OVERVIEW

AI and Generative AI (GAI) are revolutionizing industries with innovative solutions and enhanced efficiencies. However, these technologies also introduce a range of risks that require careful management. Organizations must identify the technology risks associated with AI/GAI, particularly in areas of security, privacy, and explainability. By conducting detailed analyses of potential threats, establishing key evaluation metrics, and developing strategies to mitigate these risks, organizations can effectively leverage AI/GAI’s potential while safeguarding their operations and data. This proactive approach enables businesses to harness the benefits of AI/GAI technologies while maintaining robust protection against associated challenges.

Features

Explainability and Model Monitoring

Discussion on unexplainable outputs, unreliable source attribution, and inaccessible training data, supported by metrics like Degrees of Explanation (DoX) and Local and Global Explanation Fidelity (LGEF).

SecGenAI

A robust security framework for cloud-based GenAI applications using Retrieval-Augmented Generation (RAG) systems that covers use case analysis and platform infrastructure. The framework ensures secure deployment with comprehensive security analysis and high data privacy. The framework emphasizes shared responsibility models and aligns with organizational governance to protect these applications’ integrity.

MLSecOps and ModelOps

Integrate security protocols and continuous monitoring across machine learning operational workflows for enhanced model reliability and compliance.

AI Use Case Analysis and Review

Thoroughly assess and analyze the AI and GenAI use cases through a security and privacy lens before implementation, and mitigate the issues during implementation.

AI Application Security

Implement robust safeguards to protect AI systems from malicious attacks, data breaches, and unauthorized access.

Ethics and Privacy

Ensure AI solutions adhere to ethical standards and privacy regulations, promoting transparent and responsible data usage.

Benefits

Enhanced Security Posture

By understanding and mitigating security risks, organizations can protect their AI systems from unauthorized access and manipulation.

Improved Privacy Protection

Implementing robust privacy measures ensures that sensitive data is safeguarded against breaches and misuse.

Greater Transparency and Trust

Addressing explainability challenges helps build trust with stakeholders by providing clear and understandable AI decision-making processes

Regulatory Compliance

Adhering to best practices in security, privacy, and explainability aids in meeting regulatory requirements and avoiding potential legal issues.

Operational Efficiency

Leveraging GAI with a comprehensive risk management framework enhances operational efficiency while minimizing potential disruptions.

Increased Auditability

Enhancing auditability in AI governance bolsters system robustness, fosters trustworthiness, and promotes a culture of transparency, driving compliance with regulations and uncovering biases and ethical concerns.

Insights

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Partners and Alliances

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WHY DMI

DMI is an end-to-end Digital Transformation services provider covering digital transformation strategy, change management, ecommerce, web and app development, data science and data engineering. Most competitors specialize in just one, or a few of these disciplines, and lack the holistic vision required to ensure all aspects of your data management are coordinated.

With 125+ certified data analytics experts, we work with organizations to create a holistic road map and infrastructure to support insight and enable business users to extract, analyze, and consume data out of a single data platform. Leveraging DMI’s cloud data platform services allow you to shift your focus away from managing disparate infrastructure to gain actionable insights from all data across your enterprise. We enable organizations to scale fast, remove data silos, and add new features and enhancements that expedite speed to market and improve customer retention and satisfaction.