Dark Light by Accenture Federal Services

Securing large organizations is growing more complex. Enterprises are expanding their attack surfaces across cloud, on-premises, managed services, edge, mobile and IoT devices while often lugging legacy technologies that increase cyber risk. At the same time, AI enables attackers to launch new and novel attacks, while those same tools can be used to harden cyber defenses. Today, cyber enterprises carry a toolbox of separate COTS tools for incident/event logs (SIEM), orchestration/response (SOAR), vulnerability scanning, threat intelligence (TIP), incident response, behavioral monitoring and more, creating silos that often obscure enterprise cyber risk.

Accenture Federal Services is excited to introduce Dark Light, an AI-powered cybersecurity accelerator built on the Databricks Data Intelligence Platform — a cutting-edge solution tailored to meet these critical demands. Dark Light takes a cloud-first, data-centric approach. By adopting a data-driven mindset, Dark Light simplifies decision-making to secure federal enterprises. It allows leading organizations to go beyond automating incident response by extending intelligence that enhances their own COTS cyber tools. With each attack, the entire enterprise learns and becomes more resilient, using the right balance of humans and automation for enhanced detection, response, threat hunting, predicting attacks and increasing resilience.

By reframing cybersecurity as a data, analytics and AI challenge, organizations unify cybersecurity data across their ecosystem to leverage the best of cloud (on-demand compute, low-cost storage, high availability), artificial intelligence, GenAI and decision support on Databricks to drive antifragility and become more resilient with each attack.

Cyber warfare will be won through antifragility — systems that use AI to learn, adapt and strengthen from each attack. Dark Light allows organizations to:

• Simplify decision-making to secure federal enterprises
• Achieve a balance between humans and automation to enhance detection and predict attacks
• Drive antifragility and become more resilient with each attach