Freeday has achieved recertification for ISO 27001 and NEN 7510. This reinforces our commitment to secure and compliant AI solutions in Europe and the U.S. These certifications reflect our company's strong commitment to security, data protection, and compliance. ISO 27001 validates our disciplined, risk-based information security climate. NEN 7510 ensures compliance to exacting demands for sensitive healthcare data. For your organisation, this implies: • Regulated, open data processes. • Guaranteed maximum confidentiality and availability • Security designed into our infrastructure, not something bolted on after • Faith in integrating AI into customer-facing processes For companies with AI adoption to thrive, compliance is not an option. It is the foundation of trust, scalability, and future prosperity. Need compliant AI solutions that meet European regulatory needs? Get in touch!
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🔒 Major milestone achieved: Civic has earned SOC 2 Type 1 compliance When companies trust us with their AI implementations, they're sharing their most sensitive assets – proprietary algorithms, customer data, strategic insights, and the intellectual property that defines their competitive advantage. Our SOC 2 Type 1 attestation, established by the American Institute of Certified Public Accountants (AICPA), confirms our security controls are suitably designed to meet rigorous industry standards. The audit covered three critical trust service criteria: security, availability, and confidentiality. What this means in practice: → Independent verification of our data handling practices → Confirmed access controls and system monitoring capabilities → Validated incident response procedures → Comprehensive security integration across our entire business This achievement reflects months of dedicated infrastructure strengthening, process refinement, and enhanced security training throughout our organization. The timing aligns perfectly with increasing regulatory scrutiny around AI and data privacy – giving our clients the documentation they need for their own compliance requirements. We're already preparing for our SOC 2 Type 2 audit to demonstrate consistent security controls over time. For organizations with the most stringent security requirements navigating AI transformation, this compliance milestone strengthens our ability to serve as a trusted partner. Learn more about our security practices and compliance journey: https://lnkd.in/gGuB823g #SOC2 #AICompliance #DataSecurity #TrustAndSafety
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Implementing a secure repository isn't a straightforward process. You face real hurdles: constant vigilance against cyberattacks, setting granular permission settings for controlled access, and managing complex audit trails for accountability. Plus, adhering to regulations like GDPR or HIPAA adds another layer of complexity. Boundeal VDR stands out as a top choice for your secure repository, combining safety, intelligence, and efficiency. 🧠 Advanced AI Capabilities: Our AI assistant simplifies complex processes like creating permission groups, summarizing documents, or analyzing cash flow. 🛡️ Cutting-Edge Security: We prioritize safety with encryption, anomaly detection, and compliance tools. 📈 Scalable Functionality: Boundeal VDR scales effortlessly from small teams to enterprise-level operations. ✍️ Integrated Digital Signatures: Seal deals faster directly within the platform, ensuring efficiency and accuracy. Boundeal VDR takes the concept of a secure repository further. Transform how you manage sensitive information and succeed confidently. 👉 Get early access! https://lnkd.in/dS2z5A2a
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🚨 Security teams waste 67% of audit preparation time on manual data collection and reconciliation tasks, but AI-powered automation is reshaping compliance efficiency across enterprise environments. 🤖 Qualys introduces Agent Chang, an agentic AI system that automates the complex audit workflow from evidence collection to framework mapping. Early adopters report 78% reduction in audit preparation time and 89% improvement in control traceability accuracy. 🔍 The traditional audit process creates significant operational burden - teams typically spend 40+ hours per quarter manually extracting logs from SIEM platforms, vulnerability scanners, and access management systems. Agent Chang eliminates this friction by automatically correlating security data across multiple compliance frameworks including SOC 2, ISO 27001, and NIST. 📊 Key automation capabilities deliver measurable results: automated evidence collection reduces human error rates by 92%, while intelligent control mapping accelerates framework alignment by 5x compared to manual processes. The system maintains continuous compliance posture monitoring, ensuring audit readiness becomes a real-time capability rather than a quarterly scramble. 💡 Enterprise security leaders implementing agentic AI for compliance report 34% faster audit cycles and 56% reduction in auditor queries. This technological shift transforms audit preparation from reactive burden into proactive security advantage. #InfoSec #Compliance #GRC #SIEM #AI #SecurityOperations #RiskManagement #DigitalTransformation source: https://lnkd.in/dBV9nH4A
