Chainguard
Software engineering automation
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
- 2-week continuous session with full context
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.”
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.
Cogent's Security reporting is part of this use case:
Related implementations across industries and use cases
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
A solo HR leader spent 45 minutes manually compiling multi-currency reports. Now, simple AI prompts extract the exact live data needed.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.”
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.
Cogent's Security reporting is part of this use case:
Related implementations across industries and use cases
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
A solo HR leader spent 45 minutes manually compiling multi-currency reports. Now, simple AI prompts extract the exact live data needed.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.