Case Study

How Aryaka secured their attack surface with Specular

1

Overview

Aryaka, a leader in unified SASE and cloud networking, manages a dynamic, complex computing network spanning multiple cloud environments and on-premise infrastructure.



Aryaka’s security team, led by Kurtis Berger, partnered with Specular to address visibility challenges and operational friction inherent in managing Aryaka’s complex network.

By shifting from fragmented tooling and datasets to Specular, Aryaka gained a unified view of their attack surface, enabling them to proactively identify shadow IT, mitigate exploitable vulnerabilities, and streamline remediation by replacing manual triage with agentic workflows.

Impact at a Glance

Asset Discovery

Autonomous, black-box mapping of the entire attack surface, including shadow IT missed by legacy tools.

Vulnerability Identification

Agentic workflows that validate exploitability and enrich analysis with threat intelligence and internal business context.

Remediation Speed

AI agents utilize RAG to draft tailored context-aware remediation plans and identify stakeholders.

Attack surface discovery in minutes

Siloed tools

Unified with Specular

10% false positive reduction

Remediation Effort

Hours

Minutes

2

Challenge

As organizations scale, the network becomes increasingly complex, especially in the SASE and cloud networking vertical which leverages a combination of on-premise and cloud based infrastructure. Aryaka needed a proactive way to view their attack surface through a unified proactive lens.

Shadow IT Identification

Detecting unexpected public-facing assets and services created outside of provisioning guardrails.

Changing Assets

Assets and services were continuously changing, making traditional scoped vulnerability discovery and coverage inadequate.

Manual Remediation

A manually intensive process. Identifying the internal stakeholders and drafting remediation plans, significantly delayed time-to-remediation.

3

Solution

Specular redefines proactive security by deploying specialized AI agents that identify, assess, and remediate vulnerabilities at machine speed. Specular’s agentic framework bridges the gap between external attack surface management (ASM), vulnerability identification, and remediation. By integrating directly with Aryaka's internal knowledge stores via Retrieval-Augmented Generation (RAG), Specular transforms hours of manual triage into seconds of automated, context-aware analysis.

Autonomous Black-Box Discovery

  • Specular’s agents autonomously mapped Aryaka’s entire attack surface
    • Spans on-premise, cloud, and third-party services—no initial internal access required
  • Established a baseline of all internet-facing assets
    • Includes shadow IT hidden from traditional management tools

Context-Aware Enrichment

  • Specular’s agentic RAG workflows integrated with Aryaka’s Azure and Jira deployments
    • Automatically contextualizes discovered services, assets, and vulnerabilities
  • Establishes a unified single source of truth across their hybrid network
    • Allows the security team to understand existing exposures

Agentic Remediation Workflows

  • Specular eliminates the manual friction of security operations by streamlining the response
  • AI agents analyze findings, synthesize the technical requirements, and draft remediation guidance for immediate review and action

Get a Closer Look with Specular

Specular helps turn findings into fixes.