machine learning

KillChainGraph: Researchers test machine learning framework for mapping attacker behavior

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

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

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

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

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

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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How agentic AI and non-human identities are transforming cybersecurity

How agentic AI and non-human identities are transforming cybersecurity 2025-05-08 at 09:03 By Help Net Security Within the average enterprise, non-human identities (NHIs) now outnumber employees, contractors, and customers by anything between 10-to-1 and 92-to-1. Add to this the fragmentation of human identity management resulting from authorizing a single person’s access to multiple on-premises, cloud

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Generative AI Is reshaping financial fraud. Can security keep up?

Generative AI Is reshaping financial fraud. Can security keep up? 2025-04-01 at 07:35 By Mirko Zorz In this Help Net Security interview, Yinglian Xie, CEO at DataVisor, explains how evolving fraud tactics require adaptive, AI-driven prevention strategies. With fraudsters using generative AI to launch sophisticated attacks, financial institutions must adopt adaptive AI solutions to stay

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A CISO’s guide to securing AI models

A CISO’s guide to securing AI models 2025-03-26 at 08:05 By Help Net Security In AI applications, machine learning (ML) models are the core decision-making engines that drive predictions, recommendations, and autonomous actions. Unlike traditional IT applications, which rely on predefined rules and static algorithms, ML models are dynamic—they develop their own internal patterns and

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Malicious ML models found on Hugging Face Hub

Malicious ML models found on Hugging Face Hub 2025-02-10 at 15:52 By Zeljka Zorz Researchers have spotted two machine learning (ML) models containing malicious code on Hugging Face Hub, the popular online repository for datasets and pre-trained models. Once one of them is downloaded and executed on the developer’s machine, the malicious payload checks if

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How AI and ML are transforming digital banking security

How AI and ML are transforming digital banking security 2025-01-14 at 07:04 By Mirko Zorz In this Help Net Security interview, Nuno Martins da Silveira Teodoro, VP of Group Cybersecurity at Solaris, discusses the latest advancements in digital banking security. He talks about how AI and ML are reshaping fraud detection, the growing trend of

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Why an “all gas, no brakes” approach for AI use won’t work

Why an “all gas, no brakes” approach for AI use won’t work 2025-01-08 at 07:33 By Help Net Security Machine learning and generative AI are changing the way knowledge workers do their jobs. Every company is eager to be “an AI company,” but AI can often seem like a black box, and the fear of

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Building secure AI with MLSecOps

Building secure AI with MLSecOps 2024-10-21 at 07:31 By Mirko Zorz In this Help Net Security interview, Ian Swanson, CEO of Protect AI, discusses the concept of “secure AI by design.” By adopting frameworks like Machine Learning Security Operations (MLSecOps) and focusing on transparency, organizations can build resilient AI systems that are both safe and

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Best practices for implementing the Principle of Least Privilege

Best practices for implementing the Principle of Least Privilege 2024-09-09 at 07:02 By Mirko Zorz In this Help Net Security interview, Umaimah Khan, CEO of Opal Security, shares her insights on implementing the Principle of Least Privilege (PoLP). She discusses best practices for effective integration, benefits for operational efficiency and audit readiness, and how to

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Laying the groundwork for zero trust in the military

Laying the groundwork for zero trust in the military 2024-07-18 at 07:01 By Mirko Zorz In this Help Net Security interview, Curtis Arnold, VP and Chief Scientist at Core4ce, discusses the starting points for military training in zero trust principles, emphasizing foundational technologies and a unified taxonomy. Arnold provides insights into the DoD’s Zero Trust

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Monocle: Open-source LLM for binary analysis search

Monocle: Open-source LLM for binary analysis search 2024-07-08 at 06:31 By Help Net Security Monocle is open-source tooling backed by a large language model (LLM) for performing natural language searches against compiled target binaries. Monocle can be provided with a binary and search criteria (authentication code, vulnerable code, password strings, etc.), and it will decompile

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The rise of SaaS security teams

The rise of SaaS security teams 2024-06-17 at 07:31 By Mirko Zorz In this Help Net Security interview, Hillary Baron, Senior Technical Director for Research at CSA, highlights that the recent surge in organizations establishing dedicated SaaS security teams is driven by significant data breaches involving widely used platforms. What motivated the recent surge in

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Is mysterious ΑΙ ‘gpt2-chatbot’ OpenAI’s next upgrade in disguise?

Is mysterious ΑΙ ‘gpt2-chatbot’ OpenAI’s next upgrade in disguise? 2024-04-30 at 18:01 By Cointelegraph by Savannah Fortis A powerful new AI chatbot called “gpt2-chatbot” appears on LMSYS Chat and has sparked speculation whether it could be OpenAI’s unreleased GPT-5 or a supercharged GPT-2. This article is an excerpt from Cointelegraph.com News View Original Source React

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Applying DevSecOps principles to machine learning workloads

Applying DevSecOps principles to machine learning workloads 2024-04-25 at 07:33 By Help Net Security Protecting data and other enterprise assets is an increasingly challenging task, and one that touches nearly every corner of an organization. As the complexity of digital systems grows, the challenges mount. One method that helps reign in the chaos is bringing

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Overcoming GenAI challenges in healthcare cybersecurity

Overcoming GenAI challenges in healthcare cybersecurity 2024-04-25 at 07:01 By Mirko Zorz In this Help Net Security interview, Assaf Mischari, Managing Partner, Team8 Health, discusses the risks associated with GenAI healthcare innovations and their impact on patient privacy. What are the key cybersecurity challenges in healthcare in the context of GenAI, and how can they

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