eSentire
Security threat investigation
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
- 99.3% of attacks stopped at first machine
- 95% alignment with expert reasoning
Scaling required 5 hours of manual review per case. Claude now replicates expert reasoning in under 7 minutes with 95% accuracy.
A managed detection and response provider protecting critical infrastructure organizations in over 80 countries.
Scaling expert-level security analysis to new markets was limited by manual workflows that required five hours of human review per investigation. The...
“We needed to deliver expert-level investigation precision at scale while enhancing transparency of threat resolution outcomes.”
Managed Detection and Response (MDR) and security operations center services.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Clients struggled to decipher dense threat tables. GenAI now turns raw data into clear, localized narratives in 10 languages.
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
300,000 applications bottlenecked hiring. AI now ranks talent and a Teams bot handles admin, cutting time-to-hire by 43%.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Scaling required 5 hours of manual review per case. Claude now replicates expert reasoning in under 7 minutes with 95% accuracy.
A managed detection and response provider protecting critical infrastructure organizations in over 80 countries.
Scaling expert-level security analysis to new markets was limited by manual workflows that required five hours of human review per investigation. The...
“We needed to deliver expert-level investigation precision at scale while enhancing transparency of threat resolution outcomes.”
Managed Detection and Response (MDR) and security operations center services.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Clients struggled to decipher dense threat tables. GenAI now turns raw data into clear, localized narratives in 10 languages.
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
300,000 applications bottlenecked hiring. AI now ranks talent and a Teams bot handles admin, cutting time-to-hire by 43%.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.