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Latest coverage for Machine Learning

Machine learning supports malware detection and threat analysis, but attackers can also exploit biased data, model weaknesses, or poisoned training.

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Machine learning is a way to build software that learns patterns from data and uses them to classify, predict, or make decisions, rather than relying solely on hand-written rules. Models may support malware and phishing detection, user- or entity-behavior analysis, vulnerability prioritization, and automated security triage. Their outputs are probabilistic, so unusual activity can be missed or incorrectly flagged; changing normal behavior can also cause model drift and reduce accuracy.

Security teams must protect both the model and its training data. An attacker may manipulate training examples (data poisoning), craft inputs designed to evade detection (adversarial examples), or extract sensitive information from a model or its data. Controls include trusted data provenance, access restrictions, testing against realistic evasive inputs, monitoring for drift, and human review of high-impact decisions. Where models process personal, proprietary, or security telemetry, collection, retention, and reuse require appropriate privacy and governance controls.

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Showing 9 most recent headlines Filtered view

How to avoid your business being felled by an AI-powered ransomware attack that costs less than a laptop. Passwork KNP Logistics Group, a British transport company from Northamptonshire that’s been around longer than the mass-produced lightbulb, collapsed after a devastating security breach that left more than 700 employees jobless. The 158-year-old firm fell victim to a ransomware attack.…

WeTransfer added the magic words "machine learning" to its ToS and users reacted predictably Analysis WeTransfer this week denied claims it uses files uploaded to its ubiquitous cloud storage service to train AI, and rolled back changes it had introduced to its Terms of Service after they deeply upset users. The topic? Granting licensing permissions for an as-yet-unreleased LLM product.…

The Register 1 year, 7 months ago

Boffins trick AI model into giving up its secrets

All it took to make an Google Edge TPU give up model hyperparameters was specific hardware, a novel attack technique … and several days Computer scientists from North Carolina State University have devised a way to copy AI models running on Google Edge Tensor Processing Units (TPUs), as used in Google Pixel phones and third-party machine learning accelerators.…

The Register 1 year, 9 months ago

Leveraging AI/ML for next-gen SOC environments

Technologies that help SOCs detect, analyze, and respond to emerging threats faster and more accurately Sponsored Post This article discusses some of the challenges traditional SOCs face and how integrating artificial intelligence/machine learning (AI/ML) modules could help solve the challenges faced by security professionals and organizations.…

Former Pentagon deputy CIO Rob Carey tells us guardrails should steer Feds away from bad ML Interview President Biden's October executive order encouraging the safe use of AI included a ton of requirements for federal government agencies that are developing and deploying machine learning technologies.…

High-spec system is crucial to defending against the latest threats Two of the US government's leading security agencies are building a machine learning-based analytics environment to defend against rapidly evolving threats and create more resilient infrastructures for both government entities and private organizations.…