AI TOOL PROFILE

Ammune.ai: API Security and Vulnerability Management

Ammune.ai helps software and enterprise companies protect their APIs and AI workloads from unauthorized access and abuse. It is designed for organizations that require an air-gapped security model to maintain data isolation.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Software Companies, Enterprise Companies, Organizations requiring air-gapped security, Teams managing API traffic
Key use cases
OWASP Top 10 Protection, Bot and DDoS Mitigation, Securing AI Workloads, Air-Gapped Security Monitoring
Integrations
F5 LB, VPC Mirror
Visit Ammune.aiAmmune.ai software interface screenshot

How AI is used

Ammune.ai is a security platform designed to protect APIs, AI workloads, and data centers. It uses an AI/ML approach where separate micro-engines are assigned to protect specific APIs, which may help in detecting threats without requiring manual rule updates.

The tool is designed for software companies and enterprises defending against common API threats, including the OWASP Top 10 and various bot-driven attacks. It supports deployment on-premises, in the cloud, on containers, and on DPUs.

Buyers should note that the platform offers both protection and monitoring modes. The system focuses on air-gapped architecture, meaning it is designed to operate without external connections to help prevent data leaks.

Organizations should confirm with the vendor regarding specific licensed modules for bot detection or DDoS mitigation, as these are listed as separate components of the platform.

Key Features

  • API-WAF

    Protects against content-based applicative attacks as defined by the OWASP Top 10 using deep packet inspection.

  • API-BOT

    Detects bot traffic by analyzing traffic content, context, and metadata over multiple time scales.

  • API-DDoS

    Designed to mitigate multi-vector applicative DDoS attacks tailored against specific API endpoints.

  • API-BL

    Analyzes in-session and historical traffic to identify and prevent business logic attacks and fraud.

  • API Discovery

    Generates dynamic catalogs of API endpoints to help security teams identify potential excessive data exposure.

  • Air-Gapped Architecture

    Supports running the security platform offline within the user's network to prevent data export.

Use Cases

  • OWASP Top 10 Protection

    Using the API-WAF module to defend against common application security vulnerabilities.

  • Bot and DDoS Mitigation

    Identifying and blocking automated bot traffic and multi-vector DDoS attacks at the endpoint level.

  • Securing AI Workloads

    Providing a layer of defense for AI data centers and inference pipelines.

  • Air-Gapped Security Monitoring

    Implementing threat detection and incident response in environments where external internet connectivity is restricted.

Integrations

  • F5 LB
  • VPC Mirror

FAQ

What is the deployment model for Ammune.ai?

Ammune.ai offers an air-gapped deployment model, which is designed to keep AI models and data within the organization's network without requiring external connections.

Does Ammune.ai protect against bots and DDoS attacks?

Yes, it includes dedicated API-BOT and API-DDoS modules designed to detect and mitigate automated threats and multi-vector DDoS attacks.

Where can Ammune.ai be deployed?

The platform is designed to run on-premises, in the cloud, on containers, or on DPUs.

Source category: Security

Source subcategory: Vulnerability Management

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