By combining indirect prompt injection with client-side bypasses, attackers can force Grafana to leak sensitive data through routine image requests.
By hiding malicious instructions on an attacker-controlled Web page, AI could ingest orders as benign and return sensitive ...
Your LLM-based systems are at risk of being attacked to access business data, gain personal advantage, or exploit tools to the same ends. Everything you put in the system prompt is public data.
Indirect prompt injection represents a more insidious threat: malicious instructions embedded in content the LLM retrieves ...
Hosted.com examines the growing risk of prompt injection attacks to businesses using AI tools, including their potential impact, and ways to reduce exposure. Businesses rely on AI more than ever. When ...
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