What We're Missing in LLM Data Security 🚨 Pain Points We're Ignoring: - Basic PII masking ≠ real protection—LLMs memorize & leak sensitive data anyway - Context inference—models connect dots to reveal identities even from "anonymous" data - Prompt injection attacks bypass all traditional security measures - Training data poisoning implants harmful content directly into models - Output filtering deficiencies enable leakage of sensitive information in responses The Real Impact: - GDPR/HIPAA violations → massive fines - Identity theft & fraud stemming from compromised PII - Damage to reputation and erosion of customer trust - Business email compromise resulting in financial setbacks Bottom Line: Traditional cybersecurity wasn't built for LLMs. We need zero-trust data pipelines, not just surface-level fixes. #DataSecurity #LLM #AI #Privacy #CyberSecurity
LLM Data Security: The Unaddressed Risks and Consequences
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Securing enterprise AI requires understanding that a jailbreak is a proper security incident that's far worse than a little bug! When an AI model is "jailbroken," it's not harmless. The transformation is immediate! The enterpise risk is real and significant. A compliant digital assistant can become an agent generating prohibited content, leaking sensitive PII, or even providing instructions for malicious acts. For businesses, this translates into direct threats: • Reputational damage • Generation of harmful misinformation • Critical security breaches • Exfiltration of proprietary data • Operational risks • Subversion of automated decision-making in finance and HR #AI #EnterpriseAI #RiskManagement #Cybersecurity #AIEthics
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Imagine risking your company's reputation and millions in fines because your data governance failed at the worst moment. 😱 In today’s landscape, businesses grapple with an overwhelming maze of evolving privacy laws and skyrocketing data volumes, making compliance a daunting challenge. I faced this when managing cross-border data transfers: inconsistent standards and soaring data complexity threatened to delay critical audits and expose us to fines. 🚧 By implementing a risk-based data governance framework with real-time AI monitoring, we harmonized privacy compliance across jurisdictions, enhanced vendor oversight, and minimized data risks. This approach not only ensured regulatory adherence but also built stronger consumer trust and future-proofed operations. 🚀 What innovative strategies are you deploying to turn your data privacy challenges into competitive advantages? 💡 #DataGovernance #PrivacyCompliance #AIforPrivacy #CyberSecurity #TrustAndTransparency #DataProtection #FutureProof #RiskManagement ----------------------------------------
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TOP SECURITY PRIORITIES FOR LEGAL FIRMS IN 2025 & THE IMPACT OF AI DATE Tuesday 2nd December 2025 TIME 10.00am – 1.00pm Light refreshments from 9.30am COST £100 REGISTRATION https://ow.ly/tTSB50XmmTx VENUE Institute of Professional Legal Studies Queen’s University Belfast, 10 Lennoxvale, Belfast, BT9 5BY CPD 3 CPD hours will be awarded for attendance at this seminar. In an increasingly complex digital landscape, legal firms must prioritise robust security measures to safeguard sensitive client data and maintain trust. This seminar will address the most pressing security imperatives for 2025, including effective data protection strategies, the responsible use of artificial intelligence, the adoption of Zero Trust frameworks, workforce training to mitigate human error, and comprehensive incident response planning. Join us to gain critical insights and practical guidance tailored to the unique challenges faced by the legal sector. Topics include: • Protect Client Data Encrypt, classify, and tightly control access. • Use AI Wisely Leverage AI for defence but guard against AI-driven attacks. • Adopt Zero Trust Verify every access request — no exceptions. • Train Your Team Human error drives 95% of breaches. Awareness is key. • Be Incident-Ready Plan, simulate, and recover fast to protect your firm. #LegalSecurity #AIEthics #CyberSecurity #LegalTech #LegalFirms #BelfastEvents
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TOP SECURITY PRIORITIES FOR LEGAL FIRMS IN 2025 & THE IMPACT OF AI DATE Tuesday 2nd December 2025 TIME 10.00am – 1.00pm Light refreshments from 9.30am COST £100 REGISTRATION https://ow.ly/tTSB50XmmTx VENUE Institute of Professional Legal Studies Queen’s University Belfast, 10 Lennoxvale, Belfast, BT9 5BY CPD 3 CPD hours will be awarded for attendance at this seminar. In an increasingly complex digital landscape, legal firms must prioritise robust security measures to safeguard sensitive client data and maintain trust. This seminar will address the most pressing security imperatives for 2025, including effective data protection strategies, the responsible use of artificial intelligence, the adoption of Zero Trust frameworks, workforce training to mitigate human error, and comprehensive incident response planning. Join us to gain critical insights and practical guidance tailored to the unique challenges faced by the legal sector. Topics include: • Protect Client Data Encrypt, classify, and tightly control access. • Use AI Wisely Leverage AI for defence but guard against AI-driven attacks. • Adopt Zero Trust Verify every access request — no exceptions. • Train Your Team Human error drives 95% of breaches. Awareness is key. • Be Incident-Ready Plan, simulate, and recover fast to protect your firm. #LegalSecurity #AIEthics #CyberSecurity #LegalTech #LegalFirms #BelfastEvents
