Generic scoring buried teams in alert fatigue. AI now prioritizes threats by real-world exploitability, not just severity.
A global technology enterprise manages cybersecurity and IT operations for over 1,000 applications across 170 countries within complex hybrid environments.
Historical threat management methods were resource-intensive and generated significant alert fatigue, making it difficult for security teams to...
“At IBM, we are constantly evaluating advanced capabilities that can help take our enterprise and product security posture to the next level. IBM Concert is emerging as a solution that can do just that—integrating telemetry, context and AI-driven automation in a way that perfectly aligns with our security-by-design and threat-informed defense strategies.”
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Note — IBM is also the vendor behind this implementation.
Related implementations across industries and use cases
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Experts lost two hours daily gathering intel. AI now analyzes alerts automatically, freeing teams to focus on strategy.
Siloed teams drowned in manual alert triage. AI now automates patching and documentation, reclaiming 1,700+ analyst hours monthly.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Experts lost two hours daily gathering intel. AI now analyzes alerts automatically, freeing teams to focus on strategy.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
300,000 applications bottlenecked hiring. AI now ranks talent and a Teams bot handles admin, cutting time-to-hire by 43%.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Silos blinded IT across 40 sites. AI now predicts outages and routes 90k tickets, cutting high-priority incident resolution time by 92%.
Generic scoring buried teams in alert fatigue. AI now prioritizes threats by real-world exploitability, not just severity.
A global technology enterprise manages cybersecurity and IT operations for over 1,000 applications across 170 countries within complex hybrid environments.
Historical threat management methods were resource-intensive and generated significant alert fatigue, making it difficult for security teams to...
“At IBM, we are constantly evaluating advanced capabilities that can help take our enterprise and product security posture to the next level. IBM Concert is emerging as a solution that can do just that—integrating telemetry, context and AI-driven automation in a way that perfectly aligns with our security-by-design and threat-informed defense strategies.”
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Note — IBM is also the vendor behind this implementation.
Related implementations across industries and use cases
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Experts lost two hours daily gathering intel. AI now analyzes alerts automatically, freeing teams to focus on strategy.
Siloed teams drowned in manual alert triage. AI now automates patching and documentation, reclaiming 1,700+ analyst hours monthly.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Experts lost two hours daily gathering intel. AI now analyzes alerts automatically, freeing teams to focus on strategy.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
300,000 applications bottlenecked hiring. AI now ranks talent and a Teams bot handles admin, cutting time-to-hire by 43%.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Silos blinded IT across 40 sites. AI now predicts outages and routes 90k tickets, cutting high-priority incident resolution time by 92%.