The emergence of agentic AI has introduced unprecedented complexity and risk, widening the existing Trust Gap and posing significant challenges for large organizations seeking to realize AI Trust and Security at scale. Modern AI projects often encounter obstacles related to unreliability, inefficiency, and lack of control, hindering their ability to scale effectively. Trustwise addresses these challenges by delivering an AI Security and Control Layer, which includes AI Trust Management for Agentic AI Systems. Our cutting-edge solutions, known as Harmony Ai, are designed to minimize the Trust Gap throughout the entire AI lifecycle, from simulation and verification to optimization and governance. By embedding real-time security, control, and alignment into every agent, we ensure that innovation can scale without compromising control, transforming naked agents into Shielded Agents.
As the Head of Compliance at a large Asset Management company, it is crucial to have a comprehensive recognizing of how to effectively manage and secure AI systems. Here are key insights and strategies to enhance visibility and control over potentially malicious, drifted, or poisoned tools, especially in multi-cloud or partner-integrated environments:
– Understanding the Trust Gap: Gain insights into the critical barrier to achieving widespread AI adoption, and how the emergence of agentic AI further exacerbates this gap, creating heightened complexity and risk.
– Minimizing Trust Gap: Learn how Trustwise’s solutions, such as Harmony Ai, are tailored to minimize the Trust Gap throughout the entire AI lifecycle, ensuring security and trust at every stage of development and deployment.
– Real-time Security and Control: Explore how Trustwise embeds real-time security, control, and alignment into every agent, enabling innovation to scale without compromising control and ensuring the transformation of naked agents into Shielded Agents.
– Trust-as-Code Solutions: Discover how Trustwise delivers trust-as-code through APIs, SDKs, MCPs, and Guardian Agents, providing tailored solutions to meet the specific needs of large organizations, enabling them to integrate security and trust seamlessly into their AI systems.
Ready to experience the transformative power of Trustwise’s AI Security and Control Layer firsthand? Schedule a demo today and discover how we can help your organization realize AI Trust and Security at scale.
Trustwise provides AI Trust Management that enables enterprises to deploy safe, compliant and efficient AI at scale. The company’s platform serves as the AI Control Tower for agentic AI, providing real-time governance and control through Guardian Agents and modular AI Shields. Co-developed with leading financial and healthcare institutions, Trustwise helps Global 500 enterprises keep AI trustworthy and aligned at runtime in high-stakes environments. The company was named a Cool Vendor in the 2025 Gartner® Cool Vendors™ for Agentic AI in Banking and Investment Services report and received the InfoWorld 2024 Technology of the Year Award.
Learn more: www.trustwise.ai
Follow us: Trustwise LinkedIn
Request a demo: www.trustwise.ai/contactsales
Bhava Communications for Trustwise
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and COOL VENDORS is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation.
Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Field signal from the front lines of enterprise AI research,
perspectives, and product news from the team building runtime control.