Vulcan Steel Limited
Founded in 1995, Vulcan distributes and processes steel and aluminum across Australia and New Zealand, serving industries like construction, manufacturing, agriculture, and mining
Challenge heading: Securing growth across a complex, distributed footprint
As Vulcan expanded, its IT team inherited a complex mix of systems, network architectures, and security tools across 82 sites. Limited visibility made it harder to detect and respond to threats across both IT and operational technology environments. With production facilities dependent on uptime, even minor disruption could create business risk. Vulcan needed a stronger way to protect service reliability while improving defenses against an evolving threat landscape.
Why Vulcan chose Darktrace
Vulcan chose Darktrace for its Self-Learning AI, which detects unknown threats without relying on signatures. Darktrace integrated with Vulcan’s Microsoft environment and gave the team broader IT and OT visibility without costly architectural changes, supporting fast deployment and immediate value.
- Autonomous threat investigation at scale: Darktrace Cyber AI Analyst™ investigates billions of events and surfaces the issues that matter most. This helps reduce alert noise and gives security teams clearer context for faster decision-making.
- Rapid, precise autonomous response: With average response times of just over 30 seconds, Darktrace Autonomous Response helps contain threats before they escalate, supporting continuity across sensitive production environments.
- Enhanced visibility across IT and OT: Darktrace gives Vulcan a unified view across its hybrid environment, helping the team identify risks that could move between IT and OT systems and act earlier to reduce operational impact.
Results: Faster investigation, reduced noise, and stronger resilience
With Darktrace, Vulcan strengthened its ability to investigate and respond to threats across a complex hybrid environment. In one month, Darktrace analyzed more than 2.2 billion events, autonomously investigated 99% of threats, and escalated only 27 incidents for human review. This delivered the equivalent of 814 investigation hours back to the team while helping contain threats in an average of 30.5 seconds.


















