Prompt Injections & Model Jailbreaks #a10networks

Prompt Injections & Model Jailbreaks: Why Built-In LLM Safety Fails Custom Use Cases

Arjoyita Roy and Product Manager Luca Labardini from A10 Networks discuss the core vulnerabilities that plague standard Large Language Models (LLMs) and the immediate threat posed by prompt-injection attacks.

As businesses integrate generative AI into daily workflows, model design goals conflict sharply with typical corporate data security practices. Luca explains how the helpful, open-ended nature of these models makes them highly susceptible to manipulation. Without an isolation layer, attackers can use standard models to easily fool into triggering malicious tool calls or revealing proprietary enterprise information.

Key Themes Explored:

• The Vulnerability of Open Text Inputs: Why models are designed to fulfill commands unconditionally, creating entry points for prompt exploits.
• Prohibiting Jailbreaks: The role of custom guardrails in preventing users from bypassing native model restrictions.
• Bidirectional Content Filtration: Ensuring both incoming customer prompts are safe and outgoing model responses do not contain hallucinated garbage or sensitive leaked data.
• Establish a firm line of defense against active threats to your production-ready AI services by filtering risky requests before they reach your internal network components.

To learn more about the A10 AI Firewall or schedule a demo directly with the team, visit: https://bit.ly/3RShsKm

#aisecurity #cybersecurity #a10networks #aifirewall #enterprisetech #llmsecurity #infosec #dataleak