Ensure AI systems are secure and function as intended in live environments.
Protect your AI models with continuous monitoring and advanced security testing. Mindgard’s Run-Time Artifact Scanning identifies vulnerabilities, analyzes risks, and integrates seamlessly into your workflows to keep your AI investments secure and compliant.
Connect Mindgard to your models for run-time artifact scanning. The process supports a variety of frameworks and deployment environments.
Comprehensive tests on your AI model include adversarial attacks and configuration checks, to identify weaknesses in real-time. Schedule and run with just one click.
Get a detailed view of scenarios and threats to your AI. Aggregate and analyze findings, mapping risks to OWASP and MITRE ATLAS for actionable insights.
Integrate results into your existing systems for streamlined monitoring and incident response. Gain immediate visibility into your AI security posture.
Leverage Mindgard’s recommendations to remediate vulnerabilities and strengthen defenses, ensuring your AI system stays resilient and compliant.
Offline profiling leverages analytics and our AI threat intelligence repository to identify vulnerabilities and attack patterns that can be addressed before deployment. Run-time testing builds on this foundation by evaluating ML model artifacts in a secure staging environment, detecting dynamic risks such as prompt injection that static analysis cannot uncover.
Together, these processes ensure that both known and emerging threats are addressed, providing robust protection for your AI investments. Continuous monitoring ties everything together, enabling proactive threat detection and ongoing security assurance.
Find and remediate AI vulnerabilities only detectable at run time. Integrate into existing CI/CD automation and all SDLC stages.
Secure the AI systems you build, buy and use.
Extensive model coverage beyond LLMS, including image, audio and multi-modal.
Empower your team to Identify AI risks that static code or manual testing cannot detect. Reduce testing times from months to minutes.
Comprehensive AI Security Coverage: Gain actionable visibility with the most accurate AI security insights, empowering teams to swiftly address emerging threats. Scale red team capabilities by extending standardized visibility and controls across your organization, ensuring robust and secure AI deployment.
Offline risk profiling and run-time artifact testing are two complementary pillars of Mindgard’s run-time artifact scanning process, working together to provide a holistic approach to AI security.
Whether you're just getting started with AI Security Testing or looking to deepen your expertise, our engaging content is here to support you every step of the way.
Take the first step towards securing your AI. Book a demo now and we'll reach out to you.
