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Securiti Fortifies Generative AI with Next-Gen LLM Firewalls

By Greg Tavarez

Traditional firewalls struggle with GenAI because they regularly operate on network traffic alone. They lack the ability to grasp the context of user prompts, the data retrieved during generation processes, and the final responses produced by the AI system. They seem akin to security guards patrolling a dark alley – they can see movement, but lack the enlightened context to understand the situation.

Looking to bridge the gap is Securiti, the company behind the Data+AI Command Center, with its recently released novel security solution: the Securiti LLM Firewall. This firewall is designed to safeguard generative AI, or GenAI, systems and applications, along with the sensitive data and AI models they rely on.

Unlike conventional firewalls that focus on network traffic, Securiti's LLM Firewalls take a distributed approach. They are built to comprehend various languages, user prompts and multimedia content. This allows them to identify and mitigate potential security threats, such as adversarial attacks and the unintended exposure of sensitive data.

Securiti's LLM Firewalls are equipped with advanced natural language processing capabilities that allow them to analyze the nuances of human-AI interaction. This allows for:

  • Prompt monitoring: The firewall scrutinizes user prompts to identify potentially malicious attempts to manipulate the AI system's output.
  • Retrieval firewall: During Retrieval Augmented Generation processes (where the AI system gathers information to inform its response), the firewall monitors and controls the retrieved data. The purpose of this is to safeguard against the inclusion of unauthorized or sensitive content.
  • Response analysis: The firewall verifies that the AI's final response aligns with user expectations and adheres to pre-defined security protocols.
  • Dynamic content filtering: The system automatically detects, categorizes and redacts sensitive information on the fly. It also blocks harmful content and enforces compliance with established topic and tone guidelines.

With the features now known, let’s take a look at how originations benefit from the firewall.

The firewall helps mitigate vulnerabilities identified by the Open Web Application Security Project, a renowned cybersecurity organization. The system safeguards against techniques employed by malicious actors to manipulate AI models, such as data poisoning and model inversion. Additionally, the firewall facilitates adherence to emerging AI regulations, such as the EU AI Act and the NIST AI Risk Management Framework.

“Our mission is to enable organizations to unleash the power of their data safely with GenAI,” said Rehan Jalil, CEO of Securiti AI. “This new category of LLM firewalls for the GenAI apps are playing a critical role in providing the security for GenAI’s mainstream use cases in the enterprise.”

Securiti's LLM Firewall is an advancement in the field of AI security. By integrating contextual understanding with advanced filtering capabilities, it provides better defenses against a new generation of security threats posed by GenAI systems.

Edited by Alex Passett
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GenAIToday Editor

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