**Cyber Attackers Are Using AI Against Us – Here’s What That Means for Your Security**
Artificial intelligence has become a key player in the world of cybersecurity, and not just as a tool to defend against threats – AI is also being used by attackers to launch more sophisticated cyber attacks. These attacks, dubbed “adversarial AI,” exploit the same machine learning algorithms that protect us, but with malicious intent.
The CDSE (Center for Development of Security Excellence) is hosting a webinar on August 5, 2026, to discuss the growing threat of adversarial AI in cyber attacks. During the session, security experts will explore the ways AI is being used to evade detection, breach systems, and cause damage.
**Adversarial Techniques: How AI Is Being Used to Outsmart Security**
Adversarial AI involves the use of AI algorithms to deceive and manipulate security systems. Attackers are creating AI-powered tools that can mimic legitimate traffic, making it harder for security systems to distinguish between good and bad traffic. This can lead to false positives, false negatives, and in some cases, complete system crashes.
These attacks are especially concerning because they can be tailored to specific systems and networks, making them much harder to detect. **The average cost of a data breach in the US is $8.64 million**, and the use of adversarial AI in cyber attacks only adds to the complexity and cost of these incidents.
**Managing the Risk: What You Need to Know**
So, what can be done to mitigate the risks associated with adversarial AI in cyber attacks? The CDSE webinar will provide insights into the latest tactics and techniques used by attackers, as well as best practices for managing the risks.
**Key Takeaway:** The use of AI in cyber attacks is a growing concern, but it’s not a reason to be paralyzed by fear. By staying informed and adapting to the latest threats, security personnel can take steps to protect their systems and networks. The CDSE webinar on August 5, 2026, is a valuable resource for anyone looking to stay ahead of the curve when it comes to adversarial AI and cybersecurity risk.
