Phishing Detection

Use AI to detect and explain phishing emails for improved cybersecurity defense.

Business impact

• Detection accuracy — Higher accuracy reduces false negatives, preventing more phishing attacks successfully
• Response time — Faster detection enables quicker mitigation, minimizing potential damage from phishing
• User awareness — Better explanations increase user understanding and vigilance against phishing threats

Data requirements

• Email content (Text) — Analyzed for linguistic and semantic phishing indicators using AI models
• URL metadata (Text) — Used to classify suspicious links via character-level and structural features
• User behavior logs (Structured) — Monitored to assess human risk and adapt training accordingly

AI methods and techniques

• Predictive AI — Classifies emails as phishing or legitimate based on learned patterns
• Generative AI — Creates realistic phishing templates for training and testing detection systems
• Agentic AI — Supports interactive user assistance and adaptive training in phishing defense

AI models and model families

BERT, Llama, Wizard, GPT-40-mini, DeepSeek R1 Distill Qwen 14B