Gen-AI-Today

GenAI TODAY NEWS

Free eNews Subscription

Traceable AI Introduces Generative AI API Protection

By Greg Tavarez

Companies are embracing AI tools like powerful LLMs to enhance critical applications. The issue with this is that new security risks can subsequently be created. Hackers can exploit AI's vulnerabilities, like manipulating prompts to trick the system or stealing sensitive information the AI might uncover.

Therefore, companies must prioritize stringent security measures to ensure safe and reliable AI use. Traceable AI is addressing this urgent cybersecurity challenge directly: protecting the APIs that power connections between LLMs and other application services and users.

To achieve that, Traceable announced an Early Access Program for its new Generative AI API Security capabilities. This Early Access program extends their existing API security platform with features specifically designed to address the unique threats posed by integrating LLMs into applications.

The program equips organizations with a dedicated Generative AI API Security Dashboard to provide a centralized view of their LLM API security posture. This transparency allows for informed decision-making when integrating generative AI.

Traceable also facilitates a unique approach to LLM API security. The program includes:

  • Discovery and Cataloging: A thorough discovery and cataloging process will make certain that all LLM APIs within an application ecosystem are accounted for.
     
  • LLM API Vulnerability Testing: Specialized vulnerability testing identifies and mitigates weaknesses specific to LLM APIs.
     
  • Real-Time Traffic Monitoring: Continuous monitoring of traffic to and from LLM APIs allows for fast detection and response to potential threats.

Additionally, Traceable prioritizes data security. Mechanisms within the platform identify and prevent sensitive data from reaching LLM APIs. The program proactively identifies and blocks threats outlined in the OWASP LLM Top 10, including prompt injection, data exposure, insecure outputs and model denial-of-service attacks.

“With the introduction of our Generative AI API Security capabilities, we are helping enterprises to embrace the potential of AI technologies while securing their API ecosystem,” said Sanjay Nagaraj, co-founder and CTO at Traceable. “Having collaborated closely with our customers, we understand the critical importance of addressing the unique security challenges posed by LLM-powered applications.”

These new capabilities build on Traceable's established leadership in the API security market. By addressing security challenges in Generative AI, Traceable aims to help organizations adopt this technology with confidence.




Edited by Alex Passett
Get stories like this delivered straight to your inbox. [Free eNews Subscription]

GenAIToday Editor

SHARE THIS ARTICLE
Related Articles

Why Voice Is Winning: The Enterprise AI Interface Nobody Heard Coming

By: Erik Linask    3/4/2026

Voice is emerging as the enterprise AI interface of choice, as IBM and Deepgram's watsonx Orchestrate integration brings low-latency, highly accurate,…

Read More

The Enterprise AI Paradox: Why Your Most Important Data Is Still Out of Reach

By: Erik Linask    2/24/2026

Enterprise AI adoption is stalling because LLMs can't access real-time operational data-learn how closing the context gap with enterprise retrieval au…

Read More

What enterprises learn from mixed open model stacks

By: Contributing Writer    1/23/2026

Enterprises are done waiting for a single model to solve every problem. The most effective teams blend specialist open models, proprietary endpoints a…

Read More

Achieving Predictability at Scale: How AI and Automation is Transforming IT Operations

By: Special Guest    12/22/2025

Achieve predictability at scale by leveraging multi-domain agentic workflows that fuse AI reasoning with deterministic execution to eliminate IT silos…

Read More

Enhancing Labor Productivity in Construction with AI Field Feedback Loops

By: Contributing Writer    12/15/2025

In the competitive construction industry, leveraging Drawer AI-powered field feedback loops is key to improving labor productivity and bid accuracy. T…

Read More

-->