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What is Plexicus?

Plexicus is an advanced, agentless, cloud-native application protection platform that secures software development and production environments by eliminating vulnerabilities throughout the entire software supply chain. Using its proprietary Plexalyzer scanning engine, the platform continuously examines code repositories to detect security issues such as SQL injections, flagging risks in real time before they can cause harm. Plexicus leverages large language models and AI to transform raw vulnerability reports into rich, contextualized analyses that assess severity, potential impact, and recommended remediation steps. Its innovative AI agent, Codex Remedium, automatically generates and implements code fixes by creating pull requests that developers can review and merge with minimal effort. This streamlined workflow reduces traditional vulnerability remediation from several hours to under half an hour, saving teams up to 96% in time and associated costs. Plexicus provides a transparent dashboard to track findings, remediation status, and detailed performance metrics. The platform is designed to integrate smoothly with DevSecOps pipelines and supports compliance with industry standards. Trusted by prominent organizations worldwide, Plexicus helps security teams proactively manage risks with continuous monitoring, automated fixes, and comprehensive insights. Its flexible deployment and open-source foundations make it adaptable for a wide range of development environments. Ultimately, Plexicus empowers developers to prioritize security without sacrificing speed or productivity in software delivery.

What is AppSOC?

Achieve thorough coverage across various security scanners, which should include infrastructure, platforms, and applications. Formulate a cohesive policy that can be uniformly implemented across all scanners present in the pipeline, incorporating any microservice or application. Improve your software bill of materials by assimilating insights garnered from your SCA platform along with a diverse array of scanners. By generating consolidated reports that link applications to vulnerabilities, business leaders and product owners are better equipped to accelerate their time to market. The implementation of automated triaging, deduplication, and an impressive 95% reduction in noise enables a concentrated focus on high-priority vulnerabilities. With the advent of workflow automation designed for risk-based triaging and prioritization, organizations can effectively scale their operations instead of manually managing each individual issue. In addition, applying machine learning for correlation and risk assessment at the application level grants a precise understanding of how each vulnerability affects compliance, allowing for more strategic decision-making regarding security policies. This methodology not only refines security practices but also significantly boosts the organization’s agility in managing potential threats while fostering a culture of proactive risk management. By adopting these strategies, companies can ensure they are better prepared to handle the evolving landscape of cybersecurity challenges.