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How can SOC2 and AI play well with each other? As AI systems become part of core business operations, security and compliance teams are asking the same question: How do we evaluate AI risk within our existing frameworks? One powerful approach is mapping AI governance to the Trust Services Criteria (TSC)—the foundation of SOC2. When interpreted through an AI lens, the TSC categories provide more coverage than most realize: 🔵 Security: Still the foundation, but with AI-specific controls. Think MFA for model access, encryption for training data and parameters, intrusion detection for API endpoints, and periodic audits of your ML pipelines. 🔵 Processing Integrity: This one’s taking center stage for AI. It ensures processing is complete, valid, and accurate. This directly targets risks like hallucinations, data poisoning, and bias. The key is continuous monitoring and clear remediation protocols when outputs don’t match expectations. 🔵 Privacy & Confidentiality: These criteria are crucial for protecting data across the AI lifecycle (training to deployment). Organizations must prove responsible data practices: encryption, minimization, and disposal. 🔵 Availability: As more businesses rely on AI-driven services, uptime and performance monitoring are non-negotiable. Redundancy, failover plans, and resilience testing now extend to AI models. The takeaway: AI governance doesn’t need an entirely new rulebook. Start by expanding the controls you already know and align them to your AI risks. #AIGovernance #AISecurity #SOC2 #InfoSec #TrustServicesCriteria #DataCompliance #AICompliance #AuditAndAssurance #CISOs #CloudSecurity
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ISO 27001 vs ISO 42001: Governance in a New Era of Trust For years, ISO 27001 has been the global benchmark for protecting information, managing confidentiality, integrity, and availability through structured controls and continuous improvement. But as technology evolves, so do our risks. The conversation is shifting from “How do we secure data?” to “How do we govern intelligence?” That is where ISO 42001 comes in. It is the world’s first Artificial Intelligence Management System standard. It builds on the familiar ISO framework and focuses on ensuring that AI systems are ethical, explainable, transparent, and responsibly managed throughout their lifecycle. If ISO 27001 secures information, ISO 42001 governs intelligence. Together, they create a bridge between trust in data and trust in AI, which every forward-thinking organization will soon need. ✅ ISO 27001 protects the data that trains AI. ✅ ISO 42001 ensures that AI behaves as designed. ✅ Together they create a complete governance layer for the digital enterprise of tomorrow. As someone passionate about IT risk and assurance, I see this not as a compliance checkbox but as a strategic maturity shift from security-driven to trust-driven governance. The real question now is not “Should we adopt ISO 42001?” It is “When will AI governance become as essential as information security?” #ISO27001 #ISO42001 #AIGovernance #RiskManagement #InformationSecurity #Compliance #SynergyWorksSolutions
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With 300M+ users, Microsoft 365 powers the world’s enterprises. But that scale also makes it one of the largest data-exposure surfaces today. Cyera’s latest analysis of global M365 environments reveals 10 major risks CISOs must keep on their radar this year 👇 1️⃣ Sensitive files missing labels left unencrypted and freely shared 2️⃣ PHI stored in personal OneDrives outside governance controls 3️⃣ External sharing without explicit permission exposing IP 4️⃣ Plain-text SSNs identity-theft goldmine 5️⃣ Unprotected cardholder data PCI DSS violations 6️⃣ Org-wide access on sensitive files breaking least-privilege 7️⃣ Stale accounts still active easy entry for attackers 8️⃣ “Ghost” drives from old teams forgotten but full of sensitive info 9️⃣ No retention/deletion policies expanding the risk surface 🔟 Poor access control & classification causing regulatory non-compliance 👉 The real problem? These aren’t zero-days. They’re misconfigurations and missing guardrails hiding in plain sight. Fixing them requires better visibility, automated labeling, and strict access hygiene. In 2025, governance is the new perimeter & AI governance, ethics and guardrails are no longer optional. They’re what keep AI safe, fair, and trustworthy. That’s exactly what we’re building with QAI ensuring AI moves fast, solves big problems, and stays on the right side of trust.
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“Do not trust commercial AI integrations.” That’s not me talking — that’s the conclusion of leading privacy experts. As Prof. Anna Maria Mandalari at UCL recently put it: “𝑾𝒉𝒊𝒍𝒆 𝑨𝑰 𝒕𝒐𝒐𝒍𝒔 𝒐𝒇𝒇𝒆𝒓 𝒄𝒐𝒏𝒗𝒆𝒏𝒊𝒆𝒏𝒄𝒆, 𝒐𝒖𝒓 𝒇𝒊𝒏𝒅𝒊𝒏𝒈𝒔 𝒔𝒉𝒐𝒘 𝒕𝒉𝒆𝒚 𝒐𝒇𝒕𝒆𝒏 𝒅𝒐 𝒔𝒐 𝒂𝒕 𝒕𝒉𝒆 𝒄𝒐𝒔𝒕 𝒐𝒇 𝒖𝒔𝒆𝒓 𝒑𝒓𝒊𝒗𝒂𝒄𝒚, 𝒂𝒏𝒅 𝒔𝒐𝒎𝒆𝒕𝒊𝒎𝒆𝒔 𝒊𝒏 𝒃𝒓𝒆𝒂𝒄𝒉 𝒐𝒇 𝒑𝒓𝒊𝒗𝒂𝒄𝒚 𝒍𝒆𝒈𝒊𝒔𝒍𝒂𝒕𝒊𝒐𝒏 𝒐𝒓 𝒕𝒉𝒆 𝒄𝒐𝒎𝒑𝒂𝒏𝒚’𝒔 𝒐𝒘𝒏 𝒕𝒆𝒓𝒎𝒔 𝒐𝒇 𝒔𝒆𝒓𝒗𝒊𝒄𝒆. 𝑻𝒉𝒆𝒓𝒆’𝒔 𝒏𝒐 𝒘𝒂𝒚 𝒐𝒇 𝒌𝒏𝒐𝒘𝒊𝒏𝒈 𝒘𝒉𝒂𝒕’𝒔 𝒉𝒂𝒑𝒑𝒆𝒏𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝒚𝒐𝒖𝒓 𝒅𝒂𝒕𝒂 𝒐𝒏𝒄𝒆 𝒊𝒕 𝒉𝒂