This release advances Prowler’s mission to make cloud security proactive, enabling teams to understand, prioritize, and eliminate real-world attack routes
Prowler, the leader in open cloud security, announced the release of Attack Path Visualization, a major enhancement to the Prowler platform that reveals how threats move across multi-cloud environments and identifies the most impactful routes attackers could exploit.
The launch builds on the momentum following Lighthouse AI and MCP Server and further establishes Prowler as the world’s most widely adopted open cloud-security platform that delivers cloud security for ANY cloud at AI speed.
A Knowledge Graph for Cloud Security
DevSecOps teams continue to face overwhelming volumes of disconnected alerts that provide little understanding of how risks relate to one another. Traditional scanners identify thousands of issues but rarely show how misconfigurations, permissions, identities, and data access combine to form real attack paths. What’s missing is a relationship-aware, connected view of the cloud, one that turns fragmented findings into meaningful insights and highlights the risks that actually matter.
Attack Path Visualization introduces a unified knowledge graph that maps all cloud resources along with the relationships that link them. Unique to Prowler, any findings related to resources are also linked in the graph for faster traversal and contextual analysis.
By analyzing these dependencies, Prowler exposes the precise paths an attacker could use to escalate privileges, move laterally, or reach sensitive systems.
Security teams gain an immediate understanding of how individual misconfigurations or exposed resources contribute to larger, multi-step risks. Instead of isolated alerts, they now see the full chain of impact.
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Lighthouse AI Integrates Deep Security Context
The new knowledge graph will also serve as a core data source for Lighthouse AI, Prowler’s autonomous security assistant. Lighthouse AI now reasons directly over this connected graph to:
- Identify high-impact attack paths and the earliest point of compromise
- Prioritize findings based on real attackability rather than static severity
- Generate accurate, environment-aware remediation steps
- Automate fixes through MCP-powered workflows inside developer tools
By combining deep graph context with agentic AI decision-making, Lighthouse AI dramatically accelerates risk understanding and shrinks the gap between detection and remediation. Cloud environments continue to expand in scale and complexity, making it harder for teams to understand how risks interact. Attack Path Visualization transforms this complexity into clarity by presenting the full chain of potential compromise and highlighting the earliest point where action will have the greatest impact.
“Our mission has always been to bring clarity and autonomy to cloud security,” said Toni de la Fuente, founder & CEO of Prowler. “Attack Path Visualization gives teams the complete picture of how risks connect, and Lighthouse AI turns that understanding into instant, actionable decisions. It’s another step toward a future where security isn’t just faster, it’s fundamentally more intelligent.”
The launch builds on the momentum following Lighthouse AI and MCP Server and further establishes Prowler as the world’s most widely adopted open cloud-security platform that delivers cloud security for ANY cloud at AI speed.
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