AI Security and Compliance in Lifesciences
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.
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.
The OWASP Top Ten
The Open Web Application Security Project (OWASP) is a nonprofit organization focused on improving software security. The OWASP Top Ten represents a powerful awareness document for web application security. It represents a broad consensus about what the most critical web application security flaws are. Here’s a breakdown of the OWASP Top Ten and how it applies to the challenges faced in Lifesciences companies:
1. Injection: This refers to when untrusted data is sent to an interpreter as part of a command or query. In a Lifesciences company, this could mean unauthorized access to sensitive patient data or tampering with research findings.
2. Broken Authentication: Flaws in authentication mechanisms can lead to unauthorized access to sensitive systems and data. In the Lifesciences industry, this could compromise valuable intellectual property or patient privacy.
3. Sensitive Data Exposure: Inadequate protection of sensitive data can lead to severe consequences in Lifesciences, where patient data and research findings must be kept confidential and secure.
4. XML External Entities (XXE): This vulnerability can allow attackers to interfere with the processing of XML data, leading to information disclosure, denial of service, and server side request forgery.
5. Broken Access Control: Improperly enforced access controls can result in unauthorized access to sensitive information, posing a significant threat to Lifesciences companies’ data integrity and security.
6. Security Misconfiguration: Misconfigured security settings and mechanisms can open the door to various attacks, potentially compromising the integrity of research data and patient information.
7. Cross-Site Scripting (XSS): Attackers can inject malicious scripts into web pages viewed by other users, leading to various security risks, including information theft and tampering.
8. Insecure Deserialization: Deserialization is the process of converting a data stream into an object. Insecure deserialization can lead to remote code execution, potentially compromising critical systems in Lifesciences companies.
9. Using Components with Known Vulnerabilities: Failure to keep software and libraries updated can leave Lifesciences systems vulnerable to exploitation through known vulnerabilities.
10. Insufficient Logging and Monitoring: Without adequate logging and monitoring, Lifesciences companies may not be able to detect and respond to security incidents in a timely manner, leading to prolonged exposure to threats.
Schedule Demo
Ready to bridge the Trust Gap and improve the security and control of your AI systems? Schedule a demo with Trustwise now to see how our Harmony Ai solution can revolutionize the way Lifesciences companies manage and secure their AI projects.
