Malicious code in responsible-ai (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 05c11d73745aba3675053c5e949e3d5cf48ec050f6c5df589f613c094a8a038e The package responsible-ai was found to contain malicious code. Source: ghsa-malware 9b9159173d856834d97152b44c3f78779ff8f3dd4368b5d113920865417044c3...

Malicious Package

Overview responsible-ai is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

MAL-2026-890 Malicious code in responsible-ai (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 05c11d73745aba3675053c5e949e3d5cf48ec050f6c5df589f613c094a8a038e The package responsible-ai was found to contain malicious code. Source: ghsa-malware 9b9159173d856834d97152b44c3f78779ff8f3dd4368b5d113920865417044c3...

Dow’s 125-year legacy: Innovating with AI to secure a long future

Founded more than 125 years ago, Dow has demonstrated a commitment to leveraging science to make the world a better place. Today, Dow’s ambition to be the most innovative, inclusive, and sustainable materials science company is supported by a global security team dedicated to keeping employees,...

Dow’s 125-year legacy: Innovating with AI to secure a long future

Founded more than 125 years ago, Dow has demonstrated a commitment to leveraging science to make the world a better place. Today, Dow’s ambition to be the most innovative, inclusive, and sustainable materials science company is supported by a global security team dedicated to keeping employees,...

Differential Privacy in Machine Learning: from Symbolic AI to LLMs

Machine learning models should not reveal particular information that is not otherwise accessible. Differential privacy provides a formal framework to mitigate privacy risks by ensuring that the inclusion or exclusion of any single data point does not significantly alter the output of an algorith...

API Security’s Role in Responsible AI Deployment

By now, you will almost certainly be aware of the transformative impact artificial intelligence AI technologies are having on the world. What you may not be aware of, however, is the role Application Programming Interfaces APIs are playing in the AI revolution. The bottom line is that APIs are...

Unlocking the Power of AI in Cybersecurity: Key Takeaways from Our Latest Webinar

Today's SOC teams have to face dramatic challenges that include overwhelming volumes of alerts, blurred perimeter protections, and resource constraints; meanwhile, AI is bursting into SOC workflows as one of the most important elements in addressing these issues more productively and letting team...

AI jailbreaks: What they are and how they can be mitigated

Generative AI systems are made up of multiple components that interact to provide a rich user experience between the human and the AI models. As part of a responsible AI approach, AI models are protected by layers of defense mechanisms to prevent the production of harmful content or being used to...

AI Trust Risk and Security Management: Why Tackle Them Now?

Co-authored by Sabeen Malik and Laura Ellis In the evolving world of artificial intelligence AI, keeping our customers secure and maintaining their trust is our top priority. As AI technologies integrate more deeply into our daily operations and services, they bring a set of unique challenges tha...

New research, tooling, and partnerships for more secure AI and machine learning

Today we’re on the verge of a monumental shift in the technology landscape that will forever change the security community. AI and machine learning may embody the most consequential technology advances of our lifetime, bringing huge opportunities to build, discover, and create a better world. Bra...

Announcing the Microsoft Machine Learning Membership Inference Competition (MICO)

We’re excited to announce the launch of a new competition focusing on the security and privacy of machine learning ML systems. Machine learning has already become a key enabler in many products and services, and this trend is likely to continue. It is therefore critical to understand the security...

Announcing the Microsoft Machine Learning Membership Inference Competition (MICO)

We’re excited to announce the launch of a new competition focusing on the security and privacy of machine learning ML systems. Machine learning has already become a key enabler in many products and services, and this trend is likely to continue. It is therefore critical to understand the security...

AI security risk assessment using Counterfit

Today, we are releasing Counterfit, an automation tool for security testing AI systems as an open-source project. Counterfit helps organizations conduct AI security risk assessments to ensure that the algorithms used in their businesses are robust, reliable, and trustworthy. AI systems are...