3 things companies must do to protect applications in the age of AI

Featured Sponsor

Store	Link	Sample Product
UK Artful Impressions	Premiere Etsy Store

Organizations must quickly adapt your application security strategies to deal with new AI-driven threats.

They include:

• More sophisticated bot traffic.
• More credible phishing attacks.
• The rise of legitimate AI agents accessing customer online accounts on behalf of users.

By understanding the implications of AI for identity access management (IAM) and taking proactive steps, businesses can stay ahead of AI and protect their digital assets. Here are the top three actions that organizations preparing their application security for a post-AI world should consider in their security strategies:

Defend yourself from reverse engineering

Any application that exposes client-side AI capabilities is at risk of attacks from particularly sophisticated bots looking to “skim” or spam those API endpoints, and we’re already seeing examples of sites powered by engineering AI. reverse to get free AI computing.

Consider the example of GPT4Free, a GitHub project dedicated to reverse engineering sites to take advantage of GPT resources. It amassed a staggering 15,000+ stars in just a few days in a flagrant public example of reverse engineering.

To avoid reverse engineering, organizations need to invest in advanced fraud and bot mitigation tools. Standard anti-bot methods like CAPTCHA, rate limiting, and JA3 (a form of TLS fingerprinting) can be valuable in defeating common bots, but these standard methods are easily defeated by more complex bot problems like those faced by dots. AI endings. Protecting against reverse engineering requires more sophisticated tools like custom CAPTCHAs or tamper-resistant JavaScript and device fingerprinting tools.