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.”
KPMG's AI application security is part of this use case:
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Retroactive security reviews added a week to projects. Embedding controls cut build times 30% and scaled AI to 50k employees.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Complex queries and inconsistent reporting slowed analysts. AI now turns prompts into structured investigations, speeding analysis by 70%.
Disconnected security tools left cloud blind spots. Now, AI autonomously contains threats, freeing analysts for complex investigations.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Lawyers manually reviewed 300-page technical reports. AI now scans the docs to draft affidavits and witness tables instantly.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
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.”
KPMG's AI application security is part of this use case:
Global professional services network for audit, tax, and advisory solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Retroactive security reviews added a week to projects. Embedding controls cut build times 30% and scaled AI to 50k employees.
Manual sampling struggled with petabytes of data. Now, AI agents analyze entire datasets, freeing auditors for high-risk insights.
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
Complex queries and inconsistent reporting slowed analysts. AI now turns prompts into structured investigations, speeding analysis by 70%.
Disconnected security tools left cloud blind spots. Now, AI autonomously contains threats, freeing analysts for complex investigations.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Lawyers manually reviewed 300-page technical reports. AI now scans the docs to draft affidavits and witness tables instantly.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.