Towards Trusted AI Week 46 – Secure and Trusted AI Highlights from AI4 2022 Conference and IEEE Whitepaper

Last week there were two important pieces of security news we decided to write immediately. The one is about winning the game of Go with adversarial attacks and the other covers an adversarial attack created with knitting. Nothing else requiring special attention happened.

Therefore, we share information about the key content from IEEE Cybersecurity for Next-Generation Connectivity Systems and AI4 2022 conference. Noteworthy topics on the Secure and Trusted AI were considered.

1. AI Risk, Quality, and Explainability: Managing Risk while Driving Growth with Deloitte
   As the title implies, the presentation contains explanations of the risks AI carries in itself and methods for managing these risks.
2. Managing Governance and Risk at Global Scale with Modern MLOps with DataRobot
   This topic describes how organizations create MLOps centers, how documentation is automated, and methods for setting performance limits when automating real-time monitoring.
3. AI Safety and Security with University of Louisville
   This thread talks about a surprise AI has brought to cybersecurity and how cybersecurity professionals can prepare to deal with the consequences of AI.
4. Executive Outlook: CISO Perspective on AI
   CISOs from various industries discuss the ways AI can contribute to cybersecurity.

Listen to all the AI4 2022 conference records via provided links.

White Paper – Cybersecurity for Next-Generation Connectivity Systems-Rethinking Digital Architectures to Safeguard the Next Generation From Cybersecurity Breaches

IEEE, November 4, 2022

The Internet has long been an integral part of the stream of information around the world. But now we all see a huge amount of extremely sensitive and critical data. The architecture of protocol stacks and software applications is not adapted to solve cybersecurity problems.

This paper was written by Vikas Milhotra, Merrick S. Watchorn, Keeper L. Sharkey, Deepayan Chanda, Albert H. Carlson, Mark Lizar, Pamela Gupta, Michael A Enright, Alex Polyakov, and Debbie Reynolds. It outlines the reasons why technologies, systems, networks and data in an environment with dynamic risks, next-generation architecture is needed.

The paper shows a forward-looking and strategic approach capable of advancing an architecture that is inherently resilient to cybersecurity threats. This approach could also meet the needs of AI, 6G, Web X.0, IoT, Metaverse, and any envisaged evolutionary technologies.

Adversa AI founder Alex Polyakov also contributed to this whitepaper by sharing his 20 years of experience in Cybersecurity and Trusted AI.

Read the full paper with the described approach at the link.

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