To establish a robust #AI security framework, you’ll need: 🔵 A strategic roadmap and vision 🔵 AI literacy and awareness 🔵 Strong governance and policies 🔵 Risk management Unlock a detailed breakdown to manage #CyberRisk in this blog: https://direc.to/kFgh
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This course covers legal issues, risk management, and various ways AI can be integrated into our environment. It also covers topics to think about before accepting an AI program's terms and conditions. Just finished the course “Leveraging AI for Governance, Risk, and Compliance” by Terra Cooke! Check it out: https://lnkd.in/dNafSVke #artificialintelligenceforbusiness #governanceriskmanagementandcompliance #AI #Compliance #Risk
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I am thrilled to share that I have just completed the "Leveraging AI for Governance, Risk, and Compliance!" course on LinkedIn Learning. It was an incredibly mind-blowing learning experience, and I highly recommend it to anyone interested in artificial intelligence for business and governance risk management compliance. Check it out: https://lnkd.in/e_pzRsxK #artificialintelligenceforbusiness #governanceriskmanagementandcompliance #LinkedInLearning #ProfessionalDevelopment
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Data Analyst || Business Analyst ||Supply Chain Specialist || Author || Public Speaker || Storyteller || Entrepreneur || Co-Founder/Managing Director, African Kitchen
I Just finished learning the course - "Leveraging AI for Governance, Risk, and Compliance" #artificialintelligenceforbusiness #governanceriskmanagementandcompliance
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How to Use AI as a Security Risk Manager (I’ll keep this short as I don’t want to suddenly spam your inbox after weeks of silence.) I’ve been collaborating with Doug Gray from HumanRisks on an AI white paper these last few months, and I’m pleased to announce that it’s now published. We took a much deeper dive into the topic than in any of our previous work, conducting a thorough revi... Read the latest from Decis Intelligence https://lnkd.in/eF3y-gev
How to Use AI as a Security Risk Manager
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The National Institute of standards (#NIST) has come out with a new framework on #AI the Artificial Intelligence Risk Management Framework (AI RMF 1.0). Take a look at this link with an abstract and a link to the full framework. https://lnkd.in/ei4zAUsP |#cybersecurity
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
nist.gov
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☁️ Cloud Integration Architecture & Platform Engineering @ Healthcare industry | DevOps Academy Trainer | 15+ Certifications
The #Ai #Hype is okay. Being an early adopter of projects is commendable, and you have my full support and respect for that. Remember, never underestimate security, especially in a new frontier. No Artificial Intelligence application or service is intrinsically secure, reliable, and unhackerable. So it's crucial to prioritize security in every aspect of what you plan or build. My Advice? Start from AI Risk Management Framework, Mitre Atlas and foundation of #AISecurity. The Link Is In The First Comment 👇 #ArtificialIntelligence #SecurityAwareness #MitreAtlas
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There are different #AI #riskmanagement frameworks available, sometimes could be a little difficult to understand which is the most suitable for your case. AI risk management frameworks could be categorized in few keys areas: 𝐅𝐨𝐜𝐮𝐬 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞: ► 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐯𝐬. 𝐀𝐝𝐚𝐩𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: ● 𝑰𝑺𝑶/𝑰𝑬𝑪 23894: Aims for international consistency, providing a standardized approach to AI risk assessment, treatment, and transparency. https://lnkd.in/dF3nThkw ● 𝑵𝑰𝑺𝑻 𝑨𝑰 𝑹𝒊𝒔𝒌 𝑴𝒂𝒏𝒂𝒈𝒆𝒎𝒆𝒏𝒕 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌 (AI RMF): Emphasizes flexibility and adapts to the specific needs of an organization throughout the AI lifecycle. https://lnkd.in/dnpHptGA ► 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐯𝐬. 𝐄𝐭𝐡𝐢𝐜𝐚𝐥: ● 𝑳𝒂𝒌𝒆𝒓𝒂'𝒔 𝑨𝒑𝒑𝒓𝒐𝒂𝒄𝒉: Focuses on the specific security challenges of Large Language Models (LLMs). https://lnkd.in/d8YCPmYk ● 𝑬𝑼 𝑨𝑰 𝑨𝒄𝒕: A legal framework prioritizing ethical considerations and human rights alongside risk management. https://lnkd.in/dhmqqxFB ► 𝐏𝐫𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐯𝐞 𝐯𝐬. 𝐎𝐮𝐭𝐜𝐨𝐦𝐞-𝐛𝐚𝐬𝐞𝐝: ● 𝑴𝒄𝑲𝒊𝒏𝒔𝒆𝒚'𝒔 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌: Offers a more prescriptive approach, outlining specific steps for business risk management in AI development. https://lnkd.in/dVPfKbC2 ● 𝑴𝒐𝒔𝒕 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌𝒔 (NIST AI RMF, ISO/IEC 23894): Provide an outcome-based structure with core functions and categories for risk management but leave room for specific implementation. ► 𝐄𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭: 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐯𝐬. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧: ● 𝑴𝒐𝒔𝒕 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌𝒔: Serve as recommendations or best practices for organizations. ● 𝑬𝑼 𝑨𝑰 𝑨𝒄𝒕: A legally binding regulation with varying levels of compliance required depending on the risk level of the AI system. ► 𝐂𝐡𝐨𝐨𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: The best framework for your organization depends on your specific needs and priorities. Consider factors like: ● The type of AI system you're developing. ● The level of risk associated with your AI system. ● Your organization's size and risk management culture. In the most of the cases, furthermore regulatory requirements, it could be beneficial to use a combination of frameworks to address different aspects of AI risk management. #infosec #informationsecurity #cybersecurity #risk #regulatory #cybersec #cybersecurity #ciso #iso #cso https://lnkd.in/dCSu7RVN
AI Risk Management: Lakera’s Approach
medium.com
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Read “The AI Risk Matrix: A Strategy for Risk Mitigation“ by David Campbell on Medium:
The AI Risk Matrix: A Strategy for Risk Mitigation
generativeai.pub
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The NIST AI Risk Management Framework (AI RMF) provides a comprehensive template for managing risks associated with AI systems. Summary and key takeaways: • The AI RMF consists of four core functions: Govern, Map, Measure, and Manage. • Govern focuses on cultivating a culture of risk management within the organization. • Map involves recognizing context and identifying risks related to that context. • Measure, assess, analyze, and track identified risks. • Manage prioritizes risks and ensure they are acted upon based on projected impact. To operationalize the AI RMF effectively: 1. Adapt the framework to suit your organization's specific use cases. 2. Automate parts of the AI RMF to enable continuous risk management. 3. Partner with internal or external experts to assist with implementation. By adopting the NIST AI RMF, we can proactively mitigate security, ethical, and operational vulnerabilities throughout the AI lifecycle. #AIRiskManagement #CybersecurityLeadership #ResponsibleAI #TrustworthyAI #aisecurity #RobustIntelligence
Operationalizing the NIST AI RMF — Robust Intelligence
robustintelligence.com
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Just finished Leveraging AI for Governance, Risk, and Compliance! Check it out: https://lnkd.in/gcXDWD8p #artificialintelligenceforbusiness #governanceriskmanagementandcompliance
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