In the latest Kaspersky Antivirus and broader security suites (especially Kaspersky Premium), AI and machine-learning enhancements have been integrated across multiple protection layers:

1. AI-Powered Threat Detection (Malware & Zero-Day):
   Kaspersky now uses machine learning models (beyond traditional signatures) to detect evolving malware patterns and suspicious behavior in real time. The AI engine can identify threats without relying solely on known signatures, which helps catch previously unseen malicious files and behaviors.
2. Advanced AI Phishing and Web Protection:
   The phishing engine incorporates AI to analyse webpage content—including hidden text within images and complex HTML structures—improving detection of scam sites that use obfuscation or mimic legitimate services. In independent testing, Kaspersky Premium scored high in phishing detection (e.g., a 93 % block rate in an AV-Comparatives test).
3. Behavioral & Contextual Analysis:
   AI looks at how processes behave over time (system changes, login patterns, resource usage) and flags anomalies not resembling typical legitimate activity. This goes beyond classic signature matching and reduces blind spots for novel threats.
4. SIEM & Enterprise-Level AI Insights (for Pro Users):
   For business users of Kaspersky SIEM, there’s a more advanced AI module that improves alert triage and accounts-compromise detection by learning normal behavior baselines and highlighting deviations—important for enterprise security teams.

 How It feels in daily use

Strengths & Positive Outcomes

• Improved protection against phishing & emerging threats: AI enhancements help catch sophisticated social engineering pages and malware that evade classic signatures. Independent testing data and certifications reflect solid detection capabilities overall.
• Adaptive learning: The system’s ability to refine detection over time through machine learning means more contextual and behavioral signals.
• Multi-layered protection: Even when malware changes its code to evade detection, behavioral analysis improves the chance of blocking it.

 Drawbacks & Real User Feedback

User Experience Issues

• AI support can disappoint: Some users criticize Kaspersky’s AI-based support/bot interactions as unhelpful when dealing with product issues—e.g., login problems or account recovery.
• Feature visibility & control: Community posts indicate that AI icons and automated features appear broadly in the UI with unclear toggles for advanced users, leading some to feel they can’t easily turn off “AI stuff” if they want more control.

 Customer Support Frustrations

• Independent reviews and forum comments reflect frustration with support responsiveness when hardware or performance issues occur. AI support bots don’t always provide a satisfying resolution path.

Market & Competitive Context

Even before these AI boosts, Kaspersky products consistently scored well in core antivirus tests, web protection, and real-time scanning, and customer reviews are generally positive outside support issues. But Kaspersky’s use of AI is now matched by major competitors like Bitdefender and others who also apply machine learning extensively.

 Overall Assessment

Pros:

• Strong phishing and malware detection empowered by AI that goes beyond signatures.
• More adaptive behavior analysis which helps catch sophisticated threats.
• Enterprise-level AI features give advanced context and anomaly detection.

Cons:

• UI and AI indicators can feel opaque; some users want clearer control over AI components.
• Support experiences with AI chat assistants are mixed and sometimes frustrating.
• Not a silver bullet—AI improves detection but can still produce alerts that need human interpretation.