AI-Based Attacks: The New Cybersecurity Arms Race in the U.S. 

The cybersecurity landscape across the U.S. is transforming massively through Artificial Intelligence, acting as both a shield and a sword. AI-based attacks are becoming more frequent, faster, more precise, and harder to detect – forcing organizations to rethink their defenses. At the same time, companies are using AI to detect breaches sooner and strengthen cyber resilience. A robust combination of a strong cyber strategy and cyber liability insurance is crucial to survive through this wave.  

As per the C-Suite Barometer from Forvis Mazars, 42% of executives identified security as a top digital transformation priority. All businesses, irrespective of size or industry, must prepare for AI-based attacks and adapt their cybersecurity strategy to stay ahead.  

What are AI-Based Attacks? 

An AI-based attack is an enhanced, automated version of traditional cyber threats. Such attacks use machine learning and generative AI to speed up development, disguise malicious intent, and execute with alarming precision. 

What makes AI-based attacks faster and much more deceptive is the fact that, unlike past phishing or ransomware attempts, AI can write malicious code, automate reconnaissance, and adjust in real time as defenses evolve.  

One of the most alarming ongoing trends is the use of deepfakes, which are AI-generated videos, images, or voice recordings that mimic real people. For example, receiving a Teams call from someone who looks like your CFO authorizing a fund transfer, which is likely to be fake. Deepfakes use publicly available content, like podcasts or conference recordings, to craft convincing scams. 

Other examples include AI-generated malware and automated scanning tools that identify and exploit vulnerabilities in seconds, an efficiency once only possible manually. 

Building Defenses Against AI-Based Attacks 

While cybercriminals are trying their best to innovate, defenders can use AI too. AI-powered tools can detect anomalies, respond to threats in real time, and automate containment before the damage spreads. By integrating AI into cybersecurity, companies can automate threat detection, improve incident response, and minimize downtime.  

Here’s how businesses can build stronger protection: 

• Use AI-integrated endpoint detection and response (EDR) tools. These tools isolate suspicious devices and stop malicious activity instantly. 
• Automate dark web monitoring and attack surface scans. AI can detect leaks and vulnerabilities before they’re exploited. 
• Incorporating AI in security testing. Use static and dynamic application testing (SAST and DAST) to identify weaknesses in new code or apps before launch. 
• Apply AI in incident response. Machine learning can identify root causes faster and prevent repeat incidents. 

These steps improve a company’s ability to detect, respond, and recover from AI-based attacks with greater accuracy and speed. 

Preparing for AI-Based Attacks 

With the rise in AI-driven threats, preparation is crucial. Sectors like healthcare, finance, and infrastructure are especially at risk. Here’s how to stay ahead:  

• Conduct AI-integrated penetration testing: Simulate voice cloning, phishing, or social engineering scenarios. 
• Train your team: Educate employees on how AI-based attacks appear, especially deepfakes and advanced phishing attempts. 
• Patch faster: Traditional 30-day patch cycles are too slow. Update internet-facing systems more frequently. 
• Strengthen email filters: Use AI-based detection to flag unusual language or formatting patterns. 
• Implement strong verification protocols: Never act on sensitive requests without multi-step validation. 
• Require MFA everywhere: Avoid single-factor access on any system. 
• Segment your network: Isolate critical assets to slow attack spread and enhance response. 
• Robust Insurance: Keep your pockets safe against any incoming threats. 

The Future Belongs to the Prepared 

AI-based attacks are not a temporary challenge; rather, they represent a permanent shift in the cybersecurity landscape. As attackers attempt to become more innovative, organizations must balance innovation with vigilance.  

By investing in AI-driven defenses, building awareness, and maintaining a financial safety net through cyber liability insurance, companies can better protect themselves against this evolving threat. Those who adapt early will not only reduce their exposure but also gain a competitive edge in the new era of intelligent cybersecurity.