AI vs. Signature-Based Security:

Signature-based systems rely on predefined patterns (signatures) of known threats. They are effective at blocking known attacks but are helpless against zero-day exploits.
AI-driven security tools employ machine learning to analyze network behavior and identify anomalies indicative of potential threats. They excel at detecting unknown threats, including zero-day exploits. However, they can generate false positives and require continuous training.
In essence, while signature-based systems offer rapid response to known threats, AI-driven tools provide a proactive defense against the evolving threat landscape. A balanced approach, combining both, is often considered optimal for robust security.

LATEST TRENDS IN PHISHING ATTACKS :

• Spear Phishing: Personalized attacks targeting specific individuals.
• BEC: Impersonating executives or vendors to trick employees.
• Smishing/Vishing: Phishing via SMS and voice calls.
• Clone Phishing: Replicating legitimate emails with malicious links.
• Pharming: Redirecting users to fake websites.
• Phishing Kits: Readily available kits making attacks easier and more scalable.
• Credential Harvesting: Stealing login details via fake login pages.
• Social Media Phishing: Using social platforms to scam users.
• Deepfake Phishing: Using deepfake tech for convincing attacks.

Protection Strategies :

1. Training: Regular employee training and phishing simulations.
2. Technical Measures: Using email security, MFA, and endpoint security.
3. Policies: Incident response plans and verifying sensitive requests.
4. Updates: Regular software and system updates.
5. Secure Tools: Web filtering and secure DNS(Domain Name System
6. Threat Intelligence: Staying informed and sharing intelligence.