Microsoft’s AI Red Team Has Already Made the Case for Itself

Since 2018, a dedicated team within Microsoft has attacked machine learning systems to make them safer. But with the public release of new generative AI tools, the field is already evolving...

Microsoft AI Red Team building future of safer AI

An essential part of shipping software securely is red teaming. It broadly refers to the practice of emulating real-world adversaries and their tools, tactics, and procedures to identify risks, uncover blind spots, validate assumptions, and improve the overall security posture of systems. Microso...

AI is the Solution, Not the Problem

AI is the Solution, Not the Problem By Trellix · August 07, 2023 This story was also written by Oded Margalit. AI Artificial Intelligence / ML Machine Learning has recently been painted as the master evil. In this blog I would like to suggest a different view, where we can use it to make a better...

AI is the Solution, Not the Problem

AI is the Solution, Not the Problem By Trellix · August 07, 2023 This story was also written by Oded Margalit. AI Artificial Intelligence / ML Machine Learning has recently been painted as the master evil. In this blog I would like to suggest a different view, where we can use it to make a better...

The vulnerability of the validate_path_is_safe() function in the machine learning lifecycle management platform allows a attacker to disclose sensitive information or execute arbitrary files.

The vulnerability of the validatepathissafe function in the machine learning model lifecycle management platform exists due to an incorrect restriction on the path name to the restricted-access directory. Exploiting this vulnerability could allow a malicious actor to disclose sensitive informatio...

Unveiling the Unseen: Identifying Data Exfiltration with Machine Learning

Why Data Exfiltration Detection is Paramount? The world is witnessing an exponential rise in ransomware and data theft employed to extort companies. At the same time, the industry faces numerous critical vulnerabilities in database software and company websites. This evolution paints a dire pictu...

Unveiling the Unseen: Identifying Data Exfiltration with Machine Learning

Why Data Exfiltration Detection is Paramount? The world is witnessing an exponential rise in ransomware and data theft employed to extort companies. At the same time, the industry faces numerous critical vulnerabilities in database software and company websites. This evolution paints a dire pictu...

HackerOne: Internal machine learning API endpoint for CWE classification is vulnerable to path traversal

Vulnerability description not provided...

Microsoft Azure Machine Learning Service DSIMountAgent Missing Authentication Information Disclosure Vulnerability

This vulnerability allows local attackers to disclose sensitive information on Microsoft Azure. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the DSIMountAgent service, which...

Forrester names Microsoft a Leader in the 2023 Enterprise Email Security Wave

In today’s rapidly evolving connected workplace, where hybrid and remote work are increasingly the norm, workplace productivity and communications tools like email and chat applications are more important than ever. However, cyberthreats continue to evolve with increasing capabilities and...

CVE-2023-34239 Unfiltered paths in gradio

Gradio is an open-source Python library that is used to build machine learning and data science. Due to a lack of path filtering Gradio does not properly restrict file access to users. Additionally Gradio does not properly restrict the what URLs are proxied. These issues have been addressed in...

CVE-2023-34239 Unfiltered paths in gradio

Gradio is an open-source Python library that is used to build machine learning and data science. Due to a lack of path filtering Gradio does not properly restrict file access to users. Additionally Gradio does not properly restrict the what URLs are proxied. These issues have been addressed in...

How Coffee County Schools safeguards 7500 students and 1200 staff

We're excited to announce that our much-anticipated 4th edition of the Byte Into Security webinar series is now available on-demand. Originally aired on May 31st, this session is a goldmine for those facing the unique challenges of K-12 cybersecurity. The webinar is free, and you can watch it rig...

How AI Protects (and Attacks) Your Inbox

Criminals may use artificial intelligence to scam you. Companies, like Google, are looking for ways AI and machine learning can help prevent phishing...

Bitdefender Introduces GravityZone Security for Android, iOS, and Chromebook

By Habiba Rashid According to Bitdefender, GravityZone Security for Mobile is a cutting-edge solution that leverages powerful antimalware technologies driven by real-time threat intelligence and machine learning. This is a post from HackRead.com Read the original post: Bitdefender Introduces...

Mlflow 安全漏洞

Mlflow is an open source platform for machine learning lifecycles. A security vulnerability exists in Mlflow versions prior to 2.3.1 that stems from being able to read local files...

Microsoft Security highlights from RSA Conference 2023

The RSA Conference RSAC gave us an incredible opportunity to meet with security professionals from around the world, learn about exciting advances in the world of cybersecurity, and share our own security innovations. Defenders everywhere serve an important mission of protecting our world, and RS...

How to keep your ChatGPT conversations out of its training data

Last week, OpenAI announced it had given ChatGPT users the option to turn off their chat history. ChatGPT is a "generative AI", a machine learning algorithm that can understand language and generate written responses. Users can interact with it by asking questions, and the conversations users hav...

What does ChatGPT know about phishing?

Can ChatGPT detect phishing links? Hearing all the buzz about the amazing applications of ChatGPT and other language models, our team could not help but ask this question. We work on applying machine learning technologies to cybersecurity tasks, specifically models that analyze websites to detect...

Security Risks of AI

Stanford and Georgetown have a new report on the security risks of AI--particularly adversarial machine learning--based on a workshop they held on the topic. Jim Dempsey, one of the workshop organizers, wrote a blog post on the report: As a first step, our report recommends the inclusion of AI...