theft, legal orders, or compliance actions. Webacy continuously monitors these events to understand how and when freezes occur, which entities are affected, and how these patterns evolve across issuers and ecosystems. Beyond simply recording freeze events, this historical dataset helps identify recurring behaviors, improve compliance intelligence, and strengthen future risk assessments. ## The Graveyard The Webacy [**Asset Graveyard**](https://dapp.webacy.com/rwa?tab=graveyard) documents digital assets that have failed due to exploits, depegs, insolvencies, governance failures, liquidity crises, fraud, abandonment, or other catastrophic events. For each asset, Webacy captures both the outcome and the sequence of events that led to it. By studying these historical failures, the Risk Framework continuously improves its ability to identify similar structural weaknesses before they develop into larger incidents. ## Continuous Learning Historical analysis is an active part of the Webacy Risk Framework. Every significant blockchain event, from exploits and depegs to governance failures and compliance actions, is analyzed to identify patterns that strengthen future risk detection. As the ecosystem evolves, these insights continuously improve our risk factors, detection engines, and scoring methodologies, making the platform smarter with every event it observes. ## What's Next Discover the core intelligence engines that transform blockchain data into actionable risk intelligence.