Case 07 Threat detection
Advanced Threat Detection
Replacing antivirus that missed modern attacks with AI-driven, real-time detection across a mid-market enterprise.
- Client
- Mid-market enterprise
- Engagement
- Advanced threat detection platform
- Outcome
- Faster detection and fewer disruptions across the business
Overview
A mid-market enterprise faced a growing wave of sophisticated attacks that its antivirus tools could no longer catch. We deployed an advanced detection platform that uses AI and real-time analytics to spot attacks early, before they turn into costly incidents. The result: faster detection, fewer disruptions and a security team with visibility and control across the entire business.
Client names and identifying details are withheld for confidentiality.
The business view
The engagement in plain language, for owners, executives and boards.
- The risk
- Traditional antivirus was missing modern attacks, the security team was buried in false alarms, and leadership lacked a clear picture of risk.
- What changed
- AI-driven analytics now detect threats in real time across networks and endpoints, false alarms are filtered out, and threats are contained automatically.
- The result
- Faster detection, fewer disruptions and clear reporting that lets leadership track risk over time.
The detail for IT and security teams
The challenge
What was at risk
- Signature-based tools missed modern, fast-moving attacks.
- No unified view of activity across networks and endpoints.
- The security team was overwhelmed by false alarms.
- Late detection meant greater damage and higher costs.
- Leadership lacked a clear picture of security risk.
Our approach
What we did
- Deployed AI-driven analytics to detect threats in real time.
- Unified monitoring across all networks and endpoints.
- Reduced false alarms so analysts focus on real risk.
- Automated containment to stop threats from spreading.
- Introduced clear reporting so leadership can track risk over time.
Next step
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