AI is creating a lot of opportunities for organizations, but security and governance is often taking a backseat. A lot of organizations don’t know how to Secure their AI or don't have the right tools. According to a 2024 survey of C-suite executives from the IBM Institute for Business Value, 82% of respondents say secure and trustworthy AI is essential to the success of their business, yet only 24% of current generative AI projects are being secured. Organizations need to trust the AI that they have in their organization to take it into production. And there are new things that are being added to the mix - like AI agents, MCP, and more, that are adding further to the complexity and challenge for Security teams.
Guardium AI Security can help
IBM Guardium AI Security was launched end of 2024, and we have been getting lot of good feedback from customers and understanding their problems in lot more detail. Thus, Guardium AI Security is bringing in new capabilities in the product, in partnership with AllTrue.ai, that allows organizations to proactively secure their AI while understanding the risk associated with AI deployments and how to manage them. IBM Guardium® AI Security allows you to discover shadow AI, secure all AI models and use cases, get real-time protection from malicious prompts, and align teams on common set of metrics—for secure and trustworthy AI.
Key Features of Guardium AI Security
Automated and continuous monitoring for AI assets
Guardium AI Security allows you to get full visibility into AI use cases to discover generative AI, shadow AI and agentic AI. Enable automated and continuous monitoring for AI models in your cloud, code repositories and embedded AI.
Detect security vulnerabilities and misconfigurations
Vulnerabilities and misconfigurations can break your AI and exposed. With Guardium AI Security, you can manage your AI security posture and run automated pentests to identify high-risk vulnerabilities to remediate. Map the results to common security assessment frameworks such as OWASP Top 10 for LLM, NIST AI RMF, and MITRE.
Define prompt security policies
Use the AI gateway in Guardium AI Security in a proxy mode or use SDK to scan and protect the different prompts coming into your applications or out of your LLM models to better secure your AI applications.
Secure and govern AI on a unified console
Guardium AI Security and watsonx.governance allows you to look at the same AI inventory, have both security risks and compliance considerations on a single dashboard, plus shadow AI insights—for safe and trustworthy AI.
Bringing teams together for Trustworthy AI
In most organizations there are siloed teams working on risk, security and governance initiatives related to AI. Gartner® shares their perspective on bringing them together in Market Guide for AI Trust, Risk and Security Management. The TRiSM framework allows organizations to bring teams together for Secure AI.
An out-of-the-box integration with IBM watsonx.governance provides a true risk and governance solution for disparate teams to look at a single set of metrics for business and security risks. When shadow AI is detected by Guardium AI Security, it is brought into watsonx.governance, aligned with the appropriate use case, and the appropriate risk and compliance controls are applied.
Now your Governance and Security teams look at the same AI inventory and AI risk for Trustworthy AI.
Experience the industry’s first software that brings AI security and AI governance teams together to provide a unified view of enterprises’ risk posture.
Join the webinar with IBM experts where we explore this in detail.