Cyber security: Cyber risks (IoT) and defense against threats (AI and Machine learning) | Striata
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Cyber security: Cyber risks (IoT) and defense against threats (AI and Machine learning)

With the increased frequency and sophistication of cyber attacks and the implementation of stricter regulations around data privacy and protection – it’s imperative that businesses keep abreast of information security challenges.

While new technologies, such as IoT are increasingly vulnerable to attack, others such as Artificial Intelligence (AI) and machine learning are being used to combat cyber-crime.

Read on to learn more about the risks introduced by IoT, and how AI and machine learning are assisting businesses to automate cyber security processes in order to more effectively detect and respond to cyber threats…

Cyber risks in Iot World

Cyber risk in an Internet of Things world

As part of a series published by Deloitte which covers emerging trends in technology, media and telecommunication, this particular article issue looks at the wide range of risks associated with IoT implementations. It provides a snapshot of the threat landscape and highlights new developments in combating the risks introduced by even more connected devices, more data and more points of vulnerability.

  • Publisher: Deloitte
  • Access: Public
  • Download: None
AI against Cyber-security threats

How AI can help you stay ahead of cybersecurity threats

Large organizations are turning to AI and machine learning to automate security processes and detect threats more effectively. Read on to discover how Barclays Africa and other organizations are utilizing advanced technologies to stay ahead of cyber threats by tackling massive amounts of data and compensating for scarce critical (human) skills.

  • Publisher: CSO Online (from IDG)
  • Access: Public for part of the article. Registration required to continue reading
  • Download: None


Machine Learning Defense

The truth about Machine Learning in cybersecurity: Defense

This article looks at the role that machine learning (ML) can play in fighting cyber threats. While not effective in certain areas, such as image recognition and language processing, machine learning is boosting cyber security efforts through common methods such as regression (prediction), classification, clusterization, recommendation and reinforcement.

  • Publisher: Forbes
  • Access: Public
  • Download: None
Alison Treadaway

Alison Treadaway

Director at Striata, South Africa

Alison Treadaway is a director at Striata. She is involved in defining ​and executing ​business ​and marketing ​strategy, nurturing organizational culture​ and​ ​promoting compliance.

Passionate about organizational culture, she is particularly interested in protecting and enhancing Striata’s stories, traditions and unique approach to achieving success. To this end, she interviews 90% of approved candidates to ensure that Striata’s work ethic and social culture will continue to thrive as the organization globalizes.

Alison has 19 years of experience in the ICT sector, having worked at Internet Solutions and Dimension Data prior to joining Striata in 2002. She holds a Bachelor of Arts (Languages, WITS) and a post-graduate diploma in business administration from Wits Business School.

Read more of Alison's blog posts here or connect with her on the following social channels: