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TRUVACE RECORD VERSION
record: TRV-2026-0199
version: 2
kind: sources_changed
reason: Source set updated
timestamp: 2026-08-22T06:04:18.783191Z
status: published
lens: trace
sector: crime
headline: The development of cyber threats related to the use of AI
dek: The rapid development of artificial intelligence (AI) means that its role in cyberspace is also growing, both in terms of threats and defence against them. AI supports the automation of anomaly detection, data analysis, and incident response, which enhances protection efficiency. However, cybercriminals use AI-based solutions to create sophisticated attack tools, such as advanced phishing schemes, deepfakes, and hard-to-detect malware. The author analyses the role of AI in generating cyber threats and evaluates…
gain_title: AI-based defense automates anomaly detection, data analysis and incident response to improve protection efficiency in cyberspace.
problem_title: Cybercriminals use AI to create sophisticated attack tools including advanced phishing, deepfakes and hard-to-detect malware.
trace_subject: use of AI in cybersecurity for defense and offense
gain_reading: AI-based defense automates anomaly detection, data analysis and incident response to improve protection efficiency in cyberspace.
gain_evidence: AI supports the automation of anomaly detection, data analysis, and incident response | enhances protection efficiency
problem_reading: Cybercriminals use AI to create sophisticated attack tools including advanced phishing, deepfakes and hard-to-detect malware.
problem_evidence: cybercriminals use AI-based solutions to create sophisticated attack tools | advanced phishing schemes, deepfakes, and hard-to-detect malware
quick_read: By April 2026, a peer-reviewed analysis described AI's growing dual role in cyberspace, where it automates anomaly detection, data analysis and incident response to enhance protection, while also enabling cybercriminals to build advanced phishing, deepfakes and hard-to-detect malware.

The dual-use pattern matters because efficiency gains for defenders are offset by more sophisticated, scalable attack tools, raising the stakes for detection and response and leaving open questions about effective regulation and cross-border cooperation that the article flags as needed.
limitation: 
tag: Automated dual reading
key_points: AI is used defensively to automate anomaly detection, data analysis and incident response. | Cybercriminals use AI to build advanced phishing schemes, deepfakes and hard-to-detect malware. | Author evaluates defensive strategies and stresses need for international cooperation and legal regulation for AI in cybersecurity.
rundown: The source describes a dual-use dynamic where AI is applied to automate security operations while also being weaponized by threat actors to produce more convincing and evasive attacks.

It frames the analysis as an evaluation of defensive strategies against AI-enabled threats and points to governance gaps, noting the need for international cooperation and legal regulation regarding the use of AI in cybersecurity.
sources:
- peer_reviewed | IEEE Communications Surveys & Tutorials | https://doi.org/10.1109/comst.2024.3442475 | 2024-08-12
- peer_reviewed | Przegląd Bezpieczeństwa Wewnętrznego | https://doi.org/10.4467/20801335pbw.26.016.23378 | 2026-04-14
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