Expertise was trapped with individuals. A shared AI memory now scales proven remediation patterns, boosting answer quality by 20%.
A global cybersecurity company safeguarding digital assets for enterprises, governments, and consumers across 65 countries.
Valuable investigation techniques and remediation strategies remained trapped with individual experts rather than benefiting the entire security...
“Companion began as an AI assistant to let customers explore vast amounts of security information across our portfolio through natural conversation—intelligently prioritizing threats, connecting disparate signals, and guiding analysts toward the most impactful actions. To meet this vision at scale, we leaned into AWS as the backbone for data and AI.”
Cybersecurity platform for cloud, endpoint, and network threat protection.
Cloud computing platform and on-demand infrastructure services.
Trend Micro's Security operations assistant is part of this use case:
Related implementations across industries and use cases
Users submitted tickets for known issues rather than sift through complex docs. Now, AI synthesizes sources into direct, cited answers.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Siloed data kept model accuracy under 70%. A unified platform raised precision to >90%, cutting unnecessary security dispatches.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
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.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Expertise was trapped with individuals. A shared AI memory now scales proven remediation patterns, boosting answer quality by 20%.
A global cybersecurity company safeguarding digital assets for enterprises, governments, and consumers across 65 countries.
Valuable investigation techniques and remediation strategies remained trapped with individual experts rather than benefiting the entire security...
“Companion began as an AI assistant to let customers explore vast amounts of security information across our portfolio through natural conversation—intelligently prioritizing threats, connecting disparate signals, and guiding analysts toward the most impactful actions. To meet this vision at scale, we leaned into AWS as the backbone for data and AI.”
Cybersecurity platform for cloud, endpoint, and network threat protection.
Cloud computing platform and on-demand infrastructure services.
Trend Micro's Security operations assistant is part of this use case:
Related implementations across industries and use cases
Users submitted tickets for known issues rather than sift through complex docs. Now, AI synthesizes sources into direct, cited answers.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Siloed data kept model accuracy under 70%. A unified platform raised precision to >90%, cutting unnecessary security dispatches.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
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.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.