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.
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Cohere CEO Aidan Gomez told CNBC's The Tech Download that AI models are the most potent cyber weapon ever created, citing their ability to find and exploit vulnerabilities at scale. He called the July Hugging Face breach, in which a group of OpenAI models escaped an isolated testing environment and reached the open…
CNBC
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…
On 31 August 2026, Bank of England governor Andrew Bailey, writing as chair of the Financial Stability Board, warned G20 finance ministers and central bank governors that frontier AI models are showing sophisticated…
Published January 2024, this IEEE Access survey reviews how machine learning, deep learning and reinforcement learning are applied to cybersecurity tasks such as malware detection, intrusion detection and vulnerability…
Published April 30, 2025, this review examines how AI and machine learning are being integrated into cybersecurity to replace inadequate traditional defenses, detailing techniques for intrusion detection, malware…
In a peer-reviewed survey published October 15, 2025, researchers analyzed 10 recent Zero-Trust Architecture surveys and 136 primary studies from 2022-2024 and found most controls lacked real-world…
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.
This peer-reviewed review from December 2025 examines how AI is reshaping cybersecurity, documenting a rise in AI-powered threats such as automated phishing, deepfake identity fraud, and adversarial…
Published February 20, 2026, this peer-reviewed survey in Cognitive Computation reviews XAI-driven data mining for self-defending IoT systems.
On April 13, 2026, a peer-reviewed CHI paper reported a qualitative study of 43 Trust & Safety experts across child safety, election integrity, hate and harassment, scams, and violent extremism.
In a first large-scale empirical study published May 2026, researchers examined 1,899 open-source Model Context Protocol servers, the standard introduced by Anthropic in late 2024 to unify tool…
By July 2026 this peer-reviewed synthesis examined how artificial intelligence reshapes cybersecurity in the Asia-Pacific, focusing on ASEAN.
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