Owasp Top Ten in Banking | Compliance

AI Security and Compliance in Banking

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.

OWASP Top Ten Vulnerabilities

The Open Web Application Security Project (OWASP) is a non-profit 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 are some key vulnerabilities from the OWASP Top Ten:

1. Injection: Injection flaws, such as SQL, NoSQL, OS, and LDAP injection, occur when untrusted data is sent to an interpreter as part of a command or query. The attacker’s hostile data can trick the interpreter into executing unintended commands or accessing data without proper authorization.

2. Broken Authentication: This vulnerability encompasses improper implementation of authentication and session management, allowing attackers to compromise passwords, keys, or session tokens. This can lead to unauthorized access to sensitive data or functionality.

3. Sensitive Data Exposure: This includes the exposure of sensitive data, such as credit card numbers, health records, or personal information, due to weak encryption or improper handling of data.

4. XML External Entities (XXE): XXE vulnerabilities occur when an XML parser processes XML data containing a reference to an external entity, leading to the disclosure of confidential data, denial of service, server-side request forgery, or other security vulnerabilities.

5. Broken Access Control: This vulnerability allows users to access privileged functionality or data without proper authorization. It can lead to unauthorized access to sensitive data or functionality.

6. Security Misconfiguration: Security misconfiguration can occur at any level of an application stack, leading to unintended information disclosure, data tampering, or unauthorized access.

7. Cross-Site Scripting (XSS): XSS flaws occur when an application includes untrusted data in a new web page without proper validation or escaping, enabling attackers to execute scripts in the victim’s browser that can hijack user sessions, deface web sites, or redirect the user to malicious sites.

8. Insecure Deserialization: Insecure deserialization allows attackers to execute arbitrary code, tamper with serialized data, and even escalate privileges.

9. Using Components with Known Vulnerabilities: Applications frequently incorporate third-party libraries and frameworks with known vulnerabilities, which attackers can exploit to compromise the entire system.

10. Insufficient Logging & Monitoring: Inadequate logging and monitoring can lead to delayed detection, response, or an inability to detect certain attacks or security incidents.

Mitigating OWASP Top Ten Vulnerabilities with Trustwise’s Solutions

Trustwise’s AI Security and Control Layer provides comprehensive solutions to mitigate the OWASP Top Ten vulnerabilities:

– Injection: Harmony Ai’s real-time security and control mechanisms prevent injection attacks by verifying and sanitizing inputs, ensuring that only trusted data is processed.

– Broken Authentication: Trustwise embeds strong authentication and session management controls into every agent, preventing unauthorized access and compromise of sensitive credentials.

– Sensitive Data Exposure: Our trust-as-code approach ensures that sensitive data is encrypted and handled securely throughout the AI lifecycle, protecting against data exposure.

– XML External Entities (XXE): Harmony Ai guards against XXE vulnerabilities by validating and blocking external entities, preventing the disclosure of confidential data and server-side request forgery.

– Broken Access Control: Trustwise enforces robust access control measures to prevent unauthorized access to sensitive data or functionality, ensuring proper authorization for all interactions.

– Security Misconfiguration: Our solutions eliminate security misconfigurations by embedding secure defaults and automated configuration management, preventing unintended information disclosure or unauthorized access.

– Cross-Site Scripting (XSS): Harmony Ai’s real-time security and control layer includes robust input validation and output encoding, mitigating XSS attacks by preventing untrusted data from executing scripts in users’ browsers.

– Insecure Deserialization: Trustwise safeguards against insecure deserialization by implementing secure serialization and deserialization practices, preventing attackers from executing arbitrary code or tampering with serialized data.

– Using Components with Known Vulnerabilities: Trustwise continuously monitors and updates the components used in AI systems, ensuring that known vulnerabilities are patched and mitigated to prevent exploitation.

– Insufficient Logging & Monitoring: Our solutions embed comprehensive logging and monitoring capabilities, enabling organizations to detect and respond to security incidents in real-time, enhancing overall security posture.

Schedule Demo

To experience the transformative capabilities of Trustwise’s AI Security and Control Layer firsthand, schedule a demo with our experts today. Gain a comprehensive realizing of how our solutions can empower your organization to achieve AI Trust and Security at scale.