Welcome to DAMASCO AI
Last updated
Last updated
Large Language Models (LLMs) represent a transformative leap in artificial intelligence, reshaping industries from finance to healthcare. As these advanced models become deeply integrated into everyday applications—providing real-time analytics, automated decision-making, and natural language interactions—the risks associated with prompt manipulation, data leaks, and unauthorized transactions grow exponentially. Traditional cybersecurity frameworks often overlook the novel attack vectors unique to LLMs, underscoring the urgency for a specialized security layer.
DAMASCO AI: a next-generation AI security framework designed to protect decentralized finance agentic ERA (DeFAI) and beyond from the evolving threats these models face. By acting as a real-time firewall for AI-driven interactions, DamascoGuard ensures that malicious prompts, fraudulent requests, and sensitive data exposures are promptly detected and mitigated.
As DeFi continues to evolve, it relies increasingly on AI-driven agents for tasks like trading, asset management, and interacting with on-chain protocols. However, these same capabilities expose new risk vectors—namely, prompt attacks, data poisoning, and AI-driven social engineering—that traditional security measures struggle to handle. DAMASCO provides a real-time screening mechanism for all interactions between AI agents, users, and smart contracts, ensuring that suspicious activities are flagged or blocked before they can cause any harm.
Reference (Industry Context)
OWASP Top 10 for Large Language Model Applications (2023) identifies malicious prompt manipulation and data leaks as high-priority vulnerabilities in AI-driven services.
OpenAI Security Best Practices (2023) underscores the importance of real-time monitoring to prevent AI misuse and unintended model outputs.
Prompt Injection Prevention: Detect and mitigate attempts to override intended AI behaviors through deceptive user prompts or reference materials.
Data Leakage Controls: Automatically screen inputs and outputs for Personally Identifiable Information (PII) and sensitive DeFi transaction details, preventing unauthorized disclosures that could compromise user privacy or DeFi strategies.
Harmful Content Moderation: Block offensive, hateful, violent, or otherwise harmful prompts and outputs, promoting a more resilient and inclusive financial ecosystem.
Smart Contract Integrity Checks: Monitor AI interactions with on-chain smart contracts in real time, reducing exploit risks like re-entrancy and overflow attacks.
By applying these layers of defense, Damasco ensures a hardened security stance aligned with Zero Trust principles (Gartner, 2022) and fosters safer collaboration among AI agents, traders, and the broader DeFi network.
Damasco continuously refines its security intelligence by ingesting data from:
Community-Driven Feedback through the The Damasco Challenge
DeFi-Specific Threat Feeds on known and zero-day smart contract exploits
Academic & Industry Research in LLM safety and financial cryptography
This ever-evolving threat intelligence positions Damasco as a robust, future-proof defense layer for AI-enabled DeFi platforms.
Damasco is designed to be model-agnostic and chain-agnostic, making it compatible with:
Hosted LLM providers (e.g., OpenAI, Anthropic, Cohere)
Self-hosted or custom AI models
Multiple blockchain protocols (Ethereum, BNB Chain, Polygon, etc.)
Damasco only serves enterprise customers.