AI vs. AI: Using Security LLMs to Audit Your Own Portfolio

Understanding the Current Landscape of DeFi Security

In the ever-evolving DeFi landscape, it’s crucial for investors to utilize advanced tools for security audits. With the rise of AI-driven models, using Security LLMs (Large Language Models) has become increasingly vital to assess your portfolio’s integrity. Understanding the intricacies of these technologies can lead to greatly improved security measures.

How AI vs. AI Works in Portfolio Auditing

The crux of using Security LLMs lies in their ability to autonomously audit smart contracts. These models compare the nuances between secure and vulnerable contracts. By feeding LLMs with NFT, token, and DeFi protocol codes, users can identify weaknesses that human auditors might overlook.

Step-by-Step Guide to Conducting an Audit

1. Verify Contract Ownership

   Use Etherscan to check the owner of the contract. Navigate to the contract page, where you’ll find the ‘Contract Creator’ details.

   

2. Check for Unrestricted Access

   Look for transferOwnership functions in the code. Utilize DEXTools to analyze liquidity and whether it can be removed without consensus among holders.

3. Examine High-Risk Functions

   Focus on functions like mint or burn, which can present security risks if not properly guarded. Check parameters carefully using Solscan.

Common Mistakes and Red Flags to Avoid

Even the most seasoned investors make critical errors by not vetting the contracts they interact with. Key mistakes include ignoring the risks associated with ‘trusted’ tokens or protocols and failing to validate the level of decentralization, which could lead to unforeseen rug-pulls.

Why Locking Liquidity Isn’t Always Safe

It’s important to note that just because liquidity is locked, it doesn’t guarantee safety from attackers. A major pitfall occurs when buyers assume that locked tokens signal a secure investment, which is often misleading.

Creating a Robust Security Protocol

Consider developing a routine security check-up for each asset in your portfolio using LLMs. Automating this process will save time and enhance accuracy.

Final Thoughts and Recommendations

As advancements in blockchain technology continue, staying updated and educated about new security features and threats is paramount. Regular audits with AI tools not only safeguard assets but also empower investors with knowledge, ultimately promoting safer investment practices.

防割口诀：查看合约，验证权限，风控不懈，安心投资。