⠀⠀Learn more here about emerging threats from AI-enabled threat actors.
⠀⠀Read here about the latest ideas about cyber insurance.
CyberGui.de
2025 Threat Landscape - AI
Artificial Intelligence (AI) is being integrated into cybersecurity to assist in detecting threats, identifying patterns, and processing large data sets, making it easier for analysts to review and respond to potential security anomalies.
Large Language Models (LLMs) have started transforming the cybersecurity landscape, providing advantages in areas such as data shortage, lack of ground truth, and talent scarcity, but also presenting challenges in terms of accuracy and AI security.
The application of AI to cybersecurity is the focus of workshops and conferences, with an emphasis on human-machine teaming and the potential for AI-powered attacks.
While AI offers advantages such as automating threat detection and response, it also presents new challenges, including the risk of mishandling sensitive information and rise of
AI-powered attacks by cybercriminals.
Overall, AI is expected to continue shaping the field of cybersecurity in 2025, offering opportunities for enhanced threat detection and response, but also requiring careful consideration of the associated risks and challenges:
⠀☑️ Growing importance of IoT security
⠀☑️ Expansion of remote work and cybersecurity implications
⠀☑️ The rise of quantum computing & its impact on security
⠀☑️ Evolution of phishing attacks
⠀☑️ Zero Trust Security Models
⠀☑️ Quantum Computing Resistant Cryptography
⠀☑️ Cloud Security Evolution
⠀☑️ 5G Network Security
⠀☑️ Supply Chain Security
⠀☑️ Biometric and Behavioral Authentication
CyberGui.de