AI-Powered Attacks
AI-Powered Attacks are attacks that use artificial intelligence and machine learning to improve targeting, evasion, or exploitation. They include phishing emails optimized to evade filters, credential cracking accelerated by neural networks, and social engineering conversations generated by language models.
# WHAT TEAMS RUN INTO
- —
AI-powered attacks are personalized and targeted. Traditional attacks send the same phishing email to millions of people. AI-powered attacks can generate personalized phishing emails that match each recipient's interests and context, improving success rates.
- —
AI-powered evasion is hard to defend against. Machine learning models trained to evade detection can adapt to new detection methods faster than human defenders can implement them.
- —
Proving attribution is harder with AI-powered attacks. When an attacker uses a language model to generate content, the content might not have obvious markers that identify the attacker. Attribution becomes harder.
# WHY IT MATTERS
AI-powered attacks are a new class of threat that defense teams are still learning to counter. AI makes attackers more efficient and more personalized. Defense must also evolve to use AI to detect and counter AI-powered attacks. Organizations that don't invest in AI-powered defense will face increasingly effective attacks from AI-powered attackers.