STYRK AI

In the rapidly evolving world of artificial intelligence, striking the right balance between innovation and responsibility is crucial. Discover 7 ways your organization can navigate the balancing act while ethically building AI systems. #AIInnovation #ResponsibleAI #TechForGood #EthicalAI #Innovation #Sustainability #AI #ArtificialIntelligence

Come visit us tomorrow 10/31 at Open Data Science Conference (ODSC) West and stick around to watch us present at 2:30pm in Grand Peninsula G

?Privacy-Preserving Techniques You Should Know to Protect Data in AI ??: ?? Federated Learning: Train models on local devices without sharing sensitive data.? ?? Differential Privacy: Add noise to datasets to protect individuals.? ?? Homomorphic Encryption: Keep data encrypted during AI computations.? ??? Data Anonymization: Mask PII while maintaining the integrity of your datasets.? ?? Synthetic Data: Train on artificial data that mimics real-world conditions. Learn how to protect sensitive data in your AI models ???https://lnkd.in/gV_vRxXg #AI #Privacy #Security #Compliance #DataProtection #DataSecurity #GDPR

?Privacy-Preserving Techniques You Should Know to Protect Data in AI ??: ?? Federated Learning: Train models on local devices without sharing sensitive data.? ?? Differential Privacy: Add noise to datasets to protect individuals.? ?? Homomorphic Encryption: Keep data encrypted during AI computations.? ??? Data Anonymization: Mask PII while maintaining the integrity of your datasets.? ?? Synthetic Data: Train on artificial data that mimics real-world conditions. Learn how to protect sensitive data in your AI models ???https://lnkd.in/gV_vRxXg #AI #Privacy #Security #Compliance #DataProtection #DataSecurity #GDPR

Mitigating Risks in AI Model Deployment: Your Go-To Security Checklist ? Without a proactive risk mitigation strategy, the reliability and safety of your AI operations can be compromised - whether it’s adversarial attacks, data privacy breaches, or system vulnerabilities. Follow these essential steps to protect your AI models: ?? Assess Risks: Know your data and threats. ?? Secure Data: Clean, encrypt, and monitor it. ??? Defend: Test for attacks, use robust training. ?? Protect Privacy: Mask sensitive info, monitor data flows. ?? Secure APIs: Limit exposure, encrypt communications. Check out our comprehensive AI security checklist to stay ahead of threats and keep your models secure, reliable, and compliant??. https://lnkd.in/gcvzgB-U #AI #Security #MachineLearning #DataPrivacy #AIModel #TechInnovation #Cybersecurity

Is Your AI Model Transparent and Fair???? Here’s why explainability?and?bias mitigation in AI systems matters: ?? Explainability?ensures you know?how?and?why?your AI is making decisions. This builds?trust?and?accountability—especially important in industries like healthcare and finance. ?? Bias?can creep into models through the data, skewing outcomes and making AI less fair. Ignoring this can lead to?unethical results?and?reputational damage. Want to learn how to address these challenges? Click here: https://lnkd.in/g985Ex7i #AI #MachineLearning #Explainability #BiasInAI #EthicalAI #AIFairness #TrustworthyAI #StyrkAI

The EU AI Act, effective January 1, 2025, will introduce strict regulations for AI systems, with a focus on transparency, risk mitigation, and accountability. For enterprises, this means:? 1?? High-risk AI systems, especially in healthcare, finance, and infrastructure, will face increased scrutiny.? 2?? Comprehensive documentation and mandatory conformity assessments are required for compliance.? 3?? Fines for non-compliance can be severe—up to 7% of global annual turnover. The EU AI Act is a regulatory game-changer. Click the link below to learn more about what this means for your business ?? https://lnkd.in/g5NpsXtH #AIRegulations #AICompliance #EUAIACT #AIModelSecurity #AITrust #AIGovernance

??Limited Time Free Trial: Strengthen AI Security & Compliance with Styrk Deploying AI responsibly means addressing key challenges like security, bias, and privacy. For a limited time, take advantage of our free trial and gain access to our solutions that: ??? Prevent Threats: Detect and mitigate adversarial attacks.? ?? Reduce Bias: Ensure fairness by actively monitoring models for bias.? ?? Secure Sensitive Data: Protect personal information and ensure regulatory compliance. Explore how Styrk helps you deploy AI systems with greater confidence by keeping your data safe and your models secure and unbiased. ?? Sign up here to start your free trial!: https://lnkd.in/gSNAp24h #AIsecurity #DataPrivacy #BiasInAI #TrustworthyAI #MachineLearning #StyrkAI

With the surge in generative AI adoption, protecting sensitive customer data has never been more critical. In our new blog, Making LLMs Secure and Private, we explore the essential security measures businesses need to deploy when using AI tools like ChatGPT, Llama, and Gemini. Learn how Styrk’s solutions help ?? block prompt injections, ?? monitor compliance, ??? protect data privacy, and ?? Filter out gibberish text Click the link below to read the full post ?? https://lnkd.in/gSFGru-A #StyrkAI #AI #GenerativeAI #LLMSecurity #DataPrivacy #Cybersecurity

????Are your AI models truly secure? Adversarial attacks are a growing threat to AI systems - from altering training data to manipulating inputs in real-time. Our latest blog explores the most common adversarial techniques hackers use and how to keep your AI models safe from threats like Noise Manipulation, Adversarial Inputs, Data Poisoning, and Model Extraction. ?? Stay ahead of attackers with proactive defenses. Read the full post now! ?? https://lnkd.in/g-czuEzr #AI #AISecurity #AdversarialAttacks #AIProtection #StyrkAI