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What is Outpost24?

Achieving a thorough understanding of your attack surface necessitates a cohesive strategy that effectively reduces cyber risks by considering the viewpoint of potential attackers through regular security evaluations across diverse platforms, such as networks, devices, applications, clouds, and containers. Merely accumulating more data does not suffice; even experienced security teams can find it challenging to manage the sheer volume of alerts and vulnerabilities that arise. By leveraging cutting-edge threat intelligence and machine learning technologies, our solutions provide risk-focused insights that enable you to prioritize issues more effectively, thus reducing the time needed for vulnerability patching. Our proactive, predictive risk-based vulnerability management tools aim to strengthen your network security while accelerating remediation efforts and enhancing patching efficiency. In addition, we boast the industry's most thorough methodology for the continuous detection of application vulnerabilities, ensuring that your Software Development Life Cycle (SDLC) remains protected, facilitating quicker and safer software releases. Furthermore, secure your cloud migration with our specialized cloud workload analytics, CIS configuration assessments, and container evaluations designed for multi-cloud and hybrid environments, ensuring a robust transition. This comprehensive approach not only secures your assets but also fosters overall organizational resilience against the constantly evolving landscape of cyber threats. As a result, organizations can better navigate the complexities of cybersecurity challenges and maintain a strong defense posture.

What is Contrast Security?

In today's fast-paced business environment, software development must keep pace with the demands of the market. However, the current AppSec toolbox often suffers from a lack of integration, leading to complexities that can impede the software development life cycle. By employing Contrast, development teams can alleviate these challenges, as it reduces the complications that frequently affect their productivity. Traditional AppSec methods rely on a one-size-fits-all strategy for identifying and addressing vulnerabilities, resulting in inefficiencies and high costs. In contrast, Contrast optimizes the application of the most effective analysis and remediation techniques, significantly enhancing both efficiency and effectiveness. Additionally, disparate AppSec tools can create operational silos, which obstruct the gathering of actionable insights related to the application's attack surface. Contrast addresses this issue by offering centralized observability, essential for risk management and leveraging operational efficiencies, benefiting both security and development teams alike. Furthermore, Contrast Scan, designed specifically for integration within development pipelines, ensures the swift, precise, and cohesive solutions that modern software development demands, ultimately leading to a more agile and responsive approach.

Media

Media

Integrations Supported

.NET
5X
Amazon Web Services (AWS)
Contrast Assess
CycloneDX
Docker
GitHub
GitLab
Go
Gradle
Helm
Java
Kubernetes
Microsoft Teams
Panaseer
Python
Ruby
Silk Security
Splunk Cloud Platform
Sumo Logic

Integrations Supported

.NET
5X
Amazon Web Services (AWS)
Contrast Assess
CycloneDX
Docker
GitHub
GitLab
Go
Gradle
Helm
Java
Kubernetes
Microsoft Teams
Panaseer
Python
Ruby
Silk Security
Splunk Cloud Platform
Sumo Logic

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Outpost24

Date Founded

2001

Company Location

Sweden

Company Website

outpost24.com

Company Facts

Organization Name

Contrast Security

Date Founded

2012

Company Location

United States

Company Website

www.contrastsecurity.com/platform

Categories and Features

Application Security

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

PCI Compliance

Access Control
Compliance Reporting
Exceptions Management
File Integrity Monitoring
Intrusion Detection System
Log Management
PCI Assessment
Patch Management
Policy Management

Vulnerability Management

Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning

Vulnerability Scanners

Asset Discovery
Black Box Scanning
Compliance Monitoring
Continuous Monitoring
Defect Tracking
Interactive Scanning
Logging and Reporting
Network Mapping
Perimeter Scanning
Risk Analysis
Threat Intelligence
Web Inspection

Categories and Features

Application Security

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

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Cloud Workload Protection

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

Static Application Security Testing (SAST)

Application Security
Dashboard
Debugging
Deployment Management
IDE
Multi-Language Scanning
Real-Time Analytics
Source Code Scanning
Vulnerability Scanning

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