The Penetration Testing Tools solutions below are the most common alternatives that users and reviewers compare with Edgescan. Penetration Testing Tools is a widely used technology, and many people are seeking powerful, productive software solutions with data security, security auditing, and user analytics. Other important factors to consider when researching alternatives to Edgescan include security. The best overall Edgescan alternative is Wiz. Other similar apps like Edgescan are Scrut Automation, Cloudflare Application Security and Performance, Postman, and GitLab. Edgescan alternatives can be found in Penetration Testing Tools but may also be in Cloud Security Posture Management (CSPM) Software or Security Compliance Software.
Wiz is a CNAPP that consolidates CSPM, KSPM, CWPP, vulnerability management, IaC scanning, CIEM, DSPM, and container and Kubernetes security into a single platform.
Automatically test your cloud configurations against 150+ CIS benchmarks across multiple cloud accounts on AWS, Azure, GCP and more, to maintain a strong infosec posture.
Cloudflare Application Security and Performance solutions provide performance, reliability, and security for all of your web applications and APIs, wherever they are hosted and wherever your users are.
An open source web interface and source control platform based on Git.
Enabling the world’s biggest and brightest companies to transition from incoherent, disconnected DevOps to self-service, fast, secure workflows connecting software delivery to business outcomes.
Product Description: Palo Alto Networks' Cortex XSIAM is an AI-driven security operations platform designed to transform traditional Security Operations Centers by integrating and automating key functions such as data centralization, threat detection, and incident response. By leveraging machine learning and automation, it enables organizations to detect and respond to threats more efficiently, reducing manual workloads and improving overall security posture. Key Features and Functionality: - Data Centralization: Aggregates data from various sources into a unified platform, providing comprehensive visibility across the enterprise. - AI-Powered Threat Detection: Utilizes machine learning algorithms to identify anomalies and potential threats in real-time. - Automated Incident Response: Streamlines response processes through automation, enabling rapid mitigation of security incidents. - Integrated SOC Capabilities: Combines functions such as Extended Detection and Response , Security Orchestration, Automation, and Response , Attack Surface Management , and Security Information and Event Management into a cohesive platform, eliminating the need for multiple disparate tools. - Scalability: Designed to handle large volumes of data and adapt to the evolving needs of modern enterprises. Primary Value and Problem Solved: Cortex XSIAM addresses the challenges of disjointed data, weak threat defense, and heavy reliance on manual work in traditional SOCs. By centralizing data and automating security operations, it simplifies processes, enhances threat detection accuracy, and accelerates incident response times. This transformation enables organizations to proactively outpace threats, reduce operational costs, and achieve a more robust security posture.
Red Hat Ansible Automation Platform is a simple way to automate apps and infrastructure. Application Deployment + Configuration Management + Continuous Delivery.
From the beginning, we've worked hand-in-hand with the security community. We continuously optimize Nessus based on community feedback to make it the most accurate and comprehensive vulnerability assessment solution in the market. 20 years later and we're still laser focused on community collaboration and product innovation to provide the most accurate and complete vulnerability data - so you don't miss critical issues which could put your organization at risk. Tenable is a 2021 Gartner Representative Vendor in Vulnerability Assessment.
Harness is the first Continuous Delivery-as-a-Service platform that uses Machine Learning to simplify the entire process of delivering code from artifact into production – quickly, safely, securely, and repeatably.