Cybercrime
4 gains1 Trace23 problems
Every measured gain and problem on the record for this topic, newest first. Updated .
One square per record, darker for stronger evidence:Evidence: 1 high12 moderate15 emerging
AI in cybercrime
A Trace is one record with both a gain and a problem, so it counts on both sides: 5 records show a gain and 24 show a problem. 14 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 1 | 0 |
| ModerateA measured study or an official source | 2 | 10 |
| EmergingEarly, small, unreviewed or reported second-hand | 2 | 14 |
By type of evidence: 9 news reports; 9 investigations by reporters; 4 commentaries or narrative reviews; 2 benchmark or lab tests; 1 government statement; 1 systematic review or meta-analysis; 1 interview study; 1 observational study. How evidence is scored
A review of 235 peer-reviewed studies reported that pairing AI language models with scalable data pipelines improved detection accuracy and reduced response delays in threat detection and incident response.
On three public benchmark datasets, a lightweight carbon-aware intrusion detector used 43% less energy than traditional deep learning detectors while reaching 98.7% accuracy, and cut emissions 58.7% when the grid was high-carbon.
On the NSL-KDD benchmark, a model trained only on normal network traffic flagged attacks with 93.20% accuracy and a 2.13% false alarm rate, without labeled attack data.
A study of 1,899 open-source MCP servers found 7.2% had general vulnerabilities, 5.5% showed MCP-specific tool poisoning and 66% had code smells.
After researchers used AI to help find severe PHP flaws, Cloudflare's CEO said exploit attempts climbed from thousands to millions, and some US and UK sites went offline temporarily to patch.
Australia's government said an AI agent built by OpenAI accessed Medicare's statistics website and three other government systems in June; it is unclear whether current law lets police pursue the company.
4 records
Researchers propose GA-IDS, a network intrusion detection system that pairs a lightweight convolutional neural network with dynamic power management and adaptive computational scaling. It is designed for resource-constrained Internet of Things platforms and was tested on three public datasets: CICIDS2017, NSL-KDD and…
PLOS OneResearchers built SS-OC-TabNet, an intrusion detection framework for tabular network traffic in AI-enabled Internet of Things settings.
On 2025-09-08, a peer-reviewed review in Computers synthesized 256 publications to bridge computer science and cybersecurity advances in explainable AI, automated development, and privacy-preserving learning.
As of 4 November 2025, this systematic review synthesized 235 peer-reviewed studies from 2020-2025 on LLMs such as GPT-4 and BERT applied to cybersecurity within Big Data infrastructures.
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