Remove services adversary-exercises
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The Power of AI Assistants and Advanced Threat Detection

Palo Alto Networks

We recently interviewed Mike Spisak, technical managing director with the Proactive Services Creation Team at Unit 42. The ability to distinguish legitimate traffic from malicious traffic and then automatically diverting or taking autonomous action to maintain service availability will become increasingly refined," Spisak explained.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. Figure 1 illustrates an example adversarial search for an example credit default ML model. We found something wrong; what do we do?

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Identifying detection opportunities in cryptojacking attacks

Lacework

This blog post will examine the obstacles adversaries must overcome to succeed in their cryptojacking campaigns and the detection opportunities that arise from it with corresponding Atomic Red Team tests. Adversary Challenge – Defenses on by Default. Adversary Challenge – Hiding Increased CPU Load.

Malware 52
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Cracking the Code — How Machine Learning Supercharges Threat Detection

Palo Alto Networks

They operate quarterly exercises where they select a target and attempt to breach it without the SOC's knowledge. If the SOC identifies a potential attack during the exercise, they consult with the red team to avoid wasting resources on internal investigations.

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Why Is It Necessary to Run Cybersecurity Evaluation Exercises?

Altexsoft

This is a guest article by IT service provider Asim Rahal. The rapidly growing volume and sophistication of attacks entail the need for greater preparedness, especially through regular security exercises. Here’s a question related to the field of security: Why do military organizations ceaselessly conduct combat exercises or drills?

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Refresh your understanding of the AWS Shared Responsibility Model as it applies to infrastructure, services, and data when you build LLM solutions. Some risks may be acceptable to your business, and a threat modeling exercise can help your company identify what your acceptable risk appetite is.

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Enhance Your Security Posture: Doing Four Things Can Reduce Unauthorized Penetrations by 85%

CTOvision

Limitation and Control of Network Ports, Protocols, and Services. href="[link] Control 11: Limitation and Control of Network Ports, Protocols, and Services. Penetration Tests and Red Team Exercises. href="[link] Control 20: Penetration Tests and Red Team Exercises. Adversaries look for accounts with admin rights.