Synkriom ’s Post

Is data privacy hindering your progress? Performix has the answer! Download our whitepaper for a groundbreaking solution to secure data sharing with AI-driven PII protection. #performixbizedina #PII #data #AI #ArtificialIntelligence #USA #Business #Healthcare #Innovation #HealthcareIT #DataSharing #Security

Jim Tate outlines 6 issues with AI in healthcare. The core issue, he writes, is data privacy and security. "AI systems in healthcare heavily rely on patient data. The risk lies in the potential for data breaches and misuse. Sensitive health information is a goldmine for cybercriminals, and its exposure can lead to serious privacy violations." A less-discussed issue is the development of a dependence on AI technology and a correlating loss in human clinical skill sets. For the other 4 concerns, click here: https://ow.ly/AuEB50QocS4 #AIinHealthcare #DataSecurity

While healthcare information safety has improved, the extensive data needed to optimize AI systems introduces new challenges to patient privacy and presents new opportunities for hackers. Discover the roles legislators, data brokers, and IT security experts play in addressing these emerging risks. https://lnkd.in/dpyduTwF

Cybersecurity compliance, AI and risks - what is the state of the art? I had the privilege of participating in an incredibly insightful discussion at the Privacy Symposium last week on this very topic of paramount importance, particularly in light of the recent advancements in the tech industry and the enactment of the #AIAct. I believe we find ourselves on unsettled ground. The current European regulation of AI is missing two crucial elements: foresight and long-term vision. Why is this the case? 🔄 Unpredictable Use Cases It's fundamentally unscientific to ask someone to predict the exact use of an AI system at the time of its creation. An engineer might develop AI with a specific purpose in mind, while a businessperson might envision a completely different application. Regulating such unpredictable innovation is challenging. It's essential to foster a common pool of knowledge among European stakeholders, similar to what President Biden proposed in the US with his Executive Order. ⚡ Rapid Development and Communication Gaps We are not adequately prepared to address the challenges posed by the rapid development of AI. There's a significant communication gap between AI professionals and the general public, leading to a risk of formalism. How can individuals give informed consent if they don't fully understand what they are agreeing to? If regulation aims to protect citizens, perhaps there is a need for additional effort. Thank you to my fellow panelists for the insightful conversation. Anna Cataleta Gabriele Faggioli Martina Colasante Andrea Chittaro Andrea Rigoni Marco La Greca #PSC24 #PrivacySymposium #RSMItaly #CyberSecurity #AI

What are the issues with AI in healthcare? AI-based systems raise concerns regarding data security and privacy. Because health records are important and vulnerable, hackers often target them during data breaches. For More Info: Email: hello@otwosoft.com Website: www.otwosoft.com #AI #healthcare #aiinmedical #medicaltrend #technology #o2soft

It's almost #DataPrivacyDay! 🔏 When businesses handle sensitive information — from medical records to financial statements — unauthorized access could have devastating results. Using #AI, redaction helps organizations mitigate these risks and ensure that sensitive information remains secure. Discover how Hyperscience ensures improved #security, compliance, and efficiency for your documents >> https://lnkd.in/enZY6rRq

#CybersecurityAwarenessMonth is here! When taking #GenAI into use in your organization data leakage and user behaviour are among the top #security concerns. NROC Security can assist in making your #DigitalWorkspace AI-powered. We provide service to model company acceptable use policies & authentication into set of guardrails and insights through use-cases and policies. #AI #Compliance #Datasecurity

Using AI Tools - 7 Threats to your Confidential Information ...you should be aware of. In clinical research, healthcare and law, safeguarding the confidentiality of sensitive information is paramount. These fields handle highly confidential data, from patient records and clinical trial results to legal documents. Machine translation offers efficiency and cost benefits but also introduces risks to data privacy. Here are key threats to confidentiality: 1. Data Leakage through Third-Party Services: Sensitive information can be exposed to unauthorized parties. 2. Insufficient Encryption: Inadequate encryption can lead to data interception. 3. Inadequate Access Controls: Poor access controls can allow unauthorized access. 4. Data Retention Policies: Extended retention of your data poses risks. 5. Vulnerability to Cyber Attacks: Machine translation platforms can be targeted by cyberattacks. 6. Compliance with Regulations: Non-compliance with GDPR, HIPAA, etc., can result in data disclosures. 7. Misuse of Translated Data: Unauthorized use or distribution can breach confidentiality. Recognizing these threats helps organizations protect sensitive information. Implementing robust security measures and ensuring regulatory compliance are crucial. Machine translation offers benefits but comes with confidentiality risks. Understanding and mitigating these risks allows safe use while protecting sensitive data. https://lnkd.in/d93DSBT7 #DataSecurity #MachineTranslation #Confidentiality #Healthcare #ClinicalResearch #LegalSector #DataPrivacy #GDPR #HIPAA #CyberSecurity #InfoSec #RegulatoryCompliance

Meet PRIVATEER's technologies! Trustworthy AI Model Building PRIVATEER is responsible for developing #security #analytics using #decentralized #learning techniques, to detect #anomalies and classify threats in networks. It will combine data from multiple sources to improve detection accuracy and reduce false alarms. Furthermore, effective alarm management strategies with be developed, while findings with external sources will be integrated. It will address real-world challenges like imbalanced datasets and complex correlations, while in order to maintain #trustworthiness this task will focus on performance, fairness, and privacy protection. Make sure you also follow us on Twitter: 👉 https://lnkd.in/dWWYuv_7 and also visit our website: 👉 https://lnkd.in/dAnGV-xc #privateer #privacyfirst #security #6G #threats #landscape #SNSJU #horizoneurope

When evaluating security controls for #cloud-based #AI systems, it's critical to address several fundamental aspects to fortify your #security approach and ensure its effectiveness. Below are some essential points to consider: #DataSecurity and #Privacy: Include #Encryption, data #anonymization, and compliance with global privacy regulations such as GDPR, HIPAA, or CCPA, which might include provisions specific to AI systems. #AccessControl: Include Role-based Access Controls (RBAC), #Authentication, and #Authorization. AI Model #Security: Include Model hardening which protect AI models from adversarial attacks by using techniques like adversarial training, model robustness checks, and regular security assessments. #Threat Detection and Response: Use Anomaly Detection and automated response for security incidents.