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Qwiet AI’s preZero application security testing platform provides SAST, SCA, Container Scanning, and Secrets Detection all in one speedy scan. Developers love our flexibility, speedy scans, and low false positive rate. AppSec loves our prioritization, reporting and ease of use. Take our preZero platform for a spin for free to see for yourself how Qwiet AI can help you.
AI isn’t a buzzword at Qwiet AI, it’s our superpower! Our patented Code Property Graph (CPG) is a perfect match for AI, providing fast and accurate scans which helps developers spend more time writing code and less time chasing false positives.
Context is key. The risk for an individual vulnerability varies greatly based on its context. Is it reachable? Is it being actively exploited? Qwiet AI's preZero platform helps you put things into perspective so you can prioritize fixes.
Accuracy alone is not enough. The preZero platform tells you which vulnerabilities can actually be reached by an attacker, letting you focus your team's effort only on the most critical issues.
Where do the vulnerabilities lie? And what other elements of the app are affected? The Code Property Graph (CPG) shows you by mapping the data flows throughout your entire application and calls out what’s subject to attack.
We do our scans in your environment, which makes them quicker and provides more accurate detection because it’s using your own configuration and not a mock up in our environment. See how you can start at no cost right now.
Using AI/ML to find and fix vulnerabilities before they are deployed
Our patented CPG delivers unrivaled speed and accuracy to detect vulnerabilities
Our preZero platform works the way you do
The Qwiet AI preZero Platform integrates security into your existing CI/CD pipelines, ticketing systems, and development tools—which gives developers rapid feedback so they can find and fix high-priority vulnerabilities within the code they’re working on.
Standard detection methods can only take you so far. Using a custom, purpose built AI engine trained on over 78 billion lines of code and combined with our patented Code Property Graph (CPG) detection, Qwiet AI can find unknown vulnerabilities in previously unknown libraries with a level of accuracy that previously required highly trained code scientists to attain.
What does this mean for you? Faster, more accurate scans that help you focus on the important vulnerabilities so you can spend more time writing code and less time chasing down false positives.
The Code Property Graph forms the basis of our scanning methodology. We use a patented process to graph out your code into its fundamental components, identifying functional elements and data flow paths into a single property graph. This allows preZero a holistic view of code being scanned, looking at not just the elements of the application, but also analyzing how data is flowing and how libraries interact with each other. This provides a much more accurate method for detecting security issues quickly and with dramatically lower false positives.
All vulnerabilities are not created equally and if you want to release code on schedule, you need a solid way to prioritize alerts. Our preZero platform provides multiple methods to quickly filter down to the most critical results in a scan. With our Blacklight feature we add a threat feed into the mix, letting you know which vulnerabilities in your app have active exploits out in the wild. Combining that with reachability and criticality filters can help you cut down on the noise and focus on the vulnerabilities that will have the biggest impact to your application.
False positives can have a huge impact across an organization. They can cause AppSec teams to send over too many alerts to the already overworked engineering teams, leading to alert fatigue and tension between development and AppSec. Qwiet AI’s patented CPG based scanning methodology, provides our customers with an extremely low false positive rate. In a recent bakeoff against a legacy SAST vendor, Qwiet AI returned 10x fewer false positives, giving the customer back almost 10,000 hours they could now spend on development instead of chasing down false positives. Give preZero a try for yourself and see how much time you can save.
Enhanced vulnerability information helps security become a better partner with the development teams by providing real world insight into the vulnerabilities that are being actively exploited and could potentially lead to a costly post-release patch if not addressed.
Instead of handing down a huge list of issues and saying, “Ok, you need to fix all of these,” you can partner with development to strategically address the issues that have a high probability of being exploited without adding to tech debt.
Engineering leaders see the news headlines and get asked by the top leadership and board of directors if they’re subject to the next big attack–think log4j and Kaysera.
Enhanced vulnerability information not only provides you with precise information on what security fixes are the highest priority, continual scans can create software builds of materials that highlight what’s being used where–including security insights into containers.
Your reputation, your bottom line, your loyal customers, and partners too–all of them are at stake. One breach, one hack, or one attack can gravely damage the business if a vulnerability in one of its apps gets exploited.
Put simply, the Qwiet AI preZero platform provides that ounce of prevention now versus that ton of costly cure later. By making security a continuous aspect of development rather than an afterthought, the business stands to gain by not losing to the attacks that take others down.
The Code Property Graph turns code into a format that not only makes it machine readable, but also provides a view into the relationships between components and how the data flows through your application.
This provides much richer insight than you can get by just parsing the code with regex, allowing you to spend more time focusing on analyzing and improving code and less time hunting down the information you are looking for.
As a security engineer working with the Dev teams to implement SDLC and Code security standards and compliance, deploying Qwiet AI for static code testing was a great experience. I enjoyed working with the experts from the Qwiet AI team.
Read more great reviews from our customers at Gartner Peer Insights
September 22, 2023 | 3 min
# Log Injection **Log injection** is a type of *injection attack*. Injection attacks occur when maliciously crafted inputs are submitted by an attacker, causing an application to perform an unintended action. Log injection attacks occur when an attacker tricks the application into writing spurious or malicious entries in your log files. Log files are important […]
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September 20, 2023 | 6 min
As the neverending stream of publications implementing Executive Order (EO) 14028 continue to drop, the National Institute of Standards and Technology (NIST) continues to provide additional guidance. At the end of August 2023, NIST released its most recent draft Special Publication (SP) 800-204D “Strategies for the Integration of Software Supply Chain Security in DevSecOps CI/CD […]
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September 19, 2023 | 5 min
At the end of August 2023, Jenkins announced it experienced 79% growth between June 2021 and June 2023. With an estimated 44% market share, Jenkins is a critical technology automating CI/CD pipelines. As a technology pervasive across the developer community, the Jenkins vulnerabilities announced on August 6, 2023, will likely attract attackers seeking to infiltrate […]
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September 18, 2023 | 2 min
By Lukas Seidel Coding in dynamic languages like JavaScript and Python is fun and allows for fast iterations, but it comes with a cost. Without proper type information, developers are missing out on the ability to catch bugs early and get helpful IDE support. But the absence of properly typed variables makes life tricky not […]
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