Kaspersky Leverages AI To Enhance Cybersecurity

Kaspersky is highlighting its two-decade investment in AI and ML for cybersecurity, tracing work from a 2004 malware-analysis system to recent product updates in 2024–2025. The company says its models helped prevent over 6 million mobile attacks in 2024, boosted APT detection 25% and added a 2025 SIEM AI module for faster triage. This positions Kaspersky to deliver automated, scalable threat detection for enterprises and SMEs.
Key Points
- 1Implements AI across products: two decades of ML, starting 2004, embedded in SIEM, EDR, XDR
- 2Increases detection: 25% APT detection gain in 2024 and six million mobile attacks blocked
- 3Enables practitioners: AI-driven triage, automated response, and accessible enterprise-grade protection for SMEs
Scoring Rationale
Strong official evidence of sustained AI capability and measurable gains, limited by reliance on vendor-sourced claims without independent validation.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
