Chief Scientist Emeritus Fabian Yamaguchi and foundational Code Property Graph technology recognized with IEEE Test of Time Award

pagebanner-qwiet-shape
DATA SHEET

Qwiet AI Blacklight: Prioritize Fixed to What Matters Most

Introducing Blacklight
A New
Approach To Prioritization

In the race to produce code, security can sometimes seem like a bit of a speedbump. Engineering teams face tight deadlines and security teams want to ensure the code doesn’t ship with vulnerabilities that could lead to the next big breach. 

At Qwiet AI, we’ve found that even highly accurate scans and reachability details can still leave organizations wondering which fixes to prioritize that will maximize risk reduction and minimize tech debt. That is why we’ve introduced Blacklight to the preZero platform.

A New Way to Prioritize Fixes

  • Adds real world threat information to scan results

 

  • Details exploits, threat actors, ransomware, and botnets that are exploiting discovered vulnerabilities in the wild

 

  • Combining reachability with exploitability helps you prioritize the fixes that provide the biggest impact to risk in your environment

A Threat Feed for
Application Security

Threat feeds are valuable parts of any security organization’s arsenal, pulling information from various sources such as telemetry from network security tools, honeypots, scanning and crawling forums and open source repositories, human intelligence and others to provide timely information on the latest security threats. Qwiet AI’s preZero platform is the first in the industry to fully integrate a security threat feed into real time security analysis of code. Organizations can now see what exploits are out in the wild taking advantage of vulnerabilities preZero has found in their code, allowing for easier prioritization of fixes.

Utilizing EPSS to Determine
Exploitability

Of course with any AI, a guiding hand is needed to provide highly accurate results. When Qwiet AI finds previously unknown vulnerabilities, the results are double-checked by our security research team before being flagged as actual vulnerabilities.

Validated results are then included in the scan results and are also used to further train the AI, allowing for increasingly accurate scan results in the future. At Qwiet AI, we strive to be smarter tomorrow than we are today.

Qwiet AI 4 Pillars

1. Accuracy
2. Reachability
3. Exploitability
4. Speed

Blacklight Qwietsthe Noise Around Fixes

One of the biggest issues organizations face is one of prioritization. Now with Blacklight, Qwiet AI customers will have another tool at their disposal to help prioritize the issues found during a scan. When playing the balancing act between time to market and security, knowing which vulnerabilities pose a real and existing threat can help focus engineering efforts on the fixes that will have the biggest impact and provide the largest reduction in risk. 

Blacklight is just another way Qwiet AI is helping our customers reduce the noise generated by false positives and focus on what’s important: releasing secure code without increasing tech debt.

See for yourself – run a scan on your code right now