AXIOMIO

B2B SaaS · SharpSell

SharpSell Consolidates Multi-Account Threat Visibility

Sharpsell.ai is an AI-powered, mobile-first sales enablement and readiness platform designed specifically for frontline and field sales forces. It operates as a B2B SaaS solution that transforms complex product data into interactive sales playbooks, dynamic pitches, and personalized customer presentations on the spot. By integrating conversational AI, the platform provides automated role-playing and real-time coaching, allowing sales reps to practice pitches and handle objections effectively before meeting clients.

The Challenge

The customer operated a large multi-account AWS environment supporting multiple business units, applications, and environments. Security telemetry was distributed across individual AWS accounts and Regions, with no centralized platform to collect, correlate, or monitor security events. As a result, security analysts were required to investigate each account independently, making enterprise-wide threat detection slow, manual, and operationally inefficient.

The lack of centralized visibility became evident following a security incident that remained undetected for weeks. Although AWS services such as AWS CloudTrail, Amazon GuardDuty, and VPC Flow Logs had generated indicators of malicious activity, the events remained isolated across multiple AWS accounts and Regions, preventing analysts from identifying the attack until significant lateral movement had already occurred.

The customer engaged AxiomIO to implement a centralized Security Information and Event Management (SIEM) platform that consolidated security telemetry across the AWS environment, enabled cross-account threat detection, and established secure, role-based access to enterprise security data.

Our Solution

AxiomIO implemented a centralized SIEM platform using Amazon OpenSearch Service to provide a single operational view of security events across the customer's AWS environment.

Security telemetry from AWS accounts and Regions was consolidated into a dedicated logging account, where events were normalized, enriched, and indexed to enable enterprise-wide threat detection and investigation. The platform correlated telemetry from multiple AWS security services and infrastructure logs, allowing the Security Operations Centre (SOC) to identify suspicious activity that would otherwise remain isolated within individual AWS accounts.

The solution also incorporated a custom access-control model that applied least-privilege principles to security data, ensuring analysts received appropriate access while maintaining governance over sensitive log information.

Results

The centralized SIEM platform transformed the customer's security operations by providing enterprise-wide visibility into security events across all AWS accounts and Regions.

Key outcomes included:

  • Centralized collection and monitoring of security telemetry across the AWS environment.
  • Faster identification and investigation of security incidents through cross-account event correlation.
  • Improved threat detection by combining telemetry from multiple AWS security services into a single operational platform.
  • Automated security alerting and dashboard-driven monitoring for the Security Operations Centre (SOC).
  • Standardized onboarding of new AWS accounts and security log sources through a repeatable ingestion architecture.
  • Governed, role-based access to sensitive security data using least-privilege principles and centralized identity management.
  • Improved security governance through consistent monitoring, detection, and investigation processes across the enterprise.