AI Risk Posture
View risk across AI applications, agents, models, prompts, tools, and data connections.
Find prompt injection risks, agentic workflow gaps, unsafe tool permissions, and data leakage exposure across your AI applications.

Token Threat Labs gives security teams a practical view of where AI systems are deployed, which workflows carry the most risk, and which operational gaps need attention first.
Platform capabilities
View risk across AI applications, agents, models, prompts, tools, and data connections.
Test for prompt injection, indirect prompt injection, prompt hijacking, and jailbreak-style behavior.
Review AI agent actions, tool access, permission boundaries, and risky execution paths.
Identify sensitive data exposure in prompts, completions, uploaded files, retrieval results, and logs.
Maintain a searchable inventory of AI systems, owners, models, vendors, and business use cases.
Find missing controls across review processes, monitoring, access policies, incident workflows, and deployment gates.
Start with high-risk prompts, excessive agent permissions, and data paths that touch sensitive retrieval sources or downstream systems.
Review common AI attack pathsCommon AI attack paths
Fictional demo evidence connects the risk to affected AI systems, owners, and remediation steps.
Fictional demo evidence connects the risk to affected AI systems, owners, and remediation steps.
Fictional demo evidence connects the risk to affected AI systems, owners, and remediation steps.
Fictional demo evidence connects the risk to affected AI systems, owners, and remediation steps.
"Token Threat Labs helped our fictional security team turn scattered AI reviews into one owner-ready action plan."
Request a tailored walkthrough using synthetic demo data and fictional assessment results.
Request an AI Security Demo