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MLSecOps
United States
เข้าร่วมเมื่อ 8 ธ.ค. 2022
Since its inception, the MLSecOps Community has been a leader in educating and promoting the integration of security practices throughout the entire AI/ML lifecycle. The transition from MLOps to MLSecOps introduces contemporary best practices, aligning with the rapid adoption of AI-powered technologies in our society.
Built on the solid foundation of traditional cybersecurity pillars-people, processes, and technology-the MLSecOps framework encompasses assurance categories such as supply chain vulnerabilities, model provenance, GRC, Trusted AI, and adversarial machine learning.
The MLSecOps Community is dedicated to propelling the field of MLSecOps through heightened awareness and by providing current, relevant, and high-quality educational resources. Additionally, it aims to offer access to the insights of today's AI security thought leaders and experts.
Learn more and join the community at mlsecops.com/join
MLSecOps Meetup | Trojan Model Hubs: Hacking the ML Supply Chain and Defending Yourself from Threats
In the fast-moving world of Artificial Intelligence (AI) and Machine Learning (ML), ensuring model and data integrity is a must. Sam Washko and Will Armiros (Sr. Software Engineers, Protect AI) joined our MLSecOps Community Meetup on September 10, 2024 to talk about ML supply chain vulnerabilities and defenses. Some of their key insights on model serialization attacks, data poisoning, and the bleeding-edge tools developed to keep your AI safe are included at community.mlsecops.com/home/videos/september-2024-mlsecops-community-meetup-2024-09-10.
มุมมอง: 31
วีดีโอ
AI Beyond the Hype: Lessons from Cloud on Risk and Security
มุมมอง 6714 วันที่ผ่านมา
The MLSecOps Podcast | Season 3 Episode 2 With Caleb Sima Hosted by Diana Kelley Full transcript with links to resources available at mlsecops.com/podcast/ai-beyond-the-hype:-lessons-from-cloud-on-risk-and-security. On this episode of the MLSecOps Podcast, we’re bringing together two cybersecurity legends. Our guest is the inimitable Caleb Sima, who joins us to discuss security considerations f...
Essential Practices for Generative AI Security and Beyond
มุมมอง 6621 วันที่ผ่านมา
Welcome to "MLSecOps Connect: Ask the Experts," an educational live stream series from the MLSecOps Community where attendees have the opportunity to hear their own questions answered by a variety of insightful guest speakers. This is a recording of the session we held on September 11, 2024 with Ken Huang, CISSP. During this session, Ken answered questions from the MLSecOps Community related to...
Generative AI Prompt Hacking and Its Impact on AI Security & Safety
มุมมอง 14528 วันที่ผ่านมา
The MLSecOps Podcast | Season 3 Episode 1 With Sander Schulhoff Hosted by Charlie McCarthy Welcome to Season 3 of the MLSecOps Podcast, brought to you by Protect AI! In this episode, MLSecOps Community Manager Charlie McCarthy speaks with Sander Schulhoff, co-founder and CEO of Learn Prompting. Sander discusses his background in AI research, focusing on the rise of prompt engineering and its cr...
MLSecOps Connect: Ask the Experts | ML Model Security - Is Your AI Protected?
มุมมอง 45หลายเดือนก่อน
Welcome to "MLSecOps Connect: Ask the Experts," an educational live stream series from the MLSecOps Community where attendees have the opportunity to hear their own questions answered by a variety of insightful guest speakers. This is a recording of the session we held on August 28, 2024 with the Chief Architect at Protect AI, Sean Morgan. In prior roles, Sean led production AI/ML deployments i...
The MLSecOps Podcast Season 2 Finale
มุมมอง 74หลายเดือนก่อน
This compilation contains highlights from every episode of Season 2 of the MLSecOps Podcast. Thank you to everyone who has supported this show, including our listeners, hosts, and stellar expert guests. Stay tuned for Season 3! Highlights: Cybersecurity of Tomorrow: Exploring the Future of Security and Governance for AI Systems: mlsecops.com/podcast/cybersecurity-of-tomorrow-exploring-the-futur...
MLSecOps Connect: Ask the Experts - Exploring AI Cybersecurity and Regulation with Scott M. Giordano
มุมมอง 652 หลายเดือนก่อน
Welcome to the fresh online series, "MLSecOps Connect: Ask the Experts," where community members can hear their own questions answered by a variety of insightful guest speakers. We're honored to welcome our next guest, Scott M. Giordano, Esq., to the show! Scott is an attorney based in the USA with more than 25 years of legal, technology, and risk management consulting experience. An IAPP Fello...
