Protect AI的封面图片
Protect AI

Protect AI

计算机和网络安全

Seattle,Washington 17,664 位关注者

Cybersecurity for machine learning models and artificial intelligence systems.

关于我们

Protect AI is a cybersecurity company focused on AI & ML systems. Through the delivery of innovative security products and thought leadership in MLSecOps, we help our customers build a safer AI powered world. Protect AI is based in Seattle, Washington, with offices in Dallas, Texas, and Raleigh, North Carolina. The company is directed by proven leaders in AI and ML with funding from successful venture partners in cybersecurity and enterprise software.

所属行业
计算机和网络安全
规模
51-200 人
总部
Seattle,Washington
类型
私人持股
创立
2022
领域
Machine Learning、Artificial Intelligence、Data Science、Security、MLSecOps、MLOps、ML Ops、Cybersecurity、ML、AI、AI Security、ML Security和Model Security

地点

Protect AI员工

动态

  • 查看Protect AI的组织主页

    17,664 位关注者

    Join us on April 10th at 11 AM Pacific for a in-depth session with Diana Kelley, CISO at Protect AI, exploring how to implement Secure by Design principles for AI systems. As organizations rapidly adopt AI technologies, traditional security approaches fall short against the unique challenges of AI vulnerabilities. Whether you're a security leader, AI developer, or compliance professional, you'll walk away from this session with actionable frameworks to protect your AI investments while staying compliant with evolving regulations. Join us for this exclusive webinar and learn about: ?? The unique attack surface of AI systems ?? Applying CISA's Secure by Design framework to AI ?? Agentic AI: security at the intersection of AI and traditional software ??? Defense in depth across the MLSecOps lifecycle ??? Essential tools for AI security in practice Save your spot now! ?? https://hubs.ly/Q03dHr5t0 #AISecurity #Cybersecurity #MLSecOps #AIRisks #SecureByDesign

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  • 查看Protect AI的组织主页

    17,664 位关注者

    As AI adoption accelerates across industries, organizations face unprecedented security challenges that traditional cybersecurity approaches cannot fully address. A Secure by Design approach is essential to navigate these new complexities. Our new white paper, "Securing AI's Front Lines: Implementing Secure by Design Principles in AI System Development," outlines a comprehensive framework for implementing Secure by Design principles throughout the AI development lifecycle. In this white paper, we explore: ?? How to implement Secure by Design principles throughout the AI development lifecycle ?? Practical frameworks including OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI-RMF ?? Essential MLSecOps practices for protecting AI systems at every phase ??? Specialized security tools for testing, monitoring, and protecting AI applications Download the white paper "Securing AI's Front Lines: Implementing Secure by Design Principles in AI System Development" ?? https://lnkd.in/gWgAh3nm #AISecurity #SecureByDesign #MLSecOps #CyberSecurity #AgenticAI

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  • 查看Protect AI的组织主页

    17,664 位关注者

    In AI, machine learning (ML) models are dynamic engines driving predictions and actions. Unlike static IT applications, ML models evolve by learning from data, posing unique security challenges. To tackle these challenges head-on, utilizing Machine Learning Security Operations (MLSecOps) is essential for secure model deployment and ongoing vigilance. To understand how MLSecOps can help protect AI models in production environments, Protect AI's Diana Kelley explores the four key phases of ML model deployment in this article from Help Net Security: ?? Release: Final security validation before production, including compliance checks and digital signing ?? Deploy: Implementing "policies as code" for automated security enforcement ?? Operate: Runtime security with access controls and segmentation ?? Monitor: Continuous vigilance against model drift and adversarial attacks Read the full article: https://hubs.ly/Q03dv-_j0 Learn more about Protect AI's solutions and how to integrate security directly into your AI/ML pipelines at https://hubs.ly/Q03dw2YP0. #AISecurity #MachineLearning #Cybersecurity #MLSecOps

