Prediction 3
The AI-fueled threat landscape will create an AI vs. AI battlefield.
Prediction 3
The AI-fueled threat landscape will create an AI vs. AI battlefield.
The continued advancement and democratization of AI is fueling a hyper-personalized threat landscape, with bad actors leveraging generative AI to create realistic phishing campaigns, social engineering attacks, and deepfake impersonations that are increasingly difficult to detect. This arms race is forcing cybersecurity into an AI vs. AI battlefield, driving the scale-up of specialized defensive systems with self-healing capabilities that can predict risk, seal vulnerabilities, and speed up detection.
Consequently, global legislative frameworks like the EU AI Act will compel organizations to treat AI security and governance as a core legal imperative, embedding compliance monitoring and liability tracking into their risk strategies, while simultaneously increasing demand for vendors committed to responsible, trustworthy AI use.
Key Takeaways
AI vs. AI
Specialized cybersecurity alerting and defenses with greater responsibility and the ability to collaborate with other AI and human operators will be essential to accelerate detection and response.
Self-healing defense
There will be a rise in self-healing systems capable of predicting the risk of an issue and taking immediate, automated actions to seal vulnerabilities and trigger alerts.
Regulatory mandates
Global legislative frameworks, such as the EU AI Act, will compel organizations to treat AI security and governance as a core legal imperative, increasing demand for vendors committed to transparent, trustworthy AI use.
Demand for trustworthy AI
We'll see greater demand for vendors who can demonstrate responsible AI use (e.g., relying on data-broker patterns for removal rather than actual, sensitive data) to avoid exposing client information.