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🤖 Be careful if you are starting to develop apps with LLMs Continuing my previous discussion about how to build a text-to-SQL app designed for data analytics, a significant security risk we have in this setup is that an attacker could manipulate the input prompt to produce harmful SQL queries, such as DELETE or UPDATE statements, which could lead to data loss or corruption. To safeguard against these risks, possible solutions include: - Query Validation Step - Prompt Injection Detection Tools - Restricted Permissions - Regular Audits and Monitoring I wrote a 101 to Prompt Injections in case someone is curious about them and also diving a little into things we can do to prevent them. https://bit.ly/3Q7JNca In Autonoma AI, we are helping to improve code quality to contain these vulnerabilities and much more. #AI #softwaredevelopment #startups
Aspiring Security Engineer | Responsible AI | Web Security Testing | Malware Analysis | OSINT | Data Privacy | Former Software Engineering Intern | MS in Cybersecurity
3moUnfortunately, companies employing LLMs are in a terrible rush to be the first, so many of these weaknesses will persist for extended periods without seeing a fix.