Exploring Generative AI Risk Assessment and Regulatory Compliance
มุมมอง 2032 หลายเดือนก่อน
The MLSecOps Podcast | Season 2 Episode 15 With David Rosenthal Hosted by Alex Bush and Charlie McCarthy In this episode of the MLSecOps Podcast we have the honor of talking with David Rosenthal, Partner at VISCHER (Swiss Law, Tax & Compliance). David is also an author & former software developer, and lectures at ETH Zürich & the University of Basel. He has more than 25 years of experience in d...
MLSecOps Culture: Considerations for AI Development and Security Teams
มุมมอง 1333 หลายเดือนก่อน
The MLSecOps Podcast | Season 2 Episode 14 With Chris Van Pelt Hosted by Badar Ahmed and Diana Kelley In this episode, we had the pleasure of welcoming Co-Founder and CISO of Weights & Biases, Chris Van Pelt, to the MLSecOps Podcast. Chris discusses a range of topics with hosts Badar Ahmed and Diana Kelley, including the history of how W&B was formed, building a culture of security & knowledge ...
MLSecOps Connect: Ask the Experts - Securing AI/ML with Ian Swanson
มุมมอง 1743 หลายเดือนก่อน
Join us for the first in a new online series, "MLSecOps Connect: Ask the Experts," where community members can hear their own questions answered by a variety of insightful guest speakers. Kicking things off, our first esteemed speaker is Ian Swanson, Co-founder and CEO of Protect AI. Ian will join us on June 26, 2024 to field questions about all things MLSecOps and security for AI & machine lea...
Practical Offensive and Adversarial ML for Red Teams
มุมมอง 2333 หลายเดือนก่อน
The MLSecOps Podcast | Season 2 Episode 13 With Adrian Wood Hosted by Dan McInerney and Marcello Salvati Next on the MLSecOps Podcast, we have the honor of highlighting one of our MLSecOps Community members and Dropbox™ Red Teamers, Adrian Wood. Adrian joined Protect AI threat researchers, Dan McInerney and Marcello Salvati, in the studio to share an array of insights, including what inspired h...
Expert Talk from RSA Conference: Securing Generative AI
มุมมอง 1814 หลายเดือนก่อน
The MLSecOps Podcast | Season 2 Episode 12 With Guest Ken Huang, CISSP Hosted by Neal Swaelens, EMEA Director of Business Development, Protect AI In this episode, host Neal Swaelens catches up with Ken Huang, CISSP at RSAC 2024 to talk about security for generative AI. Thanks for listening! Find more episodes and transcripts at bit.ly/MLSecOpsPodcast. Additional MLSecOps and AI Security tools a...
Practical Foundations for Securing AI
มุมมอง 2345 หลายเดือนก่อน
The MLSecOps Podcast | Season 2 Episode 11 With Guest Ron F. Del Rosario, Chief Product Security Architect and AI/ML Security Lead at SAP ISBN Hosted by Daryan Dehghanpisheh, Co-Founder and President of Protect AI In this episode of the MLSecOps Podcast, we delve into the critical world of security for AI and machine learning with our guest Ron F. Del Rosario, Chief Security Architect and AI/ML...
Evaluating RAG and the Future of LLM Security: Insights with LlamaIndex
มุมมอง 5045 หลายเดือนก่อน
The MLSecOps Podcast | Season 2 Episode 10 With Guest Simon Suo, Co-Founder & CTO at LlamaIndex Hosted by Neal Swaelens and Oleksandr Yaremchuk, Co-Founders of Laiyer AI (Acquired by Protect AI) In this episode of the MLSecOps Podcast, host Neal Swaelens, along with co-host Oleksandr Yaremchuk, sit down with special guest Simon Suo, co-founder and CTO of LlamaIndex. Simon shares insights into t...
"What is MLSecOps?" Building security into MLOps workflows by leveraging DevSecOps principles.
มุมมอง 3696 หลายเดือนก่อน
Join cybersecurity expert and CISO at Protect AI, Diana Kelley, as she provides an overview of the Machine Learning Security Operations (MLSecOps) framework. Learn more about the framework and best practices for securing AI and machine learning systems with the MLSecOps Community at community.mlsecops.com.
