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What is Sn1per Professional?

Sn1per Professional is an all-encompassing security solution designed to enhance your understanding of your network's vulnerabilities. It includes a risk scoring system for assets, allowing you to effectively prioritize, mitigate, and manage potential threats. With Sn1per Professional, users can swiftly detect and consistently track alterations within the attack surface. The platform seamlessly connects with both widely-used open source and commercial security tools, ensuring extensive coverage of security data. + Improve efficiency by automating the deployment of various security tools to uncover vulnerabilities throughout your entire attack surface. + Unveil hidden assets and weaknesses within your network environment. + Collaborate with leading commercial and open source security scanners to assess the latest CVEs and vulnerabilities present in your organization. + Identify and rank risks that may impact your organization. Gain valuable insights from an attacker's perspective with Sn1per Professional and take proactive steps to bolster your security posture!

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.