Prompt Injection

Prompt Injection is a cybersecurity threat where attackers manipulate a large language model (LLM) through carefully crafted inputs.

Definition

Prompt Injection is a cybersecurity threat where attackers manipulate a large language model (LLM) through carefully crafted inputs. This manipulation, often referred to as "jailbreaking" tricks the LLM into executing the attacker's intentions. This threat becomes particularly concerning when the LLM is integrated with other tools such as internal databases, APIs, or code interpreters, creating a new attack surface.

Key Concerns:

  1. Unauthorized data exfiltration: Extracting sensitive data without permission.
  2. Remote code execution: Running malicious code through the LLM.
  3. DDoS (Distributed Denial of Service): Overloading the system to disrupt services.
  4. Social engineering: Manipulating the LLM to behave differently than its intended use.

Learn more about Prompt Injection: https://www.prompt.security/blog/prompt-injection-101

How Prompt Security Helps

To combat this, Prompt Security employs a sophisticated AI-powered engine that detects and blocks adversarial prompt injection attempts in real-time while ensuring minimal latency overhead, with a response time below 200 milliseconds. In the event of an attempted attack, besides blocking, the platform immediately sends an alert and full logging to the platform admin, providing robust protection against this emerging cybersecurity threat.

If you want to test the resilience of your GenAI apps against a variety of risks and vulnerabilities, including Prompt Injection, try out the Prompt Fuzzer. It's available to everyone on GitHub.

Time to see for yourself

Learn why companies rely on Prompt Security to protect both their own GenAI applications as well as their employees' Shadow AI usage.

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