Ghostjacking attack uses poisoned logs to compromise AI agents

Ghostjacking Attack: Ghostjacking is a newly described AI security attack in which malicious instructions are hidden inside trusted logs or alerts so an agent reads them as legitimate tasks. In the reported demonstration, the technique was shown against enterprise AI agents that ingest operational data from monitoring tools, causing the agent to take harmful actions while appearing to resolve an incident. AI Agent Security: Security researchers are increasingly focusing on attacks that exploit the tools and data sources AI agents already trust rather than breaking into the model directly. Trusted Log Poisoning: A log or alert that looks routine can become an attack vector when an AI system is allowed to treat observed text as instructions. Enterprise Monitoring Risk: The technique is especially relevant to organizations that connect AI assistants to observability and incident-response platforms such as cloud monitoring and logging services.