Scalable application security startup DefectDojo Inc. today announced the launch of next-generation security operations center capabilities for DefectDojo Pro, which provides both SOC and AppSec professionals a unified platform for noise reduction and prioritization of SOC alerts and AppSec findings.

The new release seeks to address the issue where both SOC and AppSec teams attempt to cut through noisy data from a sprawling set of tools and sources. Now, Dojo Pro allows security teams to work from the same platform in a way that DefectDojo claims no other solution has offered to date.

The next-gen SOC capabilities build on DefectDojo’s previous efforts to simplify and streamline cybersecurity operations. With the new release, SOC teams can now use Dojo Pro’s machine learning algorithms to consolidate and remove duplicate findings, significantly cutting down the amount of data they must process and assess.

Teams can also take advantage of DefectDojo’s newly released risk-based prioritization features. They more effectively assess risk by factoring in exploitability, reachability, revenue, potential compliance factors, user records and a number of other factors to help teams find their most pressing vulnerabilities and SOC alerts to respond more quickly.

“DefectDojo has always prioritized meeting security teams where they are, providing them the flexible foundation to effectively manage their needs and making hypertechnical cybersecurity tools accessible,” said founder and Chief Executive Greg Anderson. “Unifying next-gen SOC and AppSec represents the culmination of all of our work to date and a major breakthrough in how different cybersecurity teams collaborate with each other.”

The next-gen SOC capabilities join a number of recently launched features for the Dojo Pro platform, including Rules Engine, which allows teams to customize rules to automatically manipulate, edit, enhance, add custom remediation advice, escalate or de-escalate specific findings, all without significant human effort.

DefectDojo is a venture capital-backed startup that last raised funding of $7 million in September. Investors in the company include Iolar Ventures and Aspenwood Ventures LP.

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