#malware-detection

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Privacy technologies
fromTheregister
1 day ago

Microsoft's AI agent only caught 26% of malware in a test

Microsoft's Project Ire autonomously detects malware, aiding security analysts in identifying threats without human intervention.
Artificial intelligence
fromThe Hacker News
1 day ago

Microsoft Launches Project Ire to Autonomously Classify Malware Using AI Tools

Microsoft has announced Project Ire, an autonomous AI system for automated malware classification, capable of fully reverse engineering software files.
fromTheregister
2 days ago

Is this app legit or malware? Not all users are stupid

Users are effective at identifying malware when suspicious but struggle with obscure legitimate software.
fromExchangewire
2 months ago

GeoEdge Provides Malware Protection Through Amazon Publishers Services Connections Marketplace

GeoEdge enhances ad security for publishers through seamless integration in APS Connections Marketplace.
Marketing tech
fromExchangewire
3 months ago

TradPlus Partners with GeoEdge to Elevate Ad Quality and Safeguard the User Experience

TradPlus partners with GeoEdge to enhance ad quality and safety in mobile advertising.
Marketing tech
fromExchangewire
4 months ago

AlgoriX & GeoEdge Expand Partnership to Secure the Ad Supply Chain Against Malvertising

GeoEdge strengthens ad protection for AlgoriX, ensuring safer online experiences and enhancing partnership opportunities.
Apple
fromComputerworld
4 months ago

The complete IT toolbox you need to manage Macs in the enterprise

Numerous tools exist for securing devices and data, offering vital protections in today's technology landscape.
#machine-learning
fromHackernoon
5 months ago
Data science

Mal-Where? How We Boosted Malware Detection to XG-ceptional Levels | HackerNoon

The malware detection system reached an accuracy of 99.99% on binary classification.
Information security
fromHackernoon
5 years ago

Hide and Seek in Memory: Outsmarting Sneaky Malware with Data Magic | HackerNoon

Obfuscation techniques in malware make detection challenging, necessitating new detection systems.
The proposed method uses machine learning on memory dumps to improve malware detection efficacy.
Information security
fromHackernoon
5 years ago

Hide and Seek in Memory: Outsmarting Sneaky Malware with Data Magic | HackerNoon

Obfuscation techniques in malware make detection challenging, necessitating new detection systems.
The proposed method uses machine learning on memory dumps to improve malware detection efficacy.
more#machine-learning
fromHackernoon
5 months ago

Dumping Data & Dodging Danger: A Quirky Quest Against Obfuscated Malware | HackerNoon

The obfuscated malware dataset contains 58,596 records used to evaluate malware detection methods, comprising 50% benign and 50% malicious samples from various malware types.
Data science
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