machine learning - Security Ticks

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

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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

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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

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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

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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

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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

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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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