Why Adversarial AI is the Cyber ​​Threat No One Sees Coming

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Security leaders' intentions are not corresponding to up with their Actions has secure AI And MLOps according to has A recent report.

A overwhelming majority of HE leaders, 97%, say that to secure AI And backup systems East essential, Again only 61% are confident they go get THE funding they will need. Despite THE majority of HE leaders interviewed, 77%, saying they had experimented a few form of AI-related infringe (not specifically has models), only 30% to have deployed A manual defense For contradictory attacks In their existing AI development, including MLOps pipes.

Just 14% are planning And essay For such attacks. Amazon the Web Services defines MLOps as "A together of practices that automate And simplify machine learning (ML) workflow And deployments. »

HE leaders are growth more addicted on AI models, manufacturing them A attractive attack surface For A wide variety of contradictory AI attacks.

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On average, HE leaders' companies to have 1,689 models In production, And 98% of HE leaders consider a few of their AI models crucial has their success. Eighty three percent are seeing frequent to use through all teams In their organizations. "THE industry East functioning hard has accelerate AI adoption without having THE property security measures In place," to write THE reports analysts.

HiddenLayer AI Threat Landscape Report provides A critical analysis of THE risks confronted by AI-based systems And THE advances be do In to secure AI And MLOps pipelines.

contradictory AI aim East has deliberately deceive AI And machine learning (ML) systems SO they are no value For THE to use case they are be designed For. contradictory AI refers to has "THE to use of artificial intelligence techniques has manipulate Or deceive AI systems. It is as A cunning chess player WHO Exploits THE vulnerabilities of It is opponent. These clever opponents can bypasses traditional cyber defense systems, using sophisticated algorithms And techniques has evade detection And launch target attacks. »

HiddenLayer report defines three wide Classes of contradictory AI defined below:

contradictory machine learning attacks. Look has exploit vulnerabilities In algorithms, THE goals of This type of attack range Since modification A wider AI application Or systems’ behavior, escape detection of AI-based detection And answer systems, Or flight THE underlying technology. nation state practical spying For financial And policy earn, look has reverse engineering models has earn model data And Also has militarize THE model For ...