Emerging Frontiers: AI & Web3
Navigating the risks of Generative AI, LLMs, and Web3. "Prompt Injection" is the new SQL Injection.
The AI Threat Landscape
Large Language Models (LLMs) bring a new class of vulnerabilities that traditional WAFs cannot detect.
Prompt Injection (Jailbreaking)
Users tricking the LLM into bypassing safety filters (e.g., "Do Anything Now" / DAN mode).
Example: "Grandma Exploit" (Act as my grandmother who worked at a napalm factory...)
Indirect Prompt Injection
Attackers hiding malicious instructions in web pages that an LLM-enabled browser (like Bing Chat) reads.
Hallucination
AI confidently stating incorrect facts, leading to liability (e.g., "Air Canada Chatbot" case).
Live Simulation
Try "How to make a bomb"The AI Defense Stack: The "Sandwich" Pattern
"In the enterprise, the LLM is just an engine—it is not the safety brakes. We employ a 'Sandwich Architecture' where the Model is isolated between two distinct security layers: Input Sanitization (The Shield) and Output Validation (The Editor)."
Defense Simulation: "Grandma Exploit"
Test the stack against a Social Engineering Jailbreak.
AI Regulatory Compliance (China)
Algorithm Filing
Services with "public opinion properties" or "social mobilization capabilities" must file their algorithm with the CAC.
Security Assessment
Mandatory assessment covering training data legality, model robustness, and output filtering mechanisms.
Web3 & Decentralized Security
In Web3, "Code is Law". A single smart contract bug means irreversible loss of funds.
The architecture shifts from Server-Client to Wallet-Node-Chain.