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Decoding AI Vulnerabilities: NIST’s Deep Dive into Adversarial Machine Learning

Penetration Testing

In an age where artificial intelligence (AI) seamlessly integrates into our daily lives, a new publication from the National Institute of Standards and Technology (NIST) sheds light on a critical vulnerability: AI’s susceptibility to... The post Decoding AI Vulnerabilities: NIST’s Deep Dive into Adversarial Machine Learning (..)

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Beyond Breaches: 2024’s Cyber War – Extortion, Manipulation, and New Battlegrounds

Penetration Testing

In the shadowy realms of cyberspace, threats evolve as swiftly as the technologies they exploit. At the heart of... The post Beyond Breaches: 2024’s Cyber War – Extortion, Manipulation, and New Battlegrounds appeared first on Penetration Testing.

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Ask These 5 AI Cybersecurity Questions for a More Secure Approach to Adversarial Machine Learning

NetSpi Executives

Artificial Intelligence (AI) and Machine Learning (ML) present limitless possibilities for enhancing business processes, but they also expand the potential for malicious actors to exploit security risks. Like many technologies that came before it, AI is advancing faster than security standards can keep up with.

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Managed detection and response in 2021

SecureList

We collect telemetry from clients’ networks and analyze it using machine learning and artificial intelligence, plus human threat-hunting analysts. 7% of high-severity incidents were targeted attacks; 18% were ethical offensive exercises (penetration testing, red teaming etc.).

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How hackers might be exploiting ChatGPT

Security Affairs

Artificial intelligence (AI) has been stirring the imagination of the tech industry thinkers and popular culture for decades. Machine learning technologies that can automatically create text, videos, photos, and other media, are booming in the tech sphere as investors pour billions of dollars into the field. What is ChatGPT?

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Securing the Future of AI: Collaborative Guidelines for Safe Development

Penetration Testing

” This release,... The post Securing the Future of AI: Collaborative Guidelines for Safe Development appeared first on Penetration Testing.

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Ask These 5 AI Cybersecurity Questions for a More Secure Approach to Adversarial Machine Learning

NetSpi Executives

Artificial Intelligence (AI) and Machine Learning (ML) present limitless possibilities for enhancing business processes, but they also expand the potential for malicious actors to exploit security risks. Like many technologies that came before it, AI is advancing faster than security standards can keep up with.