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    Traceable AI Takes Early Step to Secure Companies' Gen AI Systems

    "Ensuring the security of applications powered by generative AI is crucial for today's organizations," said Sanjay Nagaraj, co-founder and CTO of Traceable AI

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    Traceable AI Takes Early Step to Secure Companies' Gen AI Systems

    As businesses rush to capitalize on artificial intelligence's potential, a leading security company has introduced new safeguards aimed at protecting the corporate systems underpinning the emerging technologies from hacking threats and data leaks.

    Traceable AI unveiled an early-access program for customers to begin using its new suite of tools for securing the application programming interfaces, or APIs, that connect powerful language models and image generators to other software and end users. The offering is a recognition that as generative AI capabilities are integrated into more products, services and internal business systems, they introduce novel vulnerabilities that existing cybersecurity measures may miss.

    https://twitter.com/traceableai/status/1787851409997565987

    As large language models (LLMs) and other generative AI technologies are rapidly being incorporated into mission-critical software, new attack vectors are emerging that could expose these systems to threats like prompt injection, insecure outputs, and sensitive data exposure. Traceable's new suite of AI security features aims to mitigate these unique risks by securing the APIs that connect LLMs to other services and end users.

    "Ensuring the security of applications powered by generative AI is crucial for today's organizations," said Sanjay Nagaraj, co-founder and CTO of Traceable AI. "With our new Generative AI API Security capabilities, we're empowering enterprises to embrace the immense potential of AI while securing their entire API ecosystem."

    Key features include a dedicated Generative AI API Security Dashboard for monitoring LLM security posture, tools for discovering and cataloging AI-driven APIs, rigorous vulnerability testing for LLM integrations, real-time traffic monitoring, and detection of sensitive data flows. The platform can identify and block the top threats outlined in the OWASP LLM Top 10, such as prompt injection attacks.

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    About the author

    Abhijeet Adhikari

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