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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
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