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Description
Asterisk is an innovative platform powered by AI that streamlines the process of identifying, verifying, and addressing security vulnerabilities in codebases, mimicking the expertise of a human security engineer. It shines in uncovering intricate business logic flaws via context-sensitive scanning and delivers thorough reports with an impressive rate of near-zero false positives. Its standout features encompass automated patch generation, constant real-time surveillance, and extensive compatibility with leading programming languages and frameworks. The Asterisk methodology includes indexing the codebase to develop precise mappings of call stacks and code graphs, which is essential for accurate vulnerability detection. The platform has proven its effectiveness by autonomously identifying vulnerabilities in various systems. Established by a group of experienced security researchers and competitive Capture The Flag (CTF) participants, Asterisk is dedicated to harnessing the power of AI to simplify code security audits and improve the process of vulnerability identification. As the digital landscape evolves, Asterisk continues to adapt, ensuring that software security remains a top priority for developers everywhere.
Description
Identify and address both recognized and unrecognized vulnerabilities throughout all stages of the device and software supply chain. Instead of simply aligning binaries with a catalog of known vulnerabilities, our method delves deeper into the execution of code, which allows for the detection of defects beyond just the binaries themselves. This innovative strategy enables Binarly to uncover a wide range of defect categories, surpassing the scope of known issues, and facilitates a quicker identification process with minimal false positives. We focus on recognizing both established and previously unidentified vulnerabilities, along with malicious activities, rather than relying solely on hash values or signature comparisons. Our approach expands insights past the Common Vulnerabilities and Exposures (CVE), revealing which vulnerabilities are present at the binary level. Additionally, by leveraging machine learning, we significantly reduce alert fatigue, achieving near-zero false positives, ensuring that our clients can focus on genuine security threats. Together, these strategies provide a comprehensive view of potential security risks in the supply chain.
API Access
Has API
API Access
Has API
Integrations
Common Lisp
GTranscribe
Wiretap Telecom
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
Asterisk
Website
asterisk.so/
Vendor Details
Company Name
Binarly
Founded
2021
Country
United States
Website
www.binarly.io