As Generative AI continues to evolve , it becomes essential to implement robust governance and observability measures to ensure responsible and ethical use of this technology. Scanning your LLM with Tumeryk AttackGuard ensure you understand those risks.
Whether you are building your own application leveraging LLM or a secure chatbot, AI Firewall is required to mitigate potential risks associated with Generative AI systems while maximizing their benefits and Tumeryk AI Firewall is a premium solution that enables security and compliance by enforcing policy while providing observability and alerting.
Generative AI, often powered by deep learning models like GPT-3.5, has demonstrated impressive capabilities in generating human-like text, images, and even audio. However these models are suscepticle to adversarial attacks as well risks like:
Tumeryk AI Firewall act as a set of protective mechanisms to guide and control the behavior of Generative AI systems. Guardrails can continuously learn from user feedback and adapt to new challenges, making the AI system more robust and responsive to evolving concerns.
Tumeryk Ai Firewall allows enterprises to deploy a private instance of the model without the risk of AI allowing projects to go live quicker. Policies can be tailored to meet security and compliance guidelines.
Ai Firewall can enforce restrictions on the use of LLMs specific only to authorized business use cases preventing the personal use for disallowed topics or activities saving valuable company resources and reducing liabilities.
The AI Firewall can be designed to identify and filter out sensitive information from the generated content, safeguarding user privacy and complying with data protection regulations.
LLMs systems can be hijacked by certain techniques that render the built in protection inadequate. Tumeryk adds additional provisions to stop hijacking with a multi layered approach
AI-generated content can sometimes be inaccurate, misleading, or low-quality. Guardrails can assess the quality of the generated content and prevent the dissemination of unreliable information.