Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
A digital banking platform provider powering online experiences for over 26 million users and 1,400 financial institutions, facilitating more than $3.5 trillion in annual transactions.
As the organization transitioned to a distributed cloud architecture, its legacy endpoint detection system relying on application whitelisting became...
“We tried re-implementing an EDR solution with another vendor and got everything cleaned up, but within four months we were right back where we started. It became a challenge to maintain that solution while also sustaining a strong security posture.”
Cloud-based digital banking and lending platform for financial institutions.
Autonomous AI-powered cybersecurity platform for endpoint and cloud protection.
Q2's Security operations is part of this use case:
Related implementations across industries and use cases
Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
A digital banking platform provider powering online experiences for over 26 million users and 1,400 financial institutions, facilitating more than $3.5 trillion in annual transactions.
As the organization transitioned to a distributed cloud architecture, its legacy endpoint detection system relying on application whitelisting became...
“We tried re-implementing an EDR solution with another vendor and got everything cleaned up, but within four months we were right back where we started. It became a challenge to maintain that solution while also sustaining a strong security posture.”
Cloud-based digital banking and lending platform for financial institutions.
Autonomous AI-powered cybersecurity platform for endpoint and cloud protection.
Q2's Security operations is part of this use case:
Related implementations across industries and use cases
Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.