Robinhood
Financial crime investigation
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
- ~20% investigative workflow efficiency gain
Complex reverse engineering took experts a month. Now, AI agents dissect code and build defense plans in under 30 minutes.
A government technology contractor providing advanced cyber defense solutions to public and private sector clients facing rapidly evolving global threats.
Adversaries now use AI to generate custom malware in record time, outpacing manual defense strategies. Traditional reverse engineering required days...
“Bad actors can use AI to create custom malware in record time. To overcome that challenge at speed, we need to develop agentic AI systems for defense.”
Technology and management consulting for defense, intelligence, and civil agencies.
Cloud computing platform and on-demand infrastructure services.
Booz Allen Hamilton's Malware analysis is part of this use case:
Related implementations across industries and use cases
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Manually sifting wartime data was dangerously slow. Now, AI scans social media to filter noise, flag threats, and locate missing civilians.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
Complex reverse engineering took experts a month. Now, AI agents dissect code and build defense plans in under 30 minutes.
A government technology contractor providing advanced cyber defense solutions to public and private sector clients facing rapidly evolving global threats.
Adversaries now use AI to generate custom malware in record time, outpacing manual defense strategies. Traditional reverse engineering required days...
“Bad actors can use AI to create custom malware in record time. To overcome that challenge at speed, we need to develop agentic AI systems for defense.”
Technology and management consulting for defense, intelligence, and civil agencies.
Cloud computing platform and on-demand infrastructure services.
Booz Allen Hamilton's Malware analysis is part of this use case:
Related implementations across industries and use cases
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Manually sifting wartime data was dangerously slow. Now, AI scans social media to filter noise, flag threats, and locate missing civilians.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.