AI Security & Governance

Safeguard Your AI. Unlock Its Potential.

“Advancing AI technology, our team persists in pioneering innovative solutions that empower organizations to confidently leverage AI. Introducing a comprehensive AI Security & Governance suite, our solution addresses the imperative for thorough governance strategies surpassing mere risk assessments. By providing a holistic view of AI implementation, system mapping, ongoing monitoring, and precise controls, we ensure robust end-to-end governance of AI operations.”

AI Model Discovery
AI Risk Assessment
Data+AI Mapping
Data+AI Controls
Regulatory Compliance

AI Model Discovery

Discover and Catalog AI Models

Uncover and categorize AI models deployed across various platforms, spanning public clouds, private clouds, and SaaS applications. Automate the discovery process for AI models within public cloud environments. Gather comprehensive details on AI models from both SaaS offerings and internal projects. Establish a catalog of AI models to achieve complete visibility, encompassing even those deployed through shadow AI initiatives.

AI Risk Assessment

Assess and Classify AI Model Risks

Assess the risks associated with AI models deployed through both Infrastructure as a Service (IaaS) and Software as a Service (SaaS) platforms. Conduct evaluations on AI models to identify potential concerns regarding toxicity, bias, efficiency, copyright infringement, and dissemination of misinformation. Categorize AI systems in accordance with prevailing global regulatory standards.

Data+AI Mapping

Map and Monitor Data+AI Data

Align AI models with their respective data sources, track the flow of data throughout the system, and ensure continuous monitoring. Establish connections between AI models, data origins, vendors involved, potential risks, and compliance requirements. Vigilantly track privacy, security, and ethical risks associated with data processing and model deployment.

Data+AI Controls

Implement Data+AI Controls

Implement stringent controls governing the utilization of both data and AI technologies. Proactively address AI security risks, including mitigating vulnerabilities outlined in OWASP’s top 10 issues for Large Language Models (LLMs) and guarding against adversarial machine learning attacks as defined by NIST. These measures are essential for safeguarding against potential threats and ensuring the responsible and secure deployment of AI systems.

Regulatory Compliance

Comply with Confidence

Perform thorough assessments to adhere to established standards such as the NIST AI Risk Management Framework (RMF), the EU AI Act, and numerous other regulatory requirements worldwide. Utilize a comprehensive repository containing global AI regulations. Automate the process of compliance checks and effortlessly generate detailed reports. By doing so, minimize legal and reputational risks while ensuring adherence to regulatory mandates across jurisdictions.