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.
Adversarial Learning: Overcoming the Trust Gap in AI
Challenges in Achieving AI Trust
The field of AI is rapidly advancing, bringing both promise and challenges. As AI systems become more complex, the potential for malicious, drifted, or poisoned tools to infiltrate these systems increases. This creates a significant problem for executives seeking to maintain control and security across their AI initiatives.
Adversarial Learning
Adversarial learning is a subset of machine learning that focuses on knowing and defending against adversarial attacks. These attacks aim to deceive AI systems by injecting subtle, carefully crafted perturbations into the input data, leading to incorrect outputs or decisions.
Risks of Unchecked Adversarial Learning
Unchecked adversarial learning poses a significant risk to AI systems, potentially leading to compromised decision-making, security breaches, or system failures. This lack of control and visibility into the behavior of AI systems can have far-reaching consequences, particularly in sensitive industries such as pharmaceuticals.
Trustwise’s Approach to Adversarial Learning
At Trustwise, we recognize the critical need for comprehensive AI Trust and Security. Our approach to adversarial learning involves embedding real-time security, control, and alignment into every agent, ensuring that innovation scales without compromising control. By transforming naked agents into Shielded Agents, we provide a robust defense against adversarial attacks.
Key Features of Trustwise’s Adversarial Learning Solutions
– Real-time security and control: We deliver trust-as-code through APIs, SDKs, MCPs, and Guardian Agents, providing a range of options to suit your specific needs.
– Comprehensive defense: Our solutions safeguard AI systems from adversarial attacks, ensuring the integrity and reliability of decision-making processes.
– Proactive risk mitigation: By addressing adversarial learning at every stage of the AI lifecycle, we minimize the potential for security breaches and vulnerabilities.
Schedule Demo
Ready to experience the power of Trustwise’s AI Trust and Security solutions firsthand? Schedule a demo today to discover how our adversarial learning solutions can empower your organization to achieve greater control and security across your AI initiatives.
