Today’s Edition: Managing AI—The Ultimate Balancing Act
With the rising cases of stolen data and billion dollar lawsuits , businesses, lawmakers, and individuals are being forced to take a hard look at how AI can and should maintain privacy and security.
On the flip side, we’ve seen astronomical benefits to the proper usage of AI, and implementing a large language model within your organization could undoubtedly save time and money.
This juxtaposition has been coined The AI Paradox, and societies everywhere are learning how to strike the right balance between innovation and safety.
Today’s edition of Trusted looks at this from all angles. Check it out ??
Privacy by Design Is Crucial to the Future of AI
In a world filled with GPT wrappers and rushed-to-market solutions using unfinished generative AI models, it makes you wonder what implications the slew of draft state, federal, and international regulations will have on them.?
On the one hand, you have rapid innovation and pioneers experimenting in near real-time; on the other, you have significant privacy concerns and data risks that are sidelined because we are once again entering a new technological frontier.
This blog post explores the intersection of AI and privacy by design, covering topics like:
You can also watch our CISO, Matt Hillary, explaining how you can define privacy by design for your organization.
From Drata's Experts
AI Regulations: Where We’re At and Where We’re Going
As nations around the globe grapple with the challenges posed by AI, efforts to establish comprehensive frameworks are gaining momentum .
The AI Dilemma: Harnessing the Power of AI While Protecting Privacy
The effort to strike a perfect balance between harnessing AI's power and safeguarding individual privacy is being felt globally .
AI in Scams and Social Engineering
We’re taking a hard look at some of the most prominent AI-related cyber threats in 2024 and sharing a few pointers to avoid getting duped.
Public vs. Private AI Models: A Balanced Perspective
Choosing between deploying public or private AI models is a factor that many organizations don’t often consider.?
领英推荐
Public models are now readily available and designed to be consumer-friendly, but private models provide more accurate responses with greater control and require more data to be efficient.
Keep reading as we explore the similarities and differences between the two, including:
Around the Web
Lawmakers unveil sprawling plan to expand online privacy protections | The Washington Post
CISO Perspectives on Complying with Cybersecurity Regulations | The Hacker News
From Our Customers
How to Achieve SOC 2 Type 2 in 90 Days
Kosli shares their journey to SOC 2 Type 2 in 90 days using Drata to automate evidence collection, streamline audit prep, and embed compliance into their SDLC.
Find out more here .
Secured Jobs
Compliance Manager - Trading | BP | New York, NY
Information Systems Cybersecurity Engineer (Threat Modeling), Enterprise Systems | Apple | Austin, TX
Senior SAP GRC and Fiori Security Specialist | Deloitte | Mechanicsburg, Pennsylvania
Helpful Resources
Trusted is currently published twice a month and is designed to share the latest resources from around the compliance, risk management, and cybersecurity space. If you have suggestions or would like to include a recent article or podcast, please let us know.
?? Secured , The Drata Community
↘? Trusted : Share our newsletter with others
Absolutely, balancing AI's potential with privacy is crucial. As Plato remarked - necessity is the mother of invention. Let's innovate responsibly! ????