Best AI Security Software for Azure OpenAI Service

Compare the Top AI Security Software that integrates with Azure OpenAI Service as of July 2025

This a list of AI Security software that integrates with Azure OpenAI Service. Use the filters on the left to add additional filters for products that have integrations with Azure OpenAI Service. View the products that work with Azure OpenAI Service in the table below.

What is AI Security Software for Azure OpenAI Service?

AI security software is a technology that uses artificial intelligence (AI) to protect online systems from malicious attacks. AI security software can also ensure that companies are using AI software and generative AI tools safely. It can detect potential threats and blocks them before they cause damage. AI security software provides additional protection beyond traditional methods such as firewalls, antivirus, and intrusion detection systems. AI security software can be used to protect not only corporate networks but also individual computers from cyberattacks. The AI algorithms use machine learning techniques to learn about the changing patterns of malicious behavior in order to identify new threats more quickly and accurately. It also has the ability to adapt its responses over time, making it a powerful tool for combating ever-evolving cyber threats. Many companies now deploy AI security software as part of their comprehensive cybersecurity strategy. Compare and read user reviews of the best AI Security software for Azure OpenAI Service currently available using the table below. This list is updated regularly.

  • 1
    WebOrion Protector Plus
    WebOrion Protector Plus is a GPU-powered GenAI firewall engineered to provide mission-critical protection for generative AI applications. It offers real-time defenses against evolving threats such as prompt injection attacks, sensitive data leakage, and content hallucinations. Key features include prompt injection attack protection, safeguarding intellectual property and personally identifiable information (PII) from exposure, content moderation and validation to ensure accurate and on-topic LLM responses, and user input rate limiting to mitigate risks of security vulnerability exploitation and unbounded consumption. At the core of its capabilities is ShieldPrompt, a multi-layered defense system that utilizes context evaluation through LLM analysis of user prompts, canary checks by embedding fake prompts to detect potential data leaks, pand revention of jailbreaks using Byte Pair Encoding (BPE) tokenization with adaptive dropout.
  • 2
    Galileo

    Galileo

    Galileo

    Models can be opaque in understanding what data they didn’t perform well on and why. Galileo provides a host of tools for ML teams to inspect and find ML data errors 10x faster. Galileo sifts through your unlabeled data to automatically identify error patterns and data gaps in your model. We get it - ML experimentation is messy. It needs a lot of data and model changes across many runs. Track and compare your runs in one place and quickly share reports with your team. Galileo has been built to integrate with your ML ecosystem. Send a fixed dataset to your data store to retrain, send mislabeled data to your labelers, share a collaborative report, and a lot more! Galileo is purpose-built for ML teams to build better quality models, faster.
  • 3
    Aim

    Aim

    Aim

    Unleash the business benefits of generative AI without the risks. From visibility to remediation, secure organizational AI use while leveraging your existing security environment. Know where your AI is. Get a comprehensive inventory of all generative AI apps across the entire organization. Manage your AI risk. See what applications can store and learn about your data, and understand what data is connected to which LLM. Gain insights on AI adoption over time, with Aim’s continuous business-critical insights. Aim empowers enterprises to securely leverage public generative AI technology. Discover all shadow AI tools, reveal their risks, and apply real-time data protection policies. Aim secures your internal LLM deployment. Enable the hyper-productivity of copilots, and let Aim secure them by eliminating misconfigurations, detecting threats, and fortifying trust boundaries.
  • 4
    Acuvity

    Acuvity

    Acuvity

    Acuvity is the most comprehensive AI security and governance platform for your employees and applications. DevSecOps implements AI security without code changes and devs can focus on AI Innovation. Pluggable AI security results in completeness of coverage, without old libraries or insufficient coverage. Optimize costs by efficiently using GPUs only for LLM models. Full visibility into all GenAI models, apps, plugins, and services that your teams are using and exploring. Granular observability into all GenAI interactions with comprehensive logging and an audit trail of inputs and outputs. AI usage in enterprises requires a specialized security framework that is able to address new AI risk vectors and comply with emerging AI regulations. Employees can use AI confidently, without risking exposing confidential data. Legal would like to ensure there are no copyright, or regulatory issues while using AI-generated content.
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