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Managed File Transfer (MFT) systems were designed to safeguard sensitive data with encryption, access controls, and logs that made leaks almost impossible. Until someone uploads that same data to ChatGPT. In seconds, every safeguard disappears. According to the new Kiteworks 2025 Data Security and Compliance Risk: MFT Survey Report: ✅ 26% of orgs have already experienced AI-related incidents ✅ 30% let employees use AI tools with MFT data, no controls ✅ 12% haven’t even assessed AI-related data risks These aren’t tech failures. They’re behavioral blind spots. Files protected by millions in infrastructure are now leaving secure systems via AI prompts, permanently untraceable. Once data hits a model, you can’t: ❌ Delete it ❌ Audit it ❌ Prove compliance (GDPR, HIPAA, CMMC...) 🔗 Link to the Substack in the comments. #DataSecurity #AIrisks #MFT #CISO #Cybersecurity #Infosec
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DEEP FAKE: WHEN TECHNOLOGY STARTS TO IMITATE REALITY In today’s digital world, seeing is no longer believing. Deepfakes use AI and machine learning to create realistic fake videos, images, or voices, often mimicking real people with scary accuracy. While deepfake technology can be used for entertainment and education, it’s increasingly being misused for: ⚠️ Identity theft ⚠️ Political misinformation ⚠️ Corporate fraud and scams ⚠️ Reputation damage In cybersecurity, deepfakes are becoming a new form of social engineering, tricking people into trusting what they see or hear. Imagine receiving a video call from your “CEO” asking for urgent funds transfer… and it turns out to be AI-generated. HOW TO STAY SAFE: ✅ Verify before you trust — always double-check sources and video authenticity. ✅ Use multi-factor authentication — it protects you even if someone fakes your identity. ✅ Stay informed — awareness is your best defense. Deepfakes remind us that cybersecurity isn’t just about systems, it’s about people, trust, and truth. #CyberSecurity #Deepfake #CyberProf
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SDG’s October Cyber Threat Advisory surfaces a clear pattern in recent incidents: ➡️ AI is accelerating fraud, expanding attack paths, and weakening trust boundaries across systems once considered mature. 🚨 Synthetic identities trained to pass onboarding and credit checks 🚨 AI agents exposing CRM data through prompt manipulation and insecure integrations 🚨 Developers losing visibility as AI reconnaissance targets build pipelines and credentials 🚨 Employees feeding sensitive data into public copilots, creating long-term compliance gaps Ransomware, credential theft, and supply-chain compromise are now overlapping events within the same ecosystem of automation and access risk. The focus ahead is precision — correlating behaviors, refining trust models, and reading intent before impact. 🔗 Read the Advisory now: https://hubs.li/Q03P74v60 #CyberThreatAdvisory #SyntheticIdentityFraud #AIFraud #IdentitySecurity #SDGC
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AI is making cybersecurity harder — but not impossible. Scams are getting smarter, messages sound real, and even familiar logos can be faked. This week’s tips: Verify unexpected calls or requests — pause before you act. Confirm invoices directly — never pay from email instructions alone. Set clear AI-use rules — know what data can and can’t be shared. Small steps like these can stop big problems before they start. #CyberSecurityAwarenessMonth #AITips #SmallBusinessSecurity #CMITSolutions #HudsonValley #CyberSmart #cmitsolutions #westchesterny #putnamcountyny #somersny
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🔐 When AI Becomes the Hacker’s New Weapon — Are Your Firm’s Defenses Ready? As artificial intelligence evolves, so do cybercriminals. What used to be phishing emails are now AI-generated attacks that mimic real clients, invoices, and even your firm’s communication tone. One wrong click — and your client’s confidential data is gone. CPAs can’t afford to treat cybersecurity as an IT issue anymore. It’s a business survival issue. Here’s how to stay ahead: ✅ Adopt zero-trust policies: Always verify access, even from trusted sources. ✅ Encrypt client data: Whether stored or shared, encryption is non-negotiable. ✅ Train your team: Human error is still the weakest link — invest in cybersecurity awareness. ✅ Use AI for good: Leverage intelligent threat detection to spot unusual patterns early. ✅ Regular audits: Test your defenses just like you audit financial statements. In 2025, trust isn’t just about numbers — it’s about data integrity. Firms that secure client information will win the future. #CyberSecurity #AccountingFirms #CPAs #DataProtection #AI #Fintech #KenyaAccounting #DigitalTransformation #RiskManagement #FutureOfAccounting
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Data Protection and AI: - AI can strengthen cybersecurity through encryption and access control; however, the massive collection of data, lack of transparency, biases, and the risk of leaks through uses not controlled by employees (Shadow AI) undermine this reality. It is imperative for organizations to comply with the AI Act and other standards such as the GDPR. Risks of AI for data protection include: - Massive collection and use - Lack of transparency - Bias - Leaks and Shadow AI - Potential errors Despite this, there are benefits such as: - Cybersecurity: more proactive threat detection (such as phishing) and automated responses. - Encryption and access control: improved encryption methods and dynamic management of access permissions to sensitive data. - Data masking: masking sensitive data to facilitate testing without compromising confidentiality. Thanks to Bassim Hassan MBCI/CDMP/CIPM/CISSP/CISM/GRCP/TOGAF, Adel Abdel Moneim MBA,CISSP,NCSP,CISM,CRISC,SCCISP CGEIT,CCISO,SABSA,CIPT,CCSP,COBIT,TOGAF,CDPSE,CISA and PECB
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