AI Security and Compliance in Pharmaceuticals
The pervasive use of artificial intelligence (AI) has brought about numerous benefits and opportunities. However, the rapid advancement of agentic AI systems has also introduced new complexities and risks, creating a critical barrier known as the Trust Gap. This gap represents a significant challenge for large organizations, particularly in industries with strict compliance requirements such as pharmaceuticals. As the Head of Compliance at a leading pharmaceutical company, it is essential to have adequate visibility and control over potentially malicious, drifted, or poisoned tools, especially in multi-cloud or partner-integrated environments. This is where Trustwise steps in, delivering an AI Security and Control Layer that includes AI Trust Management for Agentic AI Systems.
Minimizing the Trust Gap
Modern AI projects often struggle to scale due to unreliability, inefficiency, and lack of control. Trustwise’s 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, our approach helps large organizations realize AI Trust and Security at scale.
Embedding Real-Time Security and Control
At Trustwise, we embed real-time security, control, and alignment into every agent to ensure that innovation scales without compromising control. Our transformative approach turns naked agents into Shielded Agents, providing an added layer of security and trust.
Delivering Trust-as-Code
To address the diverse needs of our clients, we deliver trust-as-code through a range of tools including APIs, SDKs, MCPs, and Guardian Agents. This ensures that organizations have the flexibility to implement the level of security and control that best aligns with their unique requirements.
Schedule Demo
We understand the importance of seeing our solutions in action. Schedule a demo with Trustwise today to experience firsthand how our AI Security and Control Layer can help your pharmaceutical company achieve greater visibility and control over AI systems.
