Ivanti Neurons for ASPM vs. AppSOC

Ivanti Neurons for ASPM (Application Security Posture Management) employs a risk-centric strategy for vulnerability management by consolidating and standardizing outputs from multiple scanning tools, such as SAST, DAST, OSS, and container technologies, into a cohesive dashboard that consistently connects these results with up-to-date threat intelligence to pinpoint the most critical risks and identify precise areas in the code. This solution delivers extensive visibility across the software development lifecycle and introduces a distinctive Vulnerability Risk Rating (VRR) that adapts to the current threat environment, surpassing traditional severity ratings to prioritize remediation efforts based on asset importance and existing threats. Furthermore, it encompasses advanced automation features, including the establishment of deadlines aligned with service level agreements, the orchestration of routine tasks, and customizable alerts that significantly reduce the need for manual oversight and hasten the resolution timeline. By incorporating role-based access control and smooth integration with ticketing systems, it guarantees that all participants in DevSecOps have access to vital information, thus fostering enhanced collaboration and efficiency in tackling security challenges. Overall, this holistic strategy not only simplifies the vulnerability management process but also empowers teams to respond rapidly to emerging threats, ensuring a more secure software environment. In an era where cyber threats are constantly evolving, maintaining agility and a proactive stance in vulnerability management is essential for any organization seeking to safeguard its applications.

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.