Cyberattacks against machine learning systems are more common than you think

Machine learning ML is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. Many businesses, eager to capitalize on advancements in ML, have not scrutinized the security of their ML systems. Today, along with...

CISO Spotlight: How diversity of data (and people) defeats today’s cyber threats

This year, we have seen five significant security paradigm shifts in our industry. This includes the acknowledgment that the greater the diversity of our data sets, the better the AI and machine learning outcomes. This diversity gives us an advantage over our cyber adversaries and improves our...

Security Unlocked—A new podcast exploring the people and AI that power Microsoft Security solutions

It’s hard to keep pace with all the changes happening in the world of cybersecurity. Security experts and leaders must continue learning and unlearning to stay ahead of the ever-evolving threat landscape. In fact, many of us are in this field because of our desire to continuously challenge...

Watch Out — Microsoft Warns Android Users About A New Ransomware

Microsoft has warned about a new strain of mobile ransomware that takes advantage of incoming call notifications and Android's Home button to lock the device behind a ransom note. The findings concern a variant of a known Android ransomware family dubbed "MalLocker.B" which has now resurfaced wit...

Sophisticated Android Ransomware Executes with the Home Button

A fresh variant of a sophisticated Android ransomware known as MalLocker locks up mobile devices – surfacing its ransom note when a user hits the Home button. According to research from Microsoft, MalLocker is spreading via malicious website downloads disguised as popular apps, cracked games or...

uriDeep - Unicode Encoding Attacks With Machine Learning

Unicode encoding attacks with machine learning. Tool based on machine learning to create amazing fake domains using confusables. Some domains can deceive IDN policies Chrome & Firefox. I created the best big dictionary of confusables using neural networks. It is used in the tool and it can be...

Vectra and Microsoft join forces to step up detection and response

This blog post is part of the Microsoft Intelligent Security Association MISA guest blog series. Click here to learn more about MISA. Traditional security operations center SOC processes typically involve a wide variety of disparate event notification tools that force overworked analysts to battl...

SecOps Teams Wrestle with Manual Processes, HR Gaps

Only about half of enterprises are satisfied with their ability to detect cybersecurity threats, according to a survey from Forrester Consulting – with respondents painting a picture of major resource and technology gaps hamstringing their efforts to block cyberattacks. According to the...

Security Bulletin: vulnerabilities in Nimbus JOSE+JWT affect IBM Watson Machine Learning Accelerator 1.2.1

Summary Vulnerabilities existing in the Nimbus JOSE+JWT version used by IBM Watson Machine Learning Accelerator 1.2.1. An interim fix that provides instructions on upgrading the Nimbus JOSE+JWT package to version 7.9 which resolves these vulnerabilities, are available on IBM Fix Central...

VMware Carbon Black First to Block Hidden Malicious Commands in Obfuscated Scripts

For a long time now, our Threat Analysts have flagged the growing threat of script-based attacks, especially from Microsoft PowerShell and Windows Management Interface script commands, and their ability to escape notice in many antivirus solutions. Increasingly, these types of attacks have become...

Microsoft Security: How to cultivate a diverse cybersecurity team

Boost creative problem solving with a diverse cybersecurity team In cybersecurity, whether we are talking about cryptocurrency mining, supply chain attacks, attacks against IoT, or COVID-19-related phishing lures, we know that gaining the advantage over our adversaries requires greater diversity ...

Stopping Active Directory attacks and other post-exploitation behavior with AMSI and machine learning

When attackers successfully breach a target network, their typical next step is to perform reconnaissance of the network, elevate their privileges, and move laterally to reach specific machines or spread as widely as possible. For these activities, attackers often probe the affected network’s...

Dopple-Ganging Up on Facial Recognition

ARCHIVED STORY Dopple-ganging up on Facial Recognition Systems By Steve Povolny · August 25, 2020 Co-authored with Jesse Chick, OSU Senior and Former McAfee Intern, Primary Researcher. Special thanks to Dr. Catherine Huang, McAfee Advanced Analytics Team Special thanks to Kyle Baldes, Former McAf...

Repurposing Neural Networks to Generate Synthetic Media for Information Operations

FireEye’s Data Science and Information Operations Analysis teams released this blog post to coincide with our Black Hat USA 2020 Briefing, which details how open source, pre-trained neural networks can be leveraged to generate synthetic media for malicious purposes. To summarize our presentation,...

Security Bulletin: Watson Machine Learning Service is impacted by security vulnerabilities in OpenJDK 11

Summary Security vulnerabilities in OpenJDK impacts Watson Machine Learning Service. These vulnerabilities are now addressed. Vulnerability Details CVEID: CVE-2019-2964 DESCRIPTION: An unspecified vulnerability in Java SE related to the Concurrency component could allow an unauthenticated attacke...

Learn Machine Learning and AI – Online Training Program @ 93% OFF

Within the next decade, artificial intelligence is likely to play a significant role in our everyday lives. Machine learning already powers image recognition, self-driving cars, and Netflix recommendations. For any aspiring developer, learning how to code smart software is a good move. These skil...

Learn Machine Learning and AI – Online Training Program @ 93% OFF

Within the next decade, artificial intelligence is likely to play a significant role in our everyday lives. Machine learning already powers image recognition, self-driving cars, and Netflix recommendations. For any aspiring developer, learning how to code smart software is a good move. These skil...

Afternoon Cyber Tea: Peak, Plateau, or Plummet? Cyber security trends that are here to stay and how to detect and recover from ransomware attacks

The rapidity of change in the cyberthreat landscape can be daunting for today’s cyber defense teams. Just as they perfect the ability to block one attack method, adversaries change their approach. Tools like artificial intelligence and machine learning allow us to pivot quickly, however, knowing...

Seeing the big picture: Deep learning-based fusion of behavior signals for threat detection

The application of deep learning and other machine learning methods to threat detection on endpoints, email and docs, apps, and identities drives a significant piece of the coordinated defense delivered by Microsoft Threat Protection. Within each domain as well as across domains, machine learning...

Adversarial Machine Learning and the CFAA

I just co-authored a paper on the legal risks of doing machine learning research, given the current state of the Computer Fraud and Abuse Act: Abstract: Adversarial Machine Learning is booming with ML researchers increasingly targeting commercial ML systems such as those used in Facebook, Tesla,...