Securing AI: The Role of People, Processes & Tools in MLSecOps #shorts
มุมมอง 476 หลายเดือนก่อน
Securing AI: The Role of People, Processes & Tools in MLSecOps #shorts
AI Threat Research: Spotlight on the Huntr Community
มุมมอง 1937 หลายเดือนก่อน
AI Threat Research: Spotlight on the Huntr Community
Securing AI: The Role of People, Processes & Tools in MLSecOps
มุมมอง 3407 หลายเดือนก่อน
Securing AI: The Role of People, Processes & Tools in MLSecOps
ReDoS Vulnerability Reports: Security Relevance vs. Noisy Nuisance
มุมมอง 1117 หลายเดือนก่อน
ReDoS Vulnerability Reports: Security Relevance vs. Noisy Nuisance
Finding a Balance: LLMs, Innovation, and Security
มุมมอง 1247 หลายเดือนก่อน
Finding a Balance: LLMs, Innovation, and Security
Secure AI Implementation and Governance
มุมมอง 2128 หลายเดือนก่อน
Secure AI Implementation and Governance
Risk Management and Enhanced Security Practices for AI Systems | The MLSecOps Podcast
มุมมอง 3578 หลายเดือนก่อน
Risk Management and Enhanced Security Practices for AI Systems | The MLSecOps Podcast
Join Diana and other cybersecurity professionals at the MLSecOps Community Meetup on Jan 30, 2024
มุมมอง 138 หลายเดือนก่อน
Join Diana and other cybersecurity professionals at the MLSecOps Community Meetup on Jan 30, 2024
What does the transparency of open source ML mean for the security of AI? #MLSecOps #airisks #ai
มุมมอง 79 หลายเดือนก่อน
What does the transparency of open source ML mean for the security of AI? #MLSecOps #airisks #ai
The three stages of the AI lifecycle #securingai #MLSecOps #aisecurity #airisks #ai
มุมมอง 169 หลายเดือนก่อน
The three stages of the AI lifecycle #securingai #MLSecOps #aisecurity #airisks #ai
Evaluating Real-World Adversarial ML Attack Risks and Effective Management | The MLSecOps Podcast
มุมมอง 34410 หลายเดือนก่อน
Evaluating Real-World Adversarial ML Attack Risks and Effective Management | The MLSecOps Podcast
From Risk to Responsibility: Violet Teaming in AI | The MLSecOps Podcast
มุมมอง 15111 หลายเดือนก่อน
From Risk to Responsibility: Violet Teaming in AI | The MLSecOps Podcast
Cybersecurity of Tomorrow: Exploring the Future of Security and Governance for AI Systems
มุมมอง 15411 หลายเดือนก่อน
Cybersecurity of Tomorrow: Exploring the Future of Security and Governance for AI Systems
A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems | The MLSecOps Podcast
มุมมอง 180ปีที่แล้ว
A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems | The MLSecOps Podcast
ML Model Fairness: Measuring and Mitigating Algorithmic Disparities | The MLSecOps Podcast
มุมมอง 18ปีที่แล้ว
ML Model Fairness: Measuring and Mitigating Algorithmic Disparities | The MLSecOps Podcast
@10:26 L@L you think....
:)
this is a great informative video pls keep posting
Thank you for the feedback, @XplorerTech00!
Great answers and examples. Appreciate your time.
Glad you found it informative, @Sec_ArtChavez. Thanks for checking it out!
good pod i m starting my journey in cyber sec i love to be unique and this protect ai is good
Awesome! Thanks for the feedback, @XplorerTech00. Happy to know you enjoy the pod
Pls keep Posting the contents is good
Thanks for the feedback!
Awesome guest, keep up the good work, this inspires me alot
Awesome! Thank you!
On agentic execution I personally think it's not there yet, but the next step, once the competency gap improves, I see treating using agentic LLMs as continuous contributors to a project, in the same way open source allows anyone to contribute code and audit new code. Basically, you don't trust the code to work, be secure, or be ran in prod/delivery, just like you don't trust anonymous merge requests. With a robust enough CI/CD system it should filter out straight attacks, known CVE introductions, code that fails unit, integration, and e2e tests, but the role of maintainer is still too high of a position of accountability to give quite yet to.