LLMSec.AI: EU AI Act compliance for chatbots

How Large Language Models (LLMs) Mishandle Sensitive Data and How to Protect It While LLMs might increase  efficiency, they can also mishandle sensitive data without proper guardrails in place. Key risks factor include: 1. Training Data Leaks: LLMs have the ability to retain and leak private or sensitive information from training datasets. 2. Prompt Injection: Special prompts are used by attackers to confuse models into exposing sensitive data. 3. Compliance & Trust Risks: Exposure of data may result in penalties, problems with compliance, and a decline in customer confidence. Protecto Vault provides automated AI guardrails that safeguard confidential data at every stage of the AI lifecycle, avoiding leaks while enhancing productivity. 🔐 Secure your AI with Protecto #AI #LLM #Protecto #AIGuardrails #DataPrivacy #Compliance

What is EthicAIRegistry? EthicAIRegistry is the “DMV for AI”: a global compliance platform making AI systems safe, fair, and trustworthy. Just like cars need registration and inspection, EthicAIRegistry ensures every AI is registered, certified, and monitored before real-world deployment. How It Works • Upload & Register: Developers submit AI systems. Key details like purpose, datasets, risks, and intended use are logged. • Compliance Analysis: EthicAIRegistry uses advanced AI/ML tools to test systems against global regulations (EU AI Act, U.S. AI Bill, and more). Risks—bias, discrimination, safety—are flagged. • Certification & Trust Badge: Compliant systems earn the EthicAI Seal of Compliance, a badge trusted by businesses and users. Certifications include initial approval and scheduled renewals. • Continuous Monitoring: EthicAIRegistry tracks AI performance and risks over time. If compliance issues arise, the trust badge is suspended until resolved. https://lnkd.in/g35CUrY4

Shadow AI is the new Shadow IT 🚨 54% of employees already use unauthorized AI tools — and nearly half would continue even if banned. Think of it like the old days of USB sticks: convenient, fast, but a huge risk for data loss and leaks. Shadow AI works the same way — employees adopt it because it solves problems quickly, but outside IT control it creates major vulnerabilities. ⚠️ The risks include: 🔸 Data leaving secure company IT 🔸 Compliance and GDPR violations 🔸 Loss of knowledge and control The answer isn’t bans. It’s transparency, governance, and providing secure alternatives. In our new blog post, we explore: 🔹 Why Shadow AI is spreading so quickly 🔹 The hidden risks behind “official” AI tools 🔹 How organizations can reduce Shadow AI risks with compliant, enterprise-ready platforms ➡️ 🔗 https://lnkd.in/exRGsWFH

𝐀𝐫𝐞 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐣𝐮𝐬𝐭 𝐰𝐨𝐫𝐤𝐬 𝐨𝐫 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐛𝐞 𝐭𝐫𝐮𝐬𝐭𝐞𝐝 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐰𝐨𝐫𝐥𝐝? 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐭𝐚𝐥𝐤𝐬 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐚𝐭 𝐀𝐈 𝐜𝐚𝐧 𝐝𝐨. 𝐁𝐮𝐭 𝐡𝐞𝐫𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐧𝐨𝐛𝐨𝐝𝐲 𝐚𝐬𝐤𝐬: 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐬𝐮𝐫𝐞 𝐀𝐈 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐬𝐡𝐚𝐫𝐞 𝐭𝐡𝐞 𝐰𝐫𝐨𝐧𝐠 𝐭𝐡𝐢𝐧𝐠? 𝐖𝐡𝐚𝐭 𝐫𝐞𝐚𝐥𝐥𝐲 𝐬𝐭𝐨𝐩𝐬 𝐀𝐈 𝐟𝐫𝐨𝐦 𝐥𝐞𝐚𝐤𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐬𝐞𝐜𝐫𝐞𝐭𝐬? That is where #AIGuardrails come in. Think of them as the safety layer that keeps AI systems ethical, accurate, and secure. 𝐖𝐡𝐲 𝐆𝐮𝐚𝐫𝐝𝐫𝐚𝐢𝐥𝐬 𝐌𝐚𝐭𝐭𝐞rs: - Protect sensitive data from being exposed; - Ensure AI systems follow ethical and legal rules; - Prevent misuse of information; 𝐓𝐡𝐞 𝐑𝐢𝐬𝐤𝐬 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐆𝐮𝐚𝐫𝐝𝐫𝐚𝐢𝐥𝐬: - Privacy violations and data leakage; - Unsafe or harmful content; - Spreading biased or misleading outputs; 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬: - Regular monitoring and audits; - Multi-layered verification processes; - Involving ethical experts in design; 𝐇𝐨𝐰 𝐆𝐮𝐚𝐫𝐝𝐫𝐚𝐢𝐥𝐬 𝐖𝐨𝐫𝐤 𝐢𝐧 𝐚𝐧 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦: 1. Input Validation → checks incoming data. 2. Safety Filter → screens risky inputs. 3. PLL Detector → spots sensitive or private data. 4. Ethical Validator → applies ethical rules. 5. Content Verifier → ensures format and accuracy. 6. Monitoring System → tracks agent performance. 7. Specialized Agents (Research, Analysis, Validation) → provide expert checks. 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭s: AI that not only answers but does so safely, responsibly, and without leaking your secrets. The next frontier of #AIadoption is not just about better models. It is about #trustworthyAI systems built on strong guardrails.

