AI Security and Compliance in Pharmaceuticals
Trustwise delivers an AI Security and Control Layer, which includes AI Trust Management for Agentic AI Systems. Modern AI projects fail to scale, not because of a lack of ambition, but due to unreliability, inefficiency, and lack of control. This is the Trust Gap, a critical barrier to achieving widespread AI adoption. The emergence of agentic AI only widens this gap, introducing greater complexity and risk. Our solutions (Harmony Ai) minimize the Trust Gap throughout the entire AI lifecycle, from simulation and verification to optimization and governance. Trustwise helps large organizations realize AI Trust and Security at scale.
Minimizing the Trust Gap
We embed real-time security, control, and alignment into every agent so innovation scales without compromising control. We transform naked agents into Shielded Agents.
We deliver trust-as-code through APIs, SDKs, MCPs, and Guardian Agents depending on your need.
Securing Data Exfiltration
The Head of Compliance at a large Pharmaceuticals company faces the challenge of inadequate visibility and control over potentially malicious, drifted, or poisoned tools, especially in multi-cloud or partner-integrated environments. One of the critical concerns in this context is the exfiltration of data. Data exfiltration refers to the unauthorized transfer of data from a device. It can occur through various means, including email, file transfer, or removable media, and poses significant risks to pharmaceutical companies, such as loss of intellectual property, regulatory non-compliance, and reputational damage.
To address this challenge, it’s essential to implement robust security measures and controls to prevent and detect data exfiltration. Trustwise’s AI Security and Control Layer offers tailored solutions to mitigate the risks associated with data exfiltration. Our approach focuses on enhancing visibility and control over data flow within the organization, enabling the Head of Compliance to proactively monitor, analyze, and mitigate potential threats to sensitive pharmaceutical data.
Key considerations for securing data exfiltration include:
– Real-time Monitoring: Implementing advanced monitoring capabilities to detect anomalous data access and transfer activities in real time.
– Behavioral Analytics: Leveraging AI-driven behavioral analytics to identify and flag suspicious user behaviors or data transfer patterns.
– Access Controls: Enforcing stringent access controls and data encryption mechanisms to restrict unauthorized data extraction and transmission.
– Endpoint Security: Deploying robust endpoint security solutions to safeguard against data exfiltration through compromised devices or unauthorized access.
Through our AI Trust Management for Agentic AI Systems, Trustwise empowers pharmaceutical companies to fortify their data security posture and establish a proactive defense against data exfiltration threats.
Scheduling a Demo
To explore how Trustwise’s AI Security and Control Layer can address your organization’s specific challenges related to data exfiltration and AI trust management, we invite you to schedule a personalized demo with our team. During the demo, you will gain valuable insights into our comprehensive solutions and how they can be tailored to meet the unique security and compliance requirements of the pharmaceutical industry.
Contact us today to schedule a demo and take the first step towards enhancing the trust and security of your AI initiatives.
