Stop
Data Exfil
Expose the AI pathways that leak sensitive information, then close them before an attacker finds them.
AI Creates New Exit Routes
Agents connect models to files, databases, APIs, memory, and internal workflows. That creates data paths traditional DLP cannot fully see. An attacker only needs one overlooked route to turn access into exposure.
Fewer Prompts, Less Noise, Low Cost
Mindgard maps the deployed AI system, then attacks it. Prompt injection, context manipulation, guardrail bypasses, and tool abuse reveal whether sensitive data can be extracted, redirected, or disclosed at scale.
Fix What Actually Breaks
Mindgard turns successful exploits into remediation priorities. Security teams see the path, the weakness, and the impact, then rerun the attack to prove the fix holds as the system changes.
Turn Exposure Into Action
Prioritize the data paths that create the greatest business risk and prove each remediation closes them.
- Prioritize the sensitive routes. Rank findings by the data exposed, the access required, and the business impact so teams address the paths that matter first.
- Reproduce every successful extraction. Give security and engineering teams a clear attack trail they can replay, investigate, and close without debating theoretical severity.
- Measure exposure reduction. Track which exfiltration routes disappear after remediation and identify any new paths introduced by changes to applications, agents, or connected tools.
Learn More
Mindgard has helped some of the world's leading businesses to secure their AI agents, systems and infrastructure against real-world attacks. Learn more about real-life use cases from real customers.
