Bit Defender’s Director of Innovation
Razan Costake
Excitement about Work
Latest Technologies
- Works with generative AI to analyze hacking techniques and develop countermeasures.
- Focus on improving security measures through AI-powered threat detection.
- Over $1 trillion lost to scams in 2022, despite education efforts; 7% of people reported falling victim to losses due to lack of awareness or education.
- Contextual scams targeting online marketplace listings.
- Account takeovers with deep-fake technology.
- Voice-based scams using synthetic audio.
- Malvertising on Facebook, including fake loan or investment ads.
- Collects data from hundreds of millions of endpoints to detect patterns in scam activity.
- Uses fingerprint templates, clustering SMS messages, and call-intent analysis for detection.
- Immediate alerts via phone for malicious calls and SMS.
- Advises users to verify caller identity before taking action.
- Correlates events across multiple touchpoints (WhatsApp, browser, and phone) to identify suspicious patterns.
- Verify caller identity and context before acting on any information.
- Teach family members to critically evaluate information and use their own judgment.
- Scams adapt quickly based on current events; Singapore’s dedicated unit initially reduced losses but saw a spike in concerts reversing gains.
Fears and Statistics
Scam Types and Examples
WhatsApp Scams
Detection and Response Process
Analytics and Machine Learning
Customer Notifications
Multi-Touchpoint Attack Detection
Advice to Users
Additional Insights
link: https://www.youtube.com/watch?v=OhyVtuYxRU8

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