Arslan Ahmed Qureshi’s Post

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Linux Security researcher | Vuln. Research and Exploit Dev

Prompt injection is a simple yet powerful injection technique that can allow attacker to overtake your LLM-based Application

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Protecting Your Generative AI from Prompt Injection Attacks 🛡️ Prompt injection vulnerabilities, whether direct or indirect, pose significant risks to AI systems: Direct Prompt Injection: Attackers manipulate internal system prompts, influencing the model's behaviour. Indirect Prompt Injection: External inputs, such as user data or API calls, alter the model’s response. 💥 Common Attack Scenarios: 1. Circumventing security filters to gain unauthorized access or manipulate outputs. 2. Using AI-generated content for malicious purposes like social engineering or data leakage. 🔐 Effective Prevention: 1. Access Control: Restrict LLM access to trusted users and sources. 2. Data Validation: Sanitize all inputs to block malicious data. 3. Human Oversight: Implement human monitoring for critical operations. At Excaliat, we keep these risks in mind throughout the development process. We integrate robust security measures, ensuring our AI systems are resilient to prompt injection attacks and protect your data and business integrity. Security is embedded in every solution we deliver! #AI #Cybersecurity #GenerativeAI #PromptInjection #DataProtection #SecurityFirst #Excaliat #AIdevelopment #TechSecurity #MachineLearning #Innovation #SecureAI

  • Prompt injection

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