St. Luke's University Health Network
Security operations
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
- ~200 hours/month saved on phishing alert triage
High incident volumes across complex IT/OT networks overwhelmed security teams. Now, AI agents triage alerts so analysts can hunt threats.
South Africa's largest metropolitan municipality manages a complex digital estate spanning IT systems, operational technology, cloud services, and a distributed hybrid workforce.
As IT and operational technology environments converged online, the city faced growing cyber risks without sufficient specialist cybersecurity skills...
“The city now has a visual representation of its entire environment, and how it compares against Microsoft benchmarks for cybersecurity.”
Metropolitan municipality providing public services to the City of Johannesburg.
Managed the SOC and helped embed Security Copilot into the city's security workflows.
Enterprise software, cloud infrastructure, and consumer electronics platform.
City of Johannesburg's Security operations is part of this use case:
Related implementations across industries and use cases
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Years of unstructured procurement entries hid the license redundancies. PRISM parsed 1M+ rows and surfaced $2.5M in savings.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Knowledge scattered across dozens of tools; IT fielded constant questions. Now AI answers 98% of tickets, briefs generated in seconds.
High incident volumes across complex IT/OT networks overwhelmed security teams. Now, AI agents triage alerts so analysts can hunt threats.
South Africa's largest metropolitan municipality manages a complex digital estate spanning IT systems, operational technology, cloud services, and a distributed hybrid workforce.
As IT and operational technology environments converged online, the city faced growing cyber risks without sufficient specialist cybersecurity skills...
“The city now has a visual representation of its entire environment, and how it compares against Microsoft benchmarks for cybersecurity.”
Metropolitan municipality providing public services to the City of Johannesburg.
Managed the SOC and helped embed Security Copilot into the city's security workflows.
Enterprise software, cloud infrastructure, and consumer electronics platform.
City of Johannesburg's Security operations is part of this use case:
Related implementations across industries and use cases
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Years of unstructured procurement entries hid the license redundancies. PRISM parsed 1M+ rows and surfaced $2.5M in savings.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Knowledge scattered across dozens of tools; IT fielded constant questions. Now AI answers 98% of tickets, briefs generated in seconds.