  • Protect AI转发了

    查看MLSecOps Community的组织主页

    2,595 位关注者

    Missed the last MLSecOps Community virtual AMA? No problem. "Key Insights for CISOs: Securing AI in Your Organization" with expert guest Diana Kelley, CISO at Protect AI, and hosted by MLSecOps Community leader Charlie McCarthy. ??You can still check out the recording! ?? Link in the comments. Learn Diana's thoughtful insights on all this and more! ?? -AI's popping up everywhere from hospitals to and and and... Are there any industries that seem behind on AI security and need to catch up? -What’s a rookie mistake to avoid when it comes to AI security? (Diana shares two!) -Compliance talk around AI is starting to feel pretty intense. How can CISOs keep up? -Any "red flags" in AI compliance that it seems most companies aren’t even looking at yet? -Hot take - AI regulations and their rapid changeover over time: do they hinder innovation? -Security risks of large language models (LLMs). What are security teams sleeping on? -Data poisoning attacks on AI— real problem vs. hype -How much of AI security is really about getting people to stop doing dumb stuff vs. just fixing the tech itself? -"Worried about insider threats to my AI ecosystem, but I don’t even know WHAT to be worried about." -Security considerations for Agentic AI systems (??extra hot topic) Thanks to Diana for a wonderful session ?? #MLSecOps #AISecurity #GenAI #LLM #ai #agents #ProtectAI

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  • 查看Protect AI的组织主页

    17,664 位关注者

    As #LLMs transform business workflows, they also expand enterprise attack surfaces. Protect AI's Head of Product for LLM Security, Neal Swaelens, published a comprehensive guide on the #RSAC blog outlining a lifecycle approach to LLM security: https://hubs.ly/Q03d6pT40 In this article, Neal explores: ??? Why traditional security frameworks fall short for non-deterministic LLM systems ?? How data leakage risks intensify with RAG implementations ?? The growing threat landscape of prompt injections and agentic LLMs ?? Practical security measures across the entire LLM lifecycle The guide provides actionable insights for securing LLMs during training, hardening deployments, and implementing effective runtime monitoring—all while maintaining the innovation potential these powerful tools offer. Attending RSAC this year? Learn more about our speaking sessions, or book a meeting with us to learn how we can help protect your organization from emerging threats: https://hubs.ly/Q03d6pWX0 #LLMSecurity #AISecurity #CyberSecurity #RSAC2025

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  • Protect AI转发了

    查看MLSecOps Community的组织主页

    2,595 位关注者

    New MLSecOps Podcast episode just dropped ?? Part 2 of 2 with Brian Pendleton, D.Sc.! “Rethinking AI Red Teaming: Lessons in Zero Trust and Model Protection” Audio/video/transcript here ??https://hubs.ly/Q03cDZ1g0 Last week, Brian gave us a deep dive into AI adoption and security must-haves. Now, we’re picking up the conversation with an even bolder look at AI red teaming, pitfalls of labeling everything as “red vs. blue,” and distinctions to consider between safety, privacy, and security...plus a whole lot more. Once again, big thanks to Brian for sharing your expertise and hot takes! Let us know your thoughts on the episode in the comments below :) #AIRedTeaming #ZeroTrust #AISecurity #MLSecOps #ProtectAI

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  • 查看Protect AI的组织主页

    17,664 位关注者

    ?? Join Protect AI's CISO, Diana Kelley, as she explores #GenAI security foundations in a session at this year's #RSAC Conference: Principles of GenAI Security: Foundations for Building Security In. In this session, she will cover: ??? Unique attack surfaces and vulnerabilities in GenAI systems ??? How traditional security principles evolve in the GenAI landscape ??? Practical risk management techniques for agentic AI ??? Architectural deployment considerations ??? Implementing safeguards for GenAI in production environments Attending RSAC this year? Learn more about our speaking sessions, or book a meeting with us to learn how we can help protect your organization from emerging threats: https://hubs.ly/Q03cB0dz0 #GenAISecurity #RSAC #RSAC2025 #AISecurity #Cybersecurity

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  • 查看Protect AI的组织主页

    17,664 位关注者

    Traditional security architectures struggle with today's data velocity and volume, creating a "yawning chasm" of security challenges. In this conversation, Zoe Hillenmeyer, Chief Marketing Officer at Protect AI, sits down with Jesse Scott, Global Head of Cybersecurity at Databricks, to discuss Databricks and Protect AI's partnership and how it's addressing the critical need for AI security in enterprise environments. Jesse shares his journey from NATO to Databricks and explains how the company's data intelligence platform is uniquely positioned to handle the explosive growth of data (reaching 200 zettabytes this year) while enabling secure AI development. The discussion explores the challenges of moving AI from labs to production environments and introduces Databricks' newly launched AI Security Framework 2.0 and integration with Protect AI's Recon. ?? Watch the full episode: https://lnkd.in/gi4xuqb6 Ready to secure your AI? Learn more about the Protect AI x Databricks partnership and start securing your AI workloads today: https://lnkd.in/gzQ_Y5vd #AISecurity #DataSecurity #DASF #CyberSecurity #MLSecurity #GenerativeAI #AITesting #RedTeaming #LLMSecurity #AgenticAI #AIRisk

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