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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. How transparent is the model architecture? Will the architecture details be publicly available or proprietary?

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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. How transparent is the model architecture? Will the architecture details be publicly available or proprietary?

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Common Terminology in Adversarial Machine Learning

NetSpi Executives

Artificial Intelligence (AI) and Machine Learning (ML) have vast applications in the cyber space. Artificial Intelligence (AI) versus Machine Learning (ML) Before we dive in, let’s level set on the differences between AI and ML, or perhaps the lack thereof. Learn about NetSPI’s AI/ML Penetration Testing.

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2024 State of Cybersecurity: Reports of More Threats & Prioritization Issues

eSecurity Planet

The sophistication gap presents security professionals with the dilemma where “on one end, advanced attackers employ custom tools and cloud infrastructure; on the other, some still use basic, often free services.” Infrastructure Protection Defense against DDoS and DNS attacks starts with effective network security architecture.

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What is Network Security? Definition, Threats & Protections

eSecurity Planet

Often auditing will be performed through the review of networking logs, but penetration testing and vulnerability scanning can also be used to check for proper implementation and configuration. Poor Maintenance The best security tools and architecture will be undermined by poor maintenance practices. of their network.