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features
design
support

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Description

Aiculus harnesses the power of Artificial Intelligence (AI) to identify and mitigate API security threats swiftly across all of your API transactions. Our comprehensive understanding of emerging API threats significantly enhances your organization's layered security approach. By collaborating with us, you not only safeguard your APIs, customer information, and brand integrity, but you also empower your organization to confidently pursue innovation and growth through APIs. Each API call is meticulously analyzed for unusual patterns and potential threat signals, aiming to uncover API credential theft, compromised accounts, and authentication bypass attempts. The API Protector diligently evaluates every API interaction to identify any misuse. Utilizing cutting-edge AI methodologies like machine learning and deep learning, it conducts behavioral analytics to deliver real-time adaptive risk assessments. When a request presents too high of a risk, it is promptly rejected, ensuring the ongoing protection of your systems. Additionally, your Aiculus dashboard provides a comprehensive overview of all API calls, threats, and risk evaluations, allowing for informed decision-making and proactive security management. This way, you can maintain a strong security posture while remaining agile in the ever-evolving digital landscape.

Description

open-appsec is an open-source initiative that builds on machine learning to provide pre-emptive web app & API threat protection against OWASP-Top-10 and zero-day attacks. It can be deployed as add-on to Kubernetes Ingress, NGINX, Envoy and API Gateways. The open-appsec engine learns how users normally interact with your web application. It then uses this information to automatically detect requests that fall outside of normal operations, and sends those requests for further analysis to decide whether the request is malicious or not. open-appsec uses two machine learning models: 1. A supervised model that was trained offline based on millions of requests, both malicious and benign. 2. An unsupervised model that is being built in real time in the protected environment. This model uses traffic patterns specific to the environment. open-oppsec simplifies maintenance as there is no threat signature upkeep and exception handling, like common in many WAF solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
F5 NGINX Ingress Controller
Kubernetes
NGINX
Sleek

Integrations

Amazon Web Services (AWS)
F5 NGINX Ingress Controller
Kubernetes
NGINX
Sleek

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Aiculus

Country

Singapore

Website

www.aiculus.co

Vendor Details

Company Name

open-appsec

Founded

2022

Country

Israel

Website

www.openappsec.io

Product Features

Product Features

Application Security

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

Web Application Firewalls (WAF)

Access Control / Permissions
Alerts / Notifications
Automate and Orchestrate Security
Automated Attack Detection
DDoS Protection
Dashboard
IP Reputation Checking
Managed Rules
OWASP Protection
Reporting / Analytics
Secure App Delivery
Server Cloaking
Virtual Patching
Zero-Day Attack Prevention

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