Protect your business with Jaroona’s groundbreaking technology. It detects and fixes vulnerabilities automatically before hackers even have a chance. Jaroona provides comprehensive protection for your critical applications and valuable data, keeping your digital foundation secure.
Our innovative platform uses state-of-the-art AI algorithms. Jaroona not only identifies potential risks, but also responds proactively to neutralize threats in real time. This significantly minimizes the attack window and ensures continuous availability.
With Jaroona, you gain complete visibility across your entire application landscape. You can rely on even the most complex attacks being repelled. This allows you to focus fully on your core business while we protect your digital infrastructure.

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Jaroona Enterprise Application Security
The Jaroona Enterprise Application Security (JEAS) solution is a Web 3.0 SAST tool that provides automated vulnerability detection and remediation suggestions. It is a ground breaking technological innovation that deploys ML and deep learning to improve detection speed, accuracy, and code base coverage, including automated API security testing and automated vulnerability remediation suggestions.
We are pleased to announce that Veracode has acquired Jaroona's auto-remediation technology. This collaboration enables us to integrate Jaroona's innovative technology into Veracode's solutions and create even greater value for our customers.
This strategic acquisition underscores the effectiveness and value of our AI-powered technology in application security and strengthens our position as a leading innovator in the cybersecurity industry.
The Jaroona Enterprise Application Security (JEAS) solution leverages the power of deep learning networks to automatically learn from millions of vulnerabilities that have been recorded in public databases since 1999. These vulnerabilities come from both open-source projects and enterprise solutions from leading IT companies worldwide.
JEAS outperforms all other commercially available solutions across all key metrics: false positive rate, false negative rate, accuracy, speed, and scalability.
Continuous unsupervised learning from millions of commits enables JEAS to integrate knowledge from new vulnerabilities and fixes every day.
The system can identify the exact location of each vulnerability in the target code and highlight relevant functions or instructions in color.
At the heart of the solution is a customized framework that uses deep learning to detect software vulnerabilities: the JEAS Vulnerability Framework. It represents program code as vectors that contain syntactic and semantic information for vulnerability detection.
The framework is extensible and language-independent, making support for new programming languages possible within a few weeks. It currently covers 121 Common Weaknesses (according to the Common Weakness Enumeration) with daily expansions.
Only 3.2% compared to the industry average of 20-25%. Developers waste no time evaluating nonexistent vulnerabilities.
Only 5.5% compared to the industry average of 50-60%. Critical security flaws are not overlooked.
Compared to the industry average of 70-75%. Nearly perfect detection of real vulnerabilities.
The numbers speak for themselves. Jaroona outperforms the average commercially available solution in every important metric and sets a new standard in application security.
Can be slow and inaccurate, with high rates of false positives that waste valuable developer time.
Labor-intensive and error-prone. Requires significant manual review and can only test already deployed code.
Costly and with gaps in coverage. Requires specialized expertise and does not integrate seamlessly into development workflows.
None of these solutions offers automated suggestions for fixing vulnerabilities, which is a significant disadvantage. Organizations must spend valuable technical resources on the manual remediation of security issues.
Detects and fixes vulnerabilities in source code before they reach production.
Reduces the burden on technical teams through machine learning and deep learning.
Automatically learns from thousands of daily updates from over 3,000 security databases worldwide.
Jaroona's unique technology addresses all of these limitations with a completely new approach based on the latest advances in machine learning.
Jaroona uses advanced machine learning algorithms to automatically detect and classify new threats.
The system continuously learns from millions of daily code commits across both enterprise and blockchain projects.
Unlike traditional solutions, Jaroona provides automated suggestions for fixing vulnerabilities, dramatically speeding up the security improvement process.
The solution integrates seamlessly into existing development workflows without slowing down the development process.
"Jaroona is a true breakthrough technology. Our AppSec team is thrilled with the usability and performance, and even though the world is becoming more dangerous, our applications are safer than ever before."
Automated detection and remediation of vulnerabilities significantly reduces manual effort. Accurate results with minimal false positives enable AppSec teams to focus on strategic security initiatives.
Seamless integration into existing development workflows without affecting speed. Automatic remediation suggestions save valuable development time and improve code quality.
Reduced costs for technical resources and improved security measures. Demonstrable ROI through increased efficiency and reduced risk of security breaches.

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