research
Predicting DDoS attacks: How deep learning could give defenders an early warning
Distributed denial-of-service (DDoS) attacks remain one of the most common and disruptive forms of cybercrime. Defenders have traditionally focused on detecting these attacks …
LLMs can boost cybersecurity decisions, but not for everyone
LLMs are moving fast from experimentation to daily use in cybersecurity. Teams are starting to use them to sort through threat intelligence, guide incident response, and help …
Researchers believe Gamaredon and Turla threat groups are collaborating
ESET Research has discovered evidence of collaboration between the Gamaredon and Turla threat groups. Both groups are linked to Russia’s primary intelligence agency, the FSB, …
How a fake ICS network can reveal real cyberattacks
Researchers have introduced a new way to study and defend against ICS threats. Their project, called ICSLure, is a honeynet built to closely mimic a real industrial …
Your heartbeat could reveal your identity, even in anonymized datasets
A new study has found that electrocardiogram (ECG) signals, often shared publicly for medical research, can be linked back to individuals. Researchers were able to re-identify …
When typing becomes tracking: Study reveals widespread silent keystroke interception
You type your email address into a website form but never hit submit. Hours later, a marketing email shows up in your inbox. According to new research, that is not a …
Cybersecurity research is getting new ethics rules, here’s what you need to know
Top cybersecurity conferences are introducing new rules that require researchers to formally address ethics in their work. Starting with the 2026 USENIX Security Symposium, …
Stealthy attack serves poisoned web pages only to AI agents
AI agents can be tricked into covertly performing malicious actions by websites that are hidden from regular users’ view, JFrog AI architect Shaked Zychlinski has found. …
Can AI agents catch what your SOC misses?
A new research project called NetMoniAI shows how AI agents might reshape network monitoring and security. Developed by a team at Texas Tech University, the framework brings …
KillChainGraph: Researchers test machine learning framework for mapping attacker behavior
A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior …
New framework aims to outsmart malware evasion tricks
Attackers have learned how to trick machine learning malware detectors with small but clever code changes, and researchers say they may finally have an answer. In a new paper, …
ScamAgent shows how AI could power the next wave of scam calls
Scam calls have long been a problem for consumers and enterprises, but a new study suggests they may soon get an upgrade. Instead of a human scammer on the other end of the …
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