Colombian National Army
Threat investigation
Manual cyber investigations delayed critical responses. Now, AI synthesizes complex attacks into human-readable threat reports.
- Investigation time cut from 2-3 hours to ~9 mins
Manually monitoring 5,000 devices meant discovering threats after the fact. Now, AI autonomously blocks risks before data is exposed.
A state government managing a public network of over 5,000 connected devices and servers, processing more than 1.1 petabytes of traffic while balancing strict data protection regulations with scarce funding.
Defenses relied on traditional tools that required constant manual monitoring, meaning the small security team often discovered issues only after...
“The biggest challenge was awareness. We needed to help every government employee understand that cybersecurity isn’t an obstacle — it’s part of their responsibility to protect citizens’ data.”
State government administration and public services provider for Sinaloa, Mexico.
Related implementations across industries and use cases
Manual cyber investigations delayed critical responses. Now, AI synthesizes complex attacks into human-readable threat reports.
A 9-to-5 security team left systems vulnerable to off-hours probes. Now, AI analyzes user baselines to block suspicious activity 24/7.
Drowning in 80,000 monthly alerts, analysts struggled to secure data. AI now prioritizes threats, cutting response time by 99%.
Manual cyber investigations delayed critical responses. Now, AI synthesizes complex attacks into human-readable threat reports.
A 9-to-5 security team left systems vulnerable to off-hours probes. Now, AI analyzes user baselines to block suspicious activity 24/7.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Writing case notes consumed support staff. GenAI now drafts summaries instantly, saving IT and HR nearly 10 hours of work every day.
Operations relied on local Excel sheets. Custom LLMs now translate tickets instantly and automate approvals across 600 sites.