Securiti AI Launches Context-Aware LLM Firewalls to Secure GenAI Applications

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Securiti LLM Firewall

Secure your GenAI applications with distributed and context-aware LLM firewalls

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Provide unparalleled protection against sensitive data leakage, prompt injections, and harmful content

Securiti takes a distributed approach to AI security that includes a new category of context-aware LLM Firewalls for Prompts and Responses, as well as a Retrieval Firewall for data retrieved during Retrieval Augmented Generation (RAG). This provides unparalleled protection against the OWASP Top 10 and NIST-identified adversarial machine learning (AML) threats such as sensitive data leakage, prompt injections, harmful content, and more.

LLM Firewall for Prompt

Monitor user prompts to preemptively identify and mitigate potential malicious use.

Redact sensitive data from prompts to prevent LLM access to protected information

Block attempts to maliciously override LLM behavior

Address anomalies in access patterns, knowledge scraping, toxicity, and prohibited topic engagement

LLM Firewall for Prompt

Retrieval Firewall for Retrieved Data

Monitor and control the data retrieved during Retrieval Augmented Generation (RAG) processes.

Redact sensitive data during retrieval

Ensure retrieved data is relevant and meets topic criteria

Check retrieved data for data poisoning or indirect prompt injections

Retrieval Firewall for Retrieved Data

LLM Firewall for Response

Ensure LLM responses align with user expectations and maintain a high standard of security.

Redact sensitive information to prevent unintended data exposure.

Block responses containing toxic content

Filter irrelevant and prohibited topic responses

LLM Firewall for Response

Dynamic Content Filtering

Automatically detect, classify, and redact sensitive information in-flight, block toxic content, and enforce compliance with topic and tone guidelines.

Use Large and Small Language Models to extract signals from ambiguous natural language content

Apply Machine Learning for rapid content classification

Employ Pattern Matching to identify specific threats in content

Dynamic Content Filtering

Out-of-the-box and Customizable Policies

Tailor your AI security to the specific needs of your organization with our comprehensive policy framework and extensive library of attack examples, covering sensitive data, phishing, toxicity, and more.

Out-of-the-box and Customizable Policies

Comprehensive Dashboard

Gain visibility into your AI interactions with detailed alerts, usage insights, and policy violation tracking.

Comprehensive Dashboard
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