Help Net Security newsletters: Daily and weekly news, cybersecurity jobs, open source projects, breaking news – subscribe here!

Please turn on your JavaScript for this page to function normally.
AI agent
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. …

AI search
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 …

mapping attacker behavior
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 …

malware detection
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
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 …

AI Security Map
AI Security Map: Linking AI vulnerabilities to real-world impact

A single prompt injection in a customer-facing chatbot can leak sensitive data, damage trust, and draw regulatory scrutiny in hours. The technical breach is only the first …

Integrating LLMs into IoT networks
LLMs at the edge: Rethinking how IoT devices talk and act

Anyone who has set up a smart home knows the routine: one app to dim the lights, another to adjust the thermostat, and a voice assistant that only understands exact phrasing. …

insider threat
Why a new AI tool could change how we test insider threat defenses

Insider threats are among the hardest attacks to detect because they come from people who already have legitimate access. Security teams know the risk well, but they often …

LLMs IR
Using lightweight LLMs to cut incident response times and reduce hallucinations

Researchers from the University of Melbourne and Imperial College London have developed a method for using LLMs to improve incident response planning with a focus on reducing …

VPN
Android VPN apps used by millions are covertly connected AND insecure

Three families of Android VPN apps, with a combined 700 million-plus Google Play downloads, are secretly linked, according to a group of researchers from Arizona State …

digital twin
What happens when penetration testing goes virtual and gets an AI coach

Cybersecurity training often struggles to match the complexity of threats. A new approach combining digital twins and LLMs aims to close that gap. Researchers from the …

people
New NIST guide explains how to detect morphed images

Face morphing software can blend two people’s photos into one image, making it possible for someone to fool identity checks at buildings, airports, borders, and other secure …

Don't miss

Cybersecurity news
Daily newsletter sent Monday-Friday
Weekly newsletter sent on Mondays
Editor's choice newsletter sent twice a month
Periodical newsletter released when there is breaking news
Weekly newsletter listing new cybersecurity job positions
Monthly newsletter focusing on open source cybersecurity tools