- Solutions that operate in isolation, unable to communicate or share information with each other, and, therefore, cannot contribute to a holistic view of the organization's security posture. This fragmentation hinders the ability to correlate and analyze security events and alerts, leading to delays in incident response, increased complexity in managing security incidents, and potentially missed threats.
- Lack of integration and visibility, which makes it difficult to monitor and control data flows, resulting in blind spots where sensitive data may leak or be accessed without proper authorization.
- Redundancy, which leads to conflicting or inconsistent security measures, wasted resources, increased complexity, and challenges to maintaining and updating security systems.
- Content moderation and filtering systems for prompt inputs and model responses to identify and block those containing malicious or otherwise inappropriate content
- Ethical guidelines that align user behavior when engaging with the model to the organization's values and standards
- Fact-checking capabilities to verify information and flag inaccuracies or misinformation before it’s incorporated into company content
- A comprehensive set of policies and procedures governing the ethical and responsible use of LLMs to ensure transparency, accountability, and adherence to company, industry, or regulatory requirements
- Capabilities to track and audit engagement in terms of both users and content to identify vulnerabilities, assess risks, and implement appropriate safeguards.
