As agentic AI continues to become a bigger part of the economy, many companies are focusing heavily on innovation while ignoring important requirements such as security and governance. As a result, tech giant IBM (IBM) is taking a different approach by prioritizing these critical areas with what it calls the industry’s first governance software solution for agentic AI. Indeed, Ritika Gunnar, General Manager of Data and AI at IBM, explained that while AI agents can improve productivity, they also bring new risks when not managed carefully.
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To address this, IBM launched several new features. These include better integrations with existing systems, tools for managing AI agents throughout their lifecycle, preloaded compliance templates, and new consulting services focused on cybersecurity. One major update is the improved connection between Guardium AI Security and watsonx.governance. This integration helps companies track AI activity across systems using features like AllTrue.ai, which can automatically detect how AI is being used. It also includes automated tools that respond to problems as they happen.
Other upgrades let developers track performance and errors over time, with features like agent audit trails and risk assessments coming soon. IBM is also offering Compliance Accelerators that include global regulations like the EU AI Act and U.S. Federal Reserve guidelines, along with expert consulting, in order to help businesses operate safely.
What Is the Target Price for IBM?
Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on nine Buys, five Holds, and two Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $279.20 per share implies 1.4% downside risk.
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