Machine Learning, AI, & Cyber Security Part 2: Malicious Actors | Razorwire Podcast
- Machine Learning, AI & Cyber Security Part 2: Malicious Actors
Welcome to a new episode of the Razorwire Podcast!
Welcome to part two of our episode on Machine Learning, AI and Cyber Security. In part one, we discussed what it will be like for us as security professionals when we have access to AI tools, what we are doing with them now and how we could use them in future.
In part two, we are re-joined by our guests Oliver Rochford of Securonix and Jonathan Care, a mentor of mine who specialises in cyber security and fraud detection.
We continue the conversation but this time we discuss what will happen when malicious actors use the same tools and technologies that we use for security for their own purposes. It’s only a matter of time before they twist AI against us for nefarious ends.
Although the technology is still evolving, and malicious actors are still learning how to manipulate it, we discuss the threats we’re currently facing as organisations along with the best ways to defend against AI tools in the hands of the enemy.
Tune into this episode to join our discussion and let us know what you think.
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In this episode, we covered the following topics:
- What access do malicious actors currently have to AI tools?
- What exactly can they use AI technology for?
- The case of Oracle poisoning
- How AI can be used to improve the precision of a cyber attack
- The funding requirements needed to build and manipulate AI technology
- How hackers can use AI for making deep fakes to bypass security
- Challenges of data labelling to use AI better
- Discussion about insider risk
- How data collection on hacking targets can be made easier through the use of machine learning
- The importance of accelerating defensive innovation in AI
Listen to - Machine Learning, AI & Cyber Security Part 1 : Used for Good
– worked in cyber security as a penetration tester, consultant and industry analyst for over 20 years
Oliver has worked in cyber security as a penetration tester, consultant, researcher and industry analyst for over 20 years. Interviewed, cited and quoted by media, think tanks and academia, he has written for SecurityWeek, CSO Online and Dark Reading. While working at Gartner, he co-named the Security Orchestration, Automation and Response (SOAR) market, worked on the SIEM Magic Quadrant and covered the European MSSP Market. Prior to joining Securonix, Oliver worked for Qualys, Verizon, Gartner and Tenable. Oliver is a Senior Director and Security Evangelist at Securonix.
An expert in the field of Cyber Security & Fraud Detection
Jonathan Care is a recognised expert in the field of Cyber Security and Fraud Detection. A former top-rated Gartner analyst, Care was responsible for defining the fraud market and leading Gartner’s Insider Threat and Risk research. He regularly advises cyber security industry leaders on strategic growth and has worked with key figures in industry and government across the globe. He is a lead contributor for Dark Reading, an industry-defining publication.
Care has testified in court as an expert witness and forensic investigator and is a Fellow of the British Computer Society. He also fuels his creative passion as a composer of film/TV music.
Connect with Your host James Rees
Hello, I am James Rees, the host of the Razorwire podcast. This podcast brings insights from leading cyber security professionals who dedicate their careers to making a hacker’s life more difficult.
Our guests bring you experience and expertise from a range of disciplines and from different career stages. We give you various viewpoints for improving your cyber security; from seasoned professionals with years of experience, triumphs and lessons learned under their belt, to those in relatively early stages of their careers offering fresh eyes and new insights.
With new episodes every other Wednesday, Razorwire is a podcast for cyber security enthusiasts and professionals providing insights, news and fresh ideas on protecting your organisation from hackers.
Listen to this episode on your favourite podcasting platform and for more information about us or if you have any questions you would like us to discuss on the podcast, email email@example.com.
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