This report offers insights onto the threats and suspicious activity across those flows. It also provides strategic, tactical, and operational information on all traffic in all directions utilizing the MITRE ATT&CK framework. In additional, the report highlights the applications, protocols, and tools running on these networks.

In this report, we’re going to discuss how bit-and-piece attacks have continued to evolve, and are able to successfully evade DDoS mitigation schemes when blended with multiple attack vectors, and the challenges that these advanced attack tactics present to the cybersecurity world.

Sophos’ annual threat report drawn from incident response engagements with customers.

This report looks at the present state of Malicious uses of AI, then makes predictions for the future. It ends with recommendations to prevent malicious use of AI.

From the report, “With endpoint security products continuing to be at the tip of the spear of cyber defenses for years to come, the question is how to ensure the best possible security posture. No matter which way an endpoint security buyer turns, there is no one magic bullet. It is likely that a layered approach with multiple different technologies working together is required.” Read on to find out why.

To provide insights into the complex challenges faced by organizations as they fight to protect their brands, Radware produces an annual Global Application & Network Security Report. This eighth annual version of the report combines Radware’s organic research, real attack data and analyses of developing trends and technologies with the findings from a global industry survey.

In this whitepaper they cover the different defense technologies used over time, how different attacks vectors influenced this evolution, how the industry adopted different approaches over time, and why the prevention approach has returned and why it matters.

This is a very good guide to building a good threat detection model for machine learning.

In this white paper, they aim to define generations of machine learning and to explain the maturity levels of artificial intelligence (AI) and machine learning (ML) that are being applied to cybersecurity today. In addition, the paper seeks to explain that while a great deal of progress has been made in the evolution of machine learning’s application to cybersecurity challenges, there remains an immense amount of opportunity for innovation and advancement in the field, and they expect the sophistication of applications of machine learning to continue to evolve over time.

This report takes a look at some of the problems in AI, and machine based cyber security, and seeks to show how they can be overcome.

A close inspection of one of the most exciting and promising fields of research in 2017, and how it might be applied to the fast-moving world of mobile security.

This paper delivers insights into the prevalent cybersecurity issues facing organizations today: from ransomware to exploits and machine learning, it shares the experiences and future plans of IT managers across the globe. It’s an illuminating read, providing insight into where the field stands on these issues.