Contractors drowned in ticket backlogs. AI agents now crawl digital surfaces to spot patterns and auto-file takedowns 24/7.
A cybersecurity platform monitoring millions of digital touchpoints per minute, including webpages, app store listings, and advertisements for enterprise clients.
Existing solutions relied on third-party contractors to manually review flagged content, a process that was slow, inconsistent, and unable to scale...
“Security threats now mutate every hour, and OpenAI’s models make it possible for our defense to move just as fast. The models make it possible to build and automate parts of this workflow that weren’t feasible before this generation of agentic AI.”
Agentic AI platform for automated threat detection and impersonation defense.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
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.
Contractors drowned in ticket backlogs. AI agents now crawl digital surfaces to spot patterns and auto-file takedowns 24/7.
A cybersecurity platform monitoring millions of digital touchpoints per minute, including webpages, app store listings, and advertisements for enterprise clients.
Existing solutions relied on third-party contractors to manually review flagged content, a process that was slow, inconsistent, and unable to scale...
“Security threats now mutate every hour, and OpenAI’s models make it possible for our defense to move just as fast. The models make it possible to build and automate parts of this workflow that weren’t feasible before this generation of agentic AI.”
Agentic AI platform for automated threat detection and impersonation defense.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
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.