Picus Adds New Features To The Picus Security Validation Platform

Picus Security announced the addition of Picus Attack Surface Validation and AI-driven threat profiling to the Picus Security Validation Platform. The new capabilities give security teams full context of their attack surface so they can accurately prioritize threat exposures based on risk.

As enterprise environments grow in complexity and exposure widens, prioritizing risk becomes even more critical. Traditional methods and siloed approaches fall short, often overwhelming teams with tasks and data points that are not actionable, highlighting the need for a holistic view.

Picus Attack Surface Validation (ASV) and AI-driven threat profiling deliver deep visibility from the Picus platform, allowing organizations to shift from asset management to risk-based prioritization of vulnerabilities, misconfigurations, and security gaps across all environments. ASV aggregates asset and vulnerability data from a wide range of data sources and delivers an up-to-date centralized view of internal and external attack surfaces. AI-driven threat profiling supplies additional context by using the latest cyber threat intelligence curated by PicusLabs, to guide defensive actions.

“To successfully manage threat exposure, security leaders need visibility”, said Picus Security CTO and Co-founder, Volkan Erturk. “Attempting to manage several complex tools in isolation to understand the bigger picture isn’t getting the job done.  With the Picus platform, security teams now have the full context they need in a single dashboard. This includes deep insights correlated from the attack surface, cyber threat intelligence data, and real-world attack simulations.”

The Picus Security Validation Platform includes:

  • Attack Surface Validation – Enhance visibility of internal and external cyber assets and the security risks they pose.
  • Security Control Validation – Measure and optimize the effectiveness of security controls with consistent and accurate attack simulations.
  • Cloud Security Validation – Identify cloud misconfigurations and overly permissive identity and access management policies.
  • Attack Path Validation – Eliminate high-risk attack paths that attackers could exploit to compromise users and assets.
  • Detection Rule Validation – Optimize detection efficacy by identifying performance issues affecting SIEM detection rules.