Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
A vulnerability management platform serving Fortune 500 customers who generate over 10 billion security data points in 90 days from more than 50 different sources.
With the time-to-exploit for software vulnerabilities collapsing from years to days, security teams struggled with analytical tools that were slow...
“Our goal is to make sure enterprises are able to keep up as the threat landscape changes rapidly with AI.”
Cogent's Security reporting is part of this use case:
AI agents for investigating and resolving security vulnerabilities.
ClickHouse is an open-source column-oriented database management system that provides real-time OLAP analytics and a managed cloud service for data warehousing, observability, and machine learning/GenAI workloads.
Related implementations across industries and use cases
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
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.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
A vulnerability management platform serving Fortune 500 customers who generate over 10 billion security data points in 90 days from more than 50 different sources.
With the time-to-exploit for software vulnerabilities collapsing from years to days, security teams struggled with analytical tools that were slow...
“Our goal is to make sure enterprises are able to keep up as the threat landscape changes rapidly with AI.”
Cogent's Security reporting is part of this use case:
AI agents for investigating and resolving security vulnerabilities.
ClickHouse is an open-source column-oriented database management system that provides real-time OLAP analytics and a managed cloud service for data warehousing, observability, and machine learning/GenAI workloads.
Related implementations across industries and use cases
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
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.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.