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Ratings and Reviews 0 Ratings
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Adaptive SecurityAdaptive Security was founded in 2024 by seasoned entrepreneurs Brian Long and Andrew Jones. Since inception, the company has raised over $50 million from top-tier investors including OpenAI, Andreessen Horowitz, and executives from Google Cloud, Fidelity, Plaid, Shopify, and other industry leaders. Adaptive defends organizations against sophisticated, AI-driven cyber threats such as deepfakes, vishing, smishing, and spear phishing. Its next-generation security awareness training and AI phishing simulation platform enables security teams to deliver ultra-personalized training that adapts to each employee’s role, access level, and exposure. This training leverages real-time open-source intelligence (OSINT) and features highly convincing deepfake content—including synthetic media of a company’s own executives—to mirror real-world attack vectors. Through AI-powered simulations, customers can continuously assess and improve organizational resilience. Hyper-realistic phishing tests across voice, SMS, email, and video channels evaluate risk across every major vector. These simulations are fueled by Adaptive’s AI OSINT engine, giving teams deep visibility into how attackers might exploit their digital footprint. Today, Adaptive serves global leaders like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. With an industry-leading Net Promoter Score of 94, Adaptive is redefining excellence in cybersecurity.
What is Prism?
Prism is an innovative test-automation platform aimed at optimizing software testing across web, mobile, and API sectors. It offers a user-friendly web interface that carefully guides users through the setup process, enabling them to choose their desired testing framework while seamlessly incorporating all necessary components. Users can monitor the status of concurrent test executions across multiple platforms, browsers, devices, emulators, and simulators via a centralized dashboard. The platform also features advanced reporting powered by AI and machine learning, which includes more than 20 customizable widgets that provide detailed insights into both ongoing and historical test executions, allowing for thorough analysis of launch metrics, test coverage, failure trends, bug categorization, and recorded exceptions. To enhance the testing workflow, Prism utilizes a sophisticated machine-learning algorithm that reduces false positives and performs auto-analysis, pattern detection, and error classification, achieving an impressive 90% decrease in the workload associated with analysis. Moreover, the platform not only streamlines the testing process but also equips teams with the necessary information to make data-driven decisions, ultimately contributing to improved software quality and faster release cycles. This capability fosters a more efficient collaboration among team members, enhancing overall productivity and project outcomes.
What is Mayhem?
Mayhem is a cutting-edge fuzz testing platform that combines guided fuzzing with symbolic execution, utilizing a patented technology conceived at CMU. This advanced solution greatly reduces the necessity for manual testing by automatically identifying and validating software defects. By promoting the delivery of safe, secure, and dependable software, it significantly cuts down on the time, costs, and effort usually involved. A key feature of Mayhem is its ability to accumulate intelligence about its targets over time; as it learns, it refines its analysis and boosts overall code coverage. Each vulnerability it uncovers represents a confirmed and exploitable risk, allowing teams to prioritize their remediation efforts effectively. Moreover, Mayhem supports the remediation process by offering extensive system-level insights, including backtraces, memory logs, and register states, which accelerate the identification and resolution of problems. Its capacity to create custom test cases in real-time based on feedback from the target eliminates the need for any manual test case generation. Additionally, Mayhem guarantees that all produced test cases are easily accessible, transforming regression testing into a seamless and ongoing component of the development workflow. This remarkable blend of automated testing and intelligent feedback not only distinguishes Mayhem in the field of software quality assurance but also empowers developers to maintain high standards throughout the software lifecycle. As a result, teams can harness Mayhem's capabilities to foster a more efficient and effective development environment.
Integrations Supported
Bamboo
Docker
Drone
Google Cloud Platform
Jenkins
Okta
Slack
Travis CI
Integrations Supported
Bamboo
Docker
Drone
Google Cloud Platform
Jenkins
Okta
Slack
Travis CI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
TO THE NEW
Date Founded
2008
Company Location
Singapore
Company Website
www.tothenew.com/solutions/Prism
Company Facts
Organization Name
ForAllSecure
Date Founded
2012
Company Location
United States
Company Website
www.forallsecure.com
Categories and Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Categories and Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance