AI Security and Compliance in Lifesciences
Trustwise delivers an AI Security and Control Layer, including AI Trust Management for Agentic AI Systems. Modern AI projects often struggle to scale not due to a lack of ambition, but because of unreliability, inefficiency, and a lack of control. This creates 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.
Types of Personally Identifiable Information (PII)
Personally Identifiable Information (PII) refers to any information that can be used to identify an individual. This includes, but is not limited to, the following types of PII:
– Name and Address: Standard information such as full name, home address, and email address.
– Social Security Number: A unique nine-digit number issued by the Social Security Administration for tax purposes.
– Financial Information: Bank account numbers, credit card numbers, and other financial details.
– Biometric Data: Unique physical attributes such as fingerprints, retina scans, and facial recognition data.
– Health Information: Medical records, diagnoses, and other health-related data.
– Online Identifiers: IP addresses, device IDs, and cookies that can be used to track online activities.
Recognizing the various types of PII is crucial for implementing effective security and control measures to protect sensitive information from unauthorized access or misuse.
Securing Personally Identifiable Information (PII) in AI Systems
As Chief Technical Officer at a large Lifesciences company, securing Personally Identifiable Information (PII) within AI systems is a top priority. Here are the key considerations for securing PII in AI systems:
– Encryption: Implementing strong encryption protocols to safeguard PII from unauthorized access or interception.
– Access Control: Enforcing strict access controls to limit the exposure of PII to authorized users only.
– Anonymization: Utilizing techniques to anonymize PII in datasets to prevent the identification of individuals.
– Data Residency: Ensuring that PII is stored and processed in compliance with regional data residency regulations.
– Compliance Monitoring: Implementing continuous monitoring and auditing to ensure compliance with data protection laws and regulations.
– Incident Response: Establishing clear protocols for responding to PII security incidents and data breaches.
By addressing these considerations, organizations can strengthen the security and control of PII within AI systems, mitigating the risk of unauthorized access and potential data breaches.
Schedule Demo
To experience firsthand how Trustwise’s Harmony Ai can revolutionize the security and control of PII within AI systems, schedule a demo today. Our team will guide you through the innovative capabilities of our AI Security and Control Layer, showcasing how we embed real-time security, control, and alignment into every agent to ensure that innovation scales without compromising control. Transform your naked agents into Shielded Agents and learn how Trustwise delivers trust-as-code through APIs, SDKs, MCPs, and Guardian Agents tailored to your specific needs.
Contact us now to schedule your demo and take the first step towards realizing AI Trust and Security at scale with Trustwise.
