machine learning

X Square Robot open sources its robot-free data collection framework

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X Square Robot open sources its robot-free data collection framework 2026-06-11 at 08:43 By Sinisa Markovic Companies building robots for physical work spend large amounts of time and money operating machines by hand to gather training examples. Each session with a physical robot produces a small number of demonstrations per day, which slows the growth […]

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6G network design puts AI at the center of spectrum, routing, and fault management

Artificial Intelligence, ETSI, machine learning, networking, News, research, wireless /

6G network design puts AI at the center of spectrum, routing, and fault management 2026-04-08 at 08:13 By Mirko Zorz Wireless network operators are preparing for a generation of infrastructure where AI is built into the architecture from the start. Sixth-generation networks, expected to reach commercial development over the coming decade, are being designed with

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Malware detectors trained on one dataset often stumble on another

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Malware detectors trained on one dataset often stumble on another 2026-04-01 at 07:05 By Anamarija Pogorelec Machine learning models built to catch malware on Windows systems are typically evaluated on data that closely resembles their training set. In practice, the malware arriving on enterprise endpoints looks different, comes from different sources, and in many cases

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AI got it wrong with high confidence. Now what?

Artificial Intelligence, Don't miss, Features, Hot stuff, LLMs, machine learning, News, opinion, SPRYFOX, strategy /

AI got it wrong with high confidence. Now what? 2026-03-19 at 09:02 By Mirko Zorz In this Help Net Security interview, Christian Debes, Head of Data Analytics & AI at SPRYFOX, talks about the growing gap between what AI models do and what their operators can explain. He argues this gap is already a liability,

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Security teams are paying more attention to the energy cost of detection

Artificial Intelligence, CISO, cybersecurity, Don't miss, energy sector, machine learning, News, research, security operations /

Security teams are paying more attention to the energy cost of detection 2026-01-09 at 08:02 By Anamarija Pogorelec Security teams spend a lot of time explaining why detection systems need more compute. Cloud bills rise, models retrain more often, and new analytics pipelines get added to existing stacks. Those conversations usually stay focused on coverage

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Banks built rules for yesterday’s crime and RegTech is trying to fix that

Compliance, cybercrime, financial industry, machine learning, News, regulation, research /

Banks built rules for yesterday’s crime and RegTech is trying to fix that 2025-12-17 at 08:32 By Sinisa Markovic Criminals are moving money across borders faster, and financial institutions are feeling the squeeze. Compliance teams feel this strain every day as they try to keep up with schemes that shift through accounts, intermediaries, and digital

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How researchers are teaching AI agents to ask for permission the right way

Artificial Intelligence, cybersecurity, data security, Don't miss, Features, Hot stuff, Iterate.ai, machine learning, News, research, USA /

How researchers are teaching AI agents to ask for permission the right way 2025-12-15 at 09:06 By Mirko Zorz People are starting to hand more decisions to AI agents, from booking trips to sorting digital files. The idea sounds simple. Tell the agent what you want, then let it work through the steps. The hard

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New observational auditing framework takes aim at machine learning privacy leaks

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New observational auditing framework takes aim at machine learning privacy leaks 2025-11-28 at 08:34 By Sinisa Markovic Machine learning (ML) privacy concerns continue to surface, as audits show that models can reveal parts of the labels (the user’s choice, expressed preference, or the result of an action) used during training. A new research paper explores

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The privacy panic around machine learning is overblown

cybersecurity, data collection, Don't miss, EU, machine learning, News, Privacy, regulation, research /

The privacy panic around machine learning is overblown 2025-11-18 at 08:43 By Sinisa Markovic We often hear warnings about how machine learning (ML) models may expose sensitive information tied to their training data. The concern is understandable. If a model was trained on personal records, it may seem reasonable to assume that releasing it could

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AI can flag the risk, but only humans can close the loop

Artificial Intelligence, Compliance, cybersecurity, digital forensics, Don't miss, Endpoint Security, EY, Features, machine learning, monitoring, News, third party compromise /

AI can flag the risk, but only humans can close the loop 2025-11-05 at 09:07 By Mirko Zorz In this Help Net Security interview, Dilek Çilingir, Global Forensic & Integrity Services Leader at EY, discusses how AI is transforming third-party assessments and due diligence. She explains how machine learning and behavioral analytics help organizations detect

