Towards trusted AI Week 37 – white hunt for AI vulns

Secure AI Weekly admin todaySeptember 13, 2020 36

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Technologies come, technologies go, and why do we need AI hackers in our lives.


Blessing to AI hacker

The Daily Swig, September 11, 2020

Katie Paxton-Fear is not only a bug bounty hunter but also a Defence and Security educator both in the Cranfield University and on her own YouTube channel (16k+ subscribers). 

In the interview for The Daily, Swig Katie has mentioned the importance of paying attention to finding vulnerabilities in AI for safer usage. Moreover, she highlighted the expected growth of attacks targeted on AI systems. Katie also says: “As a community I think we need to start encouraging data scientists, AI engineers, and machine learning engineers to become hackers themselves and start hacking these [untested] AI systems”.

Portland, Oregon brings facial recognition technology to rest (but not till January 2021)

CNET September 10, 2020

Portland, USA joins San Francisco, Oakland, and Boston in banning facial recognition, though this one is more strict than others. 

Not only police but also businesses will be deprived of facial recognition systems usage concerning gender and racial biases. What is more, the technology seems far from perfect as identifications are primarily incorrect (96% of the time, according to CNET). Such inaccuracy lead “ to wrongful arrests on multiple occasions”. 

So, like any other technology based on AI facial recognition still needs developing and testing for more reliable and more satisfactory outcomes.

A solution you definitely want to know about

HelpNetSecurity September 11, 2020

A cross-layered detection and response method (also known as XDR) is described as a proactive solution for identifying concealed threats and adversarial attacks. 

XDR is claimed to be a stronger solution than EDR, NTA, or SIEM as it collects data from multiple sources in an organization and automatically compares it “across several security layers” which prevents immediate threat investigation. 

So, to protect any AI-based process companies might consider paying attention to such a system, which not only traces hidden threats but also lifts engaged teams’ efficiency.

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