Detecting sleeper agents hiding in AI model neurons | Microsoft Security Blog
Key findings from Microsoft Research include: Software abuse and manipulation are familiar threats . For AI models and agents, enterprises need ...
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Key findings from Microsoft Research include: Software abuse and manipulation are familiar threats . For AI models and agents, enterprises need ...
Microsoft“Dark Ditto” workshops: Identifying AI Risks in the Design Process As ... AI writing, AI shopping, AI information organization, etc.. Linjun …
For a small institution like Australia's Bank of Queensland, with a few thousand employees serving 1.4 million customers, identifying overlookedrisks …
As a data security global black belt, I help organizations secure AI solutions. They are concerned about data oversharing, data leaks, compliance, …
Harms like bias, toxicity, and the generation of illegal content are more subjective and harder to measure than traditional securityrisks, requiring …
The growing sophistication of AI systems and Microsoft's increasing investment in AI have made red teaming more important than ever. Learn more …
Key strategies to help manage AI securityrisks. These strategies from the whitepaper illustrate how to manage therisksassociated with AI …
DSPM provides contextual insights, usage analysis, and continuousriskassessments of your data, helping you mitigaterisksand enhance data security …
What AI natives do: AI natives are always trying new processes, even in traditional industries. We spoke to a French croissant shop that uses AI to …
To maximize the advantages of generative AI, we need to strike a balance between addressing the potentialrisksand embracing innovation. In our …
Learn howAI-powered security solutions can help protect user data from rapidly evolvingthreatsin this Microsoft in Business blog …
Microsoft...risksof AI by scaling these timeless visibility and control imperatives. Nation-state actors are after valuable IP and high-level connections …
Cyberattackers move at lightning speed in the cloud, and, due to the advent of generative AI, their attacks are increasing in number, speed, and …
It also introduces new uncertainties andrisksthat require organizations to create a culture of security to stay protected. Now, more than ever …
Forrester predicts that 2024 will see enterprises develop strategies around more AI use cases, from reducingriskto improving customer service and …
Microsoft...AI, but shared their struggle to gain full visibility into their AI programs—creating data security and compliancerisks.258% of organizations …
Intellectual property and copyright infringement. Generative AI poses ariskto intellectual property due to its training methods. These AI tools are …
We'll be participating in a panel discussion titled “Balancing Security and Innovation—Risksand Rewards inAI-Driven Cybersecurity,” where we'll …
In the TAT accelerator, Polaris used this workflow together with open-source intelligence to analyzeriskpatterns within networks of employers …
As this is an attack on the model itself, it does not impute otherriskson the AI system, such as permitting access to another user's data, taking …
While these systems offer numerous benefits, they also introducerisks, such as entrenching systemic biases and reducing accountability. The ACM …
You can continuously identifyrisks, map attack paths, and use built-in security best practices to prevent direct and indirect attacks on AI …
Read about some of the key issues surrounding AI harms and vulnerabilities, and the steps Microsoft is taking to address therisk …
Tuesday, May 7, 2024, 2:30 PM PT to 3:15 PM PT. Gain a deeper understanding of the five toprisksinherent to generative AI and how Zero Trust for AI …
Just as AI enables new opportunities, it also introduces new imperatives to managerisk, whether related specifically to AI usage, app and data …
Microsoft...AI risksand adhere to its upcoming regulations.3In the era of AI, before unlocking the power of data, organizations are looking for integrated …
Discover AI risks: Security teams can discover potential risks associated with AI usage, such as sensitive data leaks and users accessing high-risk …
Probing both security and responsible AI riskssimultaneously. We first learned that while red teaming traditional software or classical AI systems …
In collaboration with OpenAI, today we are publishing research on emergingthreatsin the age of AI, focusing on identified activity associated with …