🚨 Another AI cautionary tale 🚨 Have you heard of AI note takers being #HACKED here is an example of one of the many AI tools (SPAMGPT and AI Note takers) that I was just made aware of We talk about Security -MSP's need AI Security for their customers Otter.ai is facing a lawsuit for how its Notetaker bot joined Zoom, Google Meet, and Teams calls. 👉 The allegation? Recordings captured without all-party consent. Transcripts allegedly used to train AI models without telling participants. Hosts gave permission, but other attendees had no idea their data was being stored and analyzed. This is a reminder for MSPs and business leaders: 🔒 Shadow IT & AI risks are real ⚖️ Consent & governance can’t be optional 💡 Data handling transparency is no longer “nice to have” Your clients are asking: Who is watching their data? With Produce8, you can give them clarity, compliance, and confidence. #AIAdoption#AISecurity#ShadowIT#AIRisks#DataPrivacy#MSP#Produce8 #DigitalWorkAnalytics#MIP

Zero trust sounds paranoid until your AI agent starts making decisions you never taught it. Then verification becomes survival. Traditional security models are failing. AI agents authenticate hundreds of times per hour. They switch tasks in milliseconds. They develop behaviors creators never anticipated. This isn't a human problem anymore. The solution? Dynamic authorization that adapts in real-time: 🔐 Attribute-based access control that evaluates context 🎫 Digital passports with behavioral history 📊 Continuous monitoring for anomalous behavior ⚡ Graceful degradation when trust levels drop Companies mastering AI authorization gain competitive advantages: •Faster AI deployment •Better risk management •Stronger compliance postures •Foundation for autonomous systems at scale As AI agents increasingly outnumber human users, effective authorization isn't a future consideration. It's a present necessity. The question isn't whether your AI will act unexpectedly. It's whether you'll be ready when it does. How are you preparing for AI authorization challenges in your organization? #AIAuthorization #ZeroTrust #AIGovernance 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/dDwrC2zX

Most companies treat AI agents like fancy employees. They give them badges and hope for the best. The agents are already evolving. Traditional security models can't keep up. AI agents authenticate hundreds of times per hour. They switch tasks in milliseconds. They develop behaviors their creators never imagined. This isn't like managing human employees anymore. The solution? Zero trust architecture with attribute-based access control (ABAC). Here's what changes: 🔐 Dynamic permissions based on real-time context 🔐 JSON Web Tokens as "digital passports" with behavioral history 🔐 Continuous monitoring for anomalous behavior 🔐 Graceful degradation when trust levels drop Think of it as an "AI Agent Passport" system. It doesn't just verify what an agent did. It tracks how it operated and whether it followed approved methods. Companies getting this right now gain massive advantages: •Faster AI deployment •Better risk management •Stronger compliance postures •Head start on emerging regulations AI agents already outnumber human users in many organizations. They're making business-critical decisions every day. Effective authorization isn't a future consideration. It's a present necessity. How is your organization preparing for autonomous AI security? #AIAuthorization #ZeroTrust #AIGovernance 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/drrDh3rr

Zero trust sounds paranoid until your AI agent starts making decisions you never taught it. Then verification becomes survival. Traditional security models are failing. AI agents authenticate hundreds of times per hour. They switch tasks in milliseconds. They develop behaviors creators never anticipated. This isn't a human problem anymore. The solution? Dynamic authorization that adapts in real-time: 🔐 Attribute-based access control that evaluates context 🎫 Digital passports with behavioral history 📊 Continuous monitoring for anomalous behavior ⚡ Graceful degradation when trust levels drop Companies mastering AI authorization gain competitive advantages: •Faster AI deployment •Better risk management •Stronger compliance postures •Foundation for autonomous systems at scale As AI agents increasingly outnumber human users, effective authorization isn't a future consideration. It's a present necessity. The question isn't whether your AI will act unexpectedly. It's whether you'll be ready when it does. How are you preparing for AI authorization challenges in your organization? #AIAuthorization #ZeroTrust #AIGovernance 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/g-etpuFv

🤖📄 AI Is Reshaping FOIA, Records Management & Privacy in Government Over the last few months, I have witnessed AI become more prominent in the workspace. It became very evident to me that AI is rapidly transforming how the government operate—and with that transformation comes a new set of responsibilities. FOIA, records management, and privacy aren’t just technical functions. They’re the foundation of transparency, accountability, and public trust. Here’s how AI is changing that landscape: - 🔍 FOIA: AI-generated records and decisions introduce new challenges around discoverability, explainability, and access. Agencies must ensure that algorithmic outputs are traceable and responsive to public requests. - 📁 Records Management: Traditional retention schedules weren’t built for machine-generated data. AI creates dynamic, evolving records that require new classification, preservation, and retrieval strategies. - 🛡️ Privacy: AI systems can infer, predict, and profile in ways that stretch existing privacy frameworks. Protecting personal data now means understanding how algorithms use it—not just how it’s stored. AI doesn’t reduce our obligations—it expands them. We need governance models that evolve with the technology, ensuring innovation doesn’t outpace accountability. We need to build systems that are not only smart—but also ethical, transparent, and citizen-centered. #AI #FOIA #Privacy #RecordsManagement #GovTech #DigitalTrust #PublicSectorLeadership #EthicalAI