Secure your AI and enable adversarial robustness against targeted attacks on your AI assets by leveraging AIShield’s patented one-stop AI security solution.
Widespread AI adoption has profoundly exposed machine learning models and associated data to newer vulnerabilities such as model theft/extraction, data poisoning, algorithm evasion & model/data inference attacks. Such cyber-attacks on AI assets are called adversarial attacks and can result in financial loss, reputational damage, loss of competitive advantage, or intellectual property theft.
To protect AI-powered devices and applications in the face of novel security threats, AIShield offers an Enterprise AI-security solution customized for your AI application in your industry. Leveraging deep domain expertise and strategic partnerships, AIShield's Enterprise AI Security solutions are deployed in AI and ML use cases in automotive, healthcare, manufacturing, BFSI, telecommunications, and IT industries.
AIShield's solutions are optimized to work on Microsoft Azure which seamlessly integrates into existing workflows built using Azure Machine Learning and provides telemetry data which integrates into Microsoft Sentinel, which allows monitoring for AI assets.
Consulting & Advisory:
AI/ML Model Security:
Trustworthy AI/ML Services (on demand):
AIShield specializes in Microsoft Azure-based AI workload security assessment utilizing Azure Applied AI Services, Azure Cognitive Services, Azure Machine Learning, Azure Cognitive Search, Azure Bot Service, Azure Databricks, Kinect DK & Azure OpenAI Service. Connections to existing SIEM such as Microsoft Sentinel are also available.