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Home » Security Bloggers Network » DerbyCon 2018, Eric Watkins’ & Devin Noel’s ‘Ham Radio 4 Hackers’

DerbyCon 2018, Eric Watkins’ & Devin Noel’s ‘Ham Radio 4 Hackers’

by Marc Handelman on December 8, 2018

Videography Credit: Irongeek (Adrian Crenshaw).

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*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://youtu.be/km9CqjwkJkE

December 8, 2018December 8, 2018 Marc Handelman Information Security, Irongeek, Radio, Signals

← DerbyCon 2018, April Wright’s ‘Social Engineering At Work – How To Use Positive Influence To Gain Management Buy-In For Anything’
DerbyCon 2018, Dan Browder’s ‘Getting Control Of Your Vendors Before They Take You Down’ →

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Security in AI

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How would you best describe your organization's current stage of securing the use of generative AI in your applications?(Required)

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Average - We have some policies or tools in place.

Advanced - We have some enhanced security protocols specifically tailored for generative AI in our applications.

Very advanced - We have comprehensive, mature, and proactive security solutions for generative AI in our applications.

Have you implemented, or are you planning to implement, zero trust security for the AI your organization uses or develops?(Required)

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Do not use zero trust at all

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What are the three biggest challenges your organization faces when integrating generative AI into applications or workflows? (Select up to three)(Required)

Cost to implement

Data security or privacy

Lack of expertise or experience

Security of prompts or responses

Potential impacts on performance or scalability of the AI

Compliance with standards and regulations

Potential impacts on performance or scalability of the applications

Intellectual property protection

Integration capabilities of current systems

Access security

How does your organization secure proprietary information used in AI training, tuning, or retrieval-augmented generation (RAG)? (Select all that apply)(Required)

Encryption at rest

Encryption in transit

Data access control, monitoring

Data anonymization

Data/information isolation

Data masking/tokenization

Data governance policies

Zero trust / continuous authentication and authorization

No specific measures in place

Which of the following kinds of tools are you currently using to secure your organization’s use of generative AI? (select all that apply)(Required)

Native cloud service tools (AWS Guardrails, e.g.)

Third-party tools

Custom in-house tools

No specific tools

How valuable do you think it would it be to have a solution that classifies and quantifies risks associated with generative AI tools?(Required)

Extremely valuable

Very valuable

Somewhat valuable

Not valuable

What are, or do you think would be, the most important reasons for implementing generative AI security measures? (Select up to three)(Required)

Regulatory compliance

Protecting intellectual property

Mitigating potential data breaches

Maintaining customer trust

Competitive advantage

Improved risk management

Increased operational efficiency

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