Prompt Injection
Identify indicators that could allow instructions to override intended agent behavior.
Find prompt injection, system-prompt leakage, unsafe tools, data exposure and other AI agent security weaknesses before they become real-world vulnerabilities.
Provide the configuration your agent uses and we'll analyze it for common security weaknesses.
V1 is designed around practical security indicators that can be expanded into deeper adversarial testing and monitoring.
Identify indicators that could allow instructions to override intended agent behavior.
Check for weaknesses that could expose confidential system instructions.
Detect API keys, tokens, passwords and other sensitive credential patterns.
Analyze potentially dangerous capabilities and excessive agent privileges.
Identify indicators of PII and sensitive-data handling risks.
Look for document, retrieval and knowledge-source security weaknesses.
Assess whether the agent appears to have excessive ability to act without human review.
Check configuration indicators related to authentication, validation and rate limiting.
Analyze your agent configuration and identify security weaknesses using deterministic security checks.
V1 will expand into controlled adversarial testing that actively challenges your agent with security attack cases.
Monitor security posture over time, track score changes and detect new risks as your agent evolves.
Practical guidance for testing and reducing security risks in AI agents connected to tools, APIs and sensitive data.
Core risks, attack surfaces and defenses.
Prompt Injection TestingDirect and indirect injection testing.
Security ChecklistPre-launch controls for production agents.
Risk AssessmentPrioritize high-impact AI-agent risks.
Security MonitoringTrack changes and regressions over time.
Tool SecurityControl permissions and sensitive actions.