Daily GenAI use introduced prompt injection risks. Real-time monitoring now blocks threats and addresses 8 of 10 top LLM security risks.
A "Big Four" financial audit and advisory firm with 40,000 employees operating across 95 locations in the United States, Israel, Mexico, and Latin America.
Daily employee usage of generative AI introduced critical risks, including prompt injections and data poisoning identified in the OWASP Top 10...
“The KPMG complex, multi-firm structure presents unique challenges that demand innovative solutions. Collaborating with Microsoft, we've prototyped features to deploy generative AI solutions like Microsoft Security Copilot. This strategic alliance meets our specific needs and broadens security visibility beyond endpoint, cloud, and identity through extensive use of Microsoft Security solutions.”
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KPMG's AI application security is part of this use case:
Related implementations across industries and use cases
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Manual reporting and blind spots overwhelmed the SOC. Now, analysts use AI to summarize phishing threats, speeding the handoff to IT.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Daily GenAI use introduced prompt injection risks. Real-time monitoring now blocks threats and addresses 8 of 10 top LLM security risks.
A "Big Four" financial audit and advisory firm with 40,000 employees operating across 95 locations in the United States, Israel, Mexico, and Latin America.
Daily employee usage of generative AI introduced critical risks, including prompt injections and data poisoning identified in the OWASP Top 10...
“The KPMG complex, multi-firm structure presents unique challenges that demand innovative solutions. Collaborating with Microsoft, we've prototyped features to deploy generative AI solutions like Microsoft Security Copilot. This strategic alliance meets our specific needs and broadens security visibility beyond endpoint, cloud, and identity through extensive use of Microsoft Security solutions.”
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KPMG's AI application security is part of this use case:
Related implementations across industries and use cases
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Basic AI chat couldn't resolve complex workflow bottlenecks. Now, non-technical staff build tens of thousands of custom micro-agents.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Manual reporting and blind spots overwhelmed the SOC. Now, analysts use AI to summarize phishing threats, speeding the handoff to IT.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.