Transform Your Cybersecurity Posture with AI
Key Figures
200 days
faster breach detection saving £810,000 per incident using AI
426%
ROI and £2.1 million savings over 3 years using AI cybersecurity
20%
boost in security team productivity using AI automation
Use Cases of Artificial Intelligence in Cybersecurity
Threat Detection and Prevention
AI monitors network traffic and user behavior, flagging anomalies early to prevent attacks. It cuts breach detection and response time by up to 14 weeks.
Malware and Phishing Detection
AI tools scan emails in real-time, blocking phishing and malware with 94% accuracy, while deep learning detects new threats missed by traditional systems.
Automated Incident Response
AI isolates threats, stops attacks, and alerts teams instantly, resolving up to 70% of security issues automatically, reducing downtime and overall impact.
Security Operations Automation (SOAR)
AI handles tasks like log analysis and alert triage, reducing analyst fatigue. SMBs using tools like IBM SOAR cut threat response time by 50% and increase resilience.
Endpoint Protection
AI monitors device behavior in real-time to detect advanced threats, adapts instantly, flags insider risks, and delivers real-time threat intelligence for proactive SMB defense.
Anomaly Detection and Insider Threat Monitoring
AI system monitors access patterns, system usage, and data flows to identify irregular activities and potential insider threats.
Cyber Threat Intelligence
AI aggregates global threat data, dark web insights, and internal logs to deliver real-time intelligence on emerging cybersecurity risks.