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Researchers develop AI system to detect scam websites in search results

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Researchers develop AI system to detect scam websites in search results 2025-10-09 at 13:07 By Sinisa Markovic Scam websites tied to online shopping, pet sales, and other e-commerce schemes continue to cause millions in losses each year. Security tools can accurately detect fraudulent sites once they are found, but identifying new ones remains difficult. To

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When loading a model means loading an attacker

Artificial Intelligence, CISO, cybersecurity, Don't miss, machine learning, News, research, strategy, tips /

When loading a model means loading an attacker 2025-10-03 at 10:15 By Sinisa Markovic You probably think twice before downloading a random app or opening an unfamiliar email attachment. But how often do you stop to consider what happens when your team downloads and loads a machine learning model? A recent study shows why you

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The energy sector is ground zero for global cyber activity

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The energy sector is ground zero for global cyber activity 2025-10-02 at 08:27 By Sinisa Markovic A new study from the Karlsruhe Institute of Technology shows how geopolitical tensions shape cyberattacks on power grids, fuel systems, and other critical infrastructure. How the research was done Researchers reviewed major cyber threat databases including MITRE ATT&CK Groups,

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CISOs brace for a new kind of AI chaos

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CISOs brace for a new kind of AI chaos 2025-09-12 at 08:47 By Anamarija Pogorelec AI is being added to business processes faster than it is being secured, creating a wide gap that attackers are already exploiting, according to the SANS Institute. The scale of the problem Attackers are using AI to work at speeds

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KillChainGraph: Researchers test machine learning framework for mapping attacker behavior

CISO, cyber resilience, cybersecurity, Don't miss, Features, framework, Hot stuff, machine learning, MITRE ATT&CK, News, OWASP, reconnaissance, research, security operations, SOC /

KillChainGraph: Researchers test machine learning framework for mapping attacker behavior 2025-09-01 at 09:21 By Mirko Zorz 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 across the stages of the Cyber Kill Chain. The work explores how machine learning models

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New framework aims to outsmart malware evasion tricks

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New framework aims to outsmart malware evasion tricks 2025-08-29 at 10:03 By Mirko Zorz 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, academics from Inria and the CISPA Helmholtz Center for Information Security describe

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Review: Adversarial AI Attacks, Mitigations, and Defense Strategies

Artificial Intelligence, books, Don't miss, generative AI, Hot stuff, how-to, LLMs, machine learning, News, Review, Reviews, skill development, strategy, tips /

Review: Adversarial AI Attacks, Mitigations, and Defense Strategies 2025-08-25 at 07:50 By Mirko Zorz Adversarial AI Attacks, Mitigations, and Defense Strategies shows how AI systems can be attacked and how defenders can prepare. It’s essentially a walkthrough of offensive and defensive approaches to AI security. About the author John Sotiropoulos is the Head Of AI

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The 6 challenges your business will face in implementing MLSecOps

Artificial Intelligence, cybersecurity, Don't miss, Expert analysis, Expert corner, Hot stuff, machine learning, News, OpenSSF, opinion, software /

The 6 challenges your business will face in implementing MLSecOps 2025-08-20 at 09:04 By Help Net Security Organizations that don’t adapt their security programs as they implement AI run the risk of being exposed to a variety of threats, both old and emerging ones. MLSecOps addresses this critical gap in security perimeters by combining AI

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Machine unlearning gets a practical privacy upgrade

cybersecurity, Don't miss, EU, Europe, Features, Hot stuff, machine learning, News, Privacy, research /

Machine unlearning gets a practical privacy upgrade 2025-07-17 at 09:08 By Mirko Zorz Machine learning models are everywhere now, from chatbots to credit scoring tools, and they carry traces of the data they were trained on. When someone asks to have their personal data erased under laws like the GDPR, their data also needs to

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Behind the code: How developers work in 2025

Artificial Intelligence, containers, Docker, LLMs, machine learning, microservices, News, programming, report, survey /

Behind the code: How developers work in 2025 2025-07-11 at 13:01 By Anamarija Pogorelec How are developers working in 2025? Docker surveyed over 4,500 people to find out, and the answers are a mix of progress and ongoing pain points. AI is gaining ground but still unevenly used. Security is now baked into everyday workflows.

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