Machine learning is a key driver in the constant evolution of security technologies at Microsoft. Machine learning allows Microsoft 365 to scale next-gen protection capabilities and enhance cloud-based, real-time blocking of new and unknown threats.
Modern social engineering attacks use non-portable executable (PE) files like malicious scripts and macro-laced documents. Every month, Windows Defender AV detects non-PE threats on over 10 million machines. Learn how machine learning drives next-gen protection capabilities and cloud-based, real-time blocking of new and unknown threats: Machine learning vs.
“Always remember: Amateurs hack systems. Professionals hack people.” –Bruce Schneier, CTO, Counterpane Internet Security, Inc. All over the globe, social engineering is a dominant and growing threat to organizational security. Since January 2015, the number of social engineering victims identified by the FBI has increased 270 percent, costing businesses more than $2.3 billion.
The Gmail phishing attack is reportedly so effective that it tricks even technical users, but it may be just the tip of the iceberg.
Recently we have seen an emerging trend among malware distributors – Bitcoin miners being integrated into installers of game repacks.
Tim Burrell and Thomas Garnier of the TwC Security Science team present the sixth and last blog installment describing more /sdl functionality in Visual Studio 2012 RC. Please note that there will be an MSDN webcast discussing the security enhancements to Visual Studio 2012 RC – a wrap-up of sorts – on June 13 at 9:00AM (PST).
Pop security quiz: What’s the most secure way to store a secret? a)     Encrypt it with a strong symmetric cryptographic algorithm such as AES, using a 256-bit key. b)     Encrypt it with a strong asymmetric cryptographic algorithm such as RSA, using a 4096-bit key.
