AI Security Begins with Discovery

Introducing AppSOC’s AI Discovery Module

AI Security Begins with Discovery

* Watch the Video Blog *

As artificial intelligence (AI) becomes integral across industries, organizations must manage the security, privacy, and regulatory risks associated with its rapid adoption. AppSOC’s AI Discovery module—the first component of its AI Security and Governance platform—addresses these challenges by providing essential visibility into AI projects, models, datasets, and notebooks. With a focus on transparency and governance, AI Discovery empowers organizations to innovate safely while mitigating AI-related risks. Let’s explore the security challenges in AI and the key benefits of AppSOC’s solution.

Emerging AI Security Challenges

As AI adoption accelerates, organizations face unique challenges:

  1. Lack of Visibility: AI projects built on MLOps platforms like Databricks, Azure, AWS, Google or others involve a multitude of resources—datasets, models, and notebooks—that require centralized oversight. With millions of open-source models available from resources like Hugging Face it’s easy for AI experiments to lead to downloads of risky assets.
  1. Development Outside Security Channels: AI projects often involve new, specialized skills that are not always found in code development teams. Data scientists and line-of-business owners often aggressively drive AI projects without the oversight and security controls established for conventional code development. This can lead to serious security and compliance risks.
  1. Compliance and Privacy Risks: Rapidly evolving AI and data privacy regulations globally require companies to govern their AI resources carefully. Failure to comply can lead to legal issues, financial penalties, and reputational damage.
  1. Connected Applications: New AI capabilities inevitably connect to enterprise applications or SaaS platforms like Salesforce, housing sensitive data. It’s easy to connect AI to data sources via APIs without establishing rigorous security controls.

These challenges demonstrate the need for a unified approach to secure and govern AI environments. AppSOC’s AI Discovery module provides visibility and control, enabling organizations to tackle these risks effectively.

The AppSOC AI Discovery Solution

AI Discovery offers a centralized approach to AI governance by integrating with major AI platforms including Databricks, Azure, AWS Bedrock, and AWS SageMaker to inventory, track, and manage AI resources. Here’s an overview of its main components and benefits:

AppSOC's AI Discovery dashboard

Visibility into AI Resources

AI Discovery enables organizations to discover and catalog AI resources across popular platforms such as Databricks, Azure, AWS, OpenAI, and GitHub. This feature provides:

  • A centralized view of all AI assets, making it easier to monitor and manage resources across the organization.
  • Enhanced oversight to ensure compliance with both internal governance policies and external regulations.
  • The ability to detect unauthorized or redundant resources, reducing security risks.

This level of visibility is essential for organizations looking to expand their AI operations confidently and securely.

Comprehensive Tracking and Inventory Management

The solution allows organizations to inventory and continuously track various AI tools, including models, datasets, notebooks, clusters, endpoints, and API connectors. By maintaining a centralized record, organizations benefit from:

  • A clear view of each AI asset’s status, usage, and compliance level.
  • Confidence that all assets are managed consistently, following security and governance standards.
  • Detection of unauthorized changes, reinforcing security and mitigating potential risks.

A well-organized inventory helps reduce administrative burdens and allows organizations to maintain control as their AI environment scales.

Model Lineage and Supply Chain Management

AI models frequently incorporate elements from open-source repositories, creating risks related to licensing, security, and compliance. AI Discovery includes a knowledge base of open-source models, allowing organizations to:

  • Assess risk with model risk ratings to determine potential vulnerabilities.
  • Track model sources, licenses, and lineage, ensuring compliance and a full understanding of each model’s origin and usage.
  • Manage AI supply chains to reduce exposure to unauthorized or high-risk models.

Model lineage tracking is crucial for governance, enabling organizations to confidently use vetted models and datasets in production environments.

Automated Compliance and Approval Workflows

To ensure that AI assets meet governance standards, AI Discovery provides automated, multi-level approval workflows. These workflows allow organizations to review and approve AI resources efficiently, providing:

  • A streamlined compliance process that reduces manual effort and minimizes errors.
  • At-a-glance information on asset provenance, risk ratings, and application connections, making it easier for managers to make informed decisions.
  • Consolidated views of security findings and compliance statuses, simplifying audit preparation and enhancing transparency.

Automated workflows enable thorough governance checks without slowing down the pace of AI innovation.

Key Benefits of AppSOC’s AI Discovery Module

By adopting AppSOC’s AI Discovery module, organizations gain a robust framework for managing AI security and governance. Key benefits include:

  • Enhanced Security: Comprehensive visibility and tracking allow organizations to detect risks early, minimizing potential incidents.
  • Regulatory Compliance: Automated workflows and lineage tracking simplify compliance with privacy laws and industry standards, protecting against penalties and reputational harm.
  • Support for Innovation: Rather than hindering AI projects, AI Discovery provides a governance framework that enables secure innovation, allowing teams to deploy AI confidently.
  • Operational Efficiency: Centralized management and automated workflows reduce administrative workloads, allowing teams to focus on AI’s core opportunities.
  • Trustworthy AI Deployments: Transparency and oversight help organizations build trust in their AI projects, promoting ethical and responsible AI use.

Conclusion

AppSOC’s AI Discovery module provides organizations with the visibility, control, and governance needed to address the complex security, compliance, and management challenges of modern AI deployments. By centralizing AI asset management, tracking lineage, and automating compliance, AI Discovery enables organizations to confidently expand their AI capabilities with a strong governance foundation. 

With AppSOC’s AI Discovery, organizations are well-equipped to navigate AI’s evolving landscape, maintaining both security and compliance while fostering innovation. As companies continue to explore AI’s potential, solutions like AI Discovery will be essential to ensuring a safe, responsible, and effective path to AI adoption.