The New Stack Podcast11 Apr 2024

AI, LLMs and Security: How to Deal with the New Threats

The use of large language models (LLMs) has become widespread, but there are significant security risks associated with them. LLMs with millions or billions of parameters are complex and challenging to fully scrutinize, making them susceptible to exploitation by attackers who can find loopholes or vulnerabilities. On an episode of The New Stack Makers, Chris Pirillo, Tech Evangelist and Lance Seidman, Backend Engineer at Atomic Form discussed these security challenges, emphasizing the need for human oversight to protect AI systems.

One example highlighted was malicious AI models on Hugging Face, which exploited the Python pickle module to execute arbitrary commands on users' machines. To mitigate such risks, Hugging Face implemented security scanners to check every file for security threats. However, human vigilance remains crucial in identifying and addressing potential exploits.

Seidman also stressed the importance of technical safeguards and a culture of security awareness within the AI community. Developers should prioritize security throughout the development life cycle to stay ahead of evolving threats. Overall, the message is clear: while AI offers remarkable capabilities, it requires careful management and oversight to prevent misuse and protect against security breaches.

Learn more from The New Stack about AI and security:

Artificial Intelligence: Stopping the Big Unknown in Application, Data Security

Cyberattacks, AI and Multicloud Hit Cybersecurity in 2023

Will Generative AI Kill DevSecOps?

Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(300)

Why CPUs still matter in the age of AI agents

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Pate...

11 Aug 26min

Why Doist Says Less AI Can Deliver More

Doist CTO Gonçalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subt...

31 Jul 35min

Why your company should (try to) build its own AI SRE

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human ...

30 Jul 30min

Nvidia

In this episode with The New Stack Agents, Frederic Lardinois, NVIDIA’s Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them prac...

23 Jul 32min

Meet Brain, the AI that decides when Azure is officially down

In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure’s health, detects incidents, identifies root causes, and increasi...

14 Jul 19min

What comes after attention? This startup says it already knows.

Subquadratic is beginning to back up its ambitious claims with benchmarks and third-party validation for its SubQ 1.1 Small model, which uses its proprietary Sparse Attention (SSA) architecture to dra...

7 Jul 20min

“The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production

Harness has introduced Autonomous Worker Agents, a new capability that allows enterprises to replace rigid CI/CD pipeline scripts with AI agents that can deploy applications, run tests, and perform se...

2 Jul 19min

Public cloud vs. on-prem: Summit on where each workload belongs

More than two decades after AWS helped usher in the public cloud era, many organizations are reassessing whether a cloud-first strategy still delivers the cost and operational benefits it once promise...

25 Jun 36min