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.
At a glance
- Category
- Security
- Best for
- Software Companies, Enterprise Companies, Organizations requiring air-gapped security, Teams managing API traffic
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- OWASP Top 10 Protection, Bot and DDoS Mitigation, Securing AI Workloads, Air-Gapped Security Monitoring
- Integrations
- F5 LB, VPC Mirror
- Official website
- ammune.ai
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
Protects against content-based applicative attacks as defined by the OWASP Top 10 using deep packet inspection.
Detects bot traffic by analyzing traffic content, context, and metadata over multiple time scales.
Designed to mitigate multi-vector applicative DDoS attacks tailored against specific API endpoints.
Analyzes in-session and historical traffic to identify and prevent business logic attacks and fraud.
Generates dynamic catalogs of API endpoints to help security teams identify potential excessive data exposure.
Supports running the security platform offline within the user's network to prevent data export.
Use Cases
Using the API-WAF module to defend against common application security vulnerabilities.
Identifying and blocking automated bot traffic and multi-vector DDoS attacks at the endpoint level.
Providing a layer of defense for AI data centers and inference pipelines.
Implementing threat detection and incident response in environments where external internet connectivity is restricted.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
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.
Yes, it includes dedicated API-BOT and API-DDoS modules designed to detect and mitigate automated threats and multi-vector DDoS attacks.
The platform is designed to run on-premises, in the cloud, on containers, or on DPUs.
Source category: Security
Source subcategory: Vulnerability Management
