Prowler Introduces Attack Path Visualization
This launch advances Prowler’s mission to make cloud safety proactive, enabling groups to know, prioritize, and remove real-world assault routes
Prowler, the chief in open cloud safety, at the moment introduced the discharge of Attack Path Visualization, a significant enhancement to the Prowler platform that reveals how threats transfer throughout multi-cloud environments and identifies essentially the most impactful routes attackers might exploit.
The launch builds on the momentum following Lighthouse AI and MCP Server and additional establishes Prowler because the world’s most generally adopted open cloud-security platform that delivers cloud safety for ANY cloud at AI velocity.
A Knowledge Graph for Cloud Security
DevSecOps groups proceed to face overwhelming volumes of disconnected alerts that present little understanding of how dangers relate to at least one one other. Traditional scanners determine hundreds of points however not often present how misconfigurations, permissions, identities, and information entry mix to type actual assault paths. What’s lacking is a relationship-aware, related view of the cloud, one which turns fragmented findings into significant insights and highlights the dangers that truly matter.
Attack Path Visualization introduces a unified data graph that maps all cloud sources together with the relationships that hyperlink them. Unique to Prowler, any findings associated to sources are additionally linked within the graph for quicker traversal and contextual evaluation.
By analyzing these dependencies, Prowler exposes the exact paths an attacker might use to escalate privileges, transfer laterally, or attain delicate techniques.
Security groups achieve a direct understanding of how particular person misconfigurations or uncovered sources contribute to bigger, multi-step dangers. Instead of remoted alerts, they now see the complete chain of influence.
Lighthouse AI Integrates Deep Security Context
The new data graph may even function a core information supply for Lighthouse AI, Prowler’s autonomous safety assistant. Lighthouse AI now causes instantly over this related graph to:
- Identify high-impact assault paths and the earliest level of compromise
- Prioritize findings primarily based on actual attackability slightly than static severity
- Generate correct, environment-aware remediation steps
- Automate fixes by MCP-powered workflows inside developer instruments
By combining deep graph context with agentic AI decision-making, Lighthouse AI dramatically accelerates danger understanding and shrinks the hole between detection and remediation. Cloud environments proceed to develop in scale and complexity, making it more durable for groups to know how dangers work together. Attack Path Visualization transforms this complexity into readability by presenting the complete chain of potential compromise and highlighting the earliest level the place motion could have the best influence.
“Our mission has at all times been to carry readability and autonomy to cloud safety,” stated Toni de la Fuente, founder & CEO of Prowler. “Attack Path Visualization offers groups the entire image of how dangers join, and Lighthouse AI turns that understanding into immediate, actionable selections. It’s one other step towards a future the place safety isn’t simply quicker, it’s basically extra clever.”
The launch builds on the momentum following Lighthouse AI and MCP Server and additional establishes Prowler because the world’s most generally adopted open cloud-security platform that delivers cloud safety for ANY cloud at AI velocity.
Meet Prowler at AWS re:Invent
Attack Path Visualization is accessible in preview at the moment inside Prowler Cloud and integrates robotically with Lighthouse AI and the MCP Server. Demonstrations and hands-on walkthroughs can be found this week at AWS re:Invent. Meet the Prowler group at sales space 1238 on the expo flooring.
To be taught extra or get began, go to www.prowler.com or join Prowler Cloud at https://cloud.prowler.com.
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