The New Stack Podcast11 Huhti 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.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(300)

Dynatrace wants its AI agents to fix problems instead of adding alerts

Dynatrace's view is that AI apps should be monitored like any other app. They still run alongside older systems, including mainframes, and when something breaks, teams need to know what it cost and wh...

5 Loka 20min

Bit Cloud’s next chapter starts after the AI builds your app

For many developers, turning an AI-generated prototype into maintainable software requires more than generating code—it requires infrastructure, collaboration, testing and review. In this episode of T...

1 Loka 31min

CloudBees just committed to an AI-first pivot. Here's why it matters for enterprise DevOps teams

CloudBees CEO Mo Plassnig is leading the CI/CD company through a major transformation as generative AI reshapes software development. Returning to CloudBees eight years after joining through its acqui...

30 Syys 23min

A third option is emerging in the fight over AI and your data

The AI industry has faced a growing enterprise dilemma: companies want access to powerful proprietary AI models without risking sensitive data or intellectual property, while AI labs want to protect t...

23 Syys 30min

Drowning in AI pull requests: Harness's field CTO on code review and a Git repo built for agents

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bo...

7 Syys 26min

How to find failures without drowning in tracing data

Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce d...

3 Syys 31min

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 Elo 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 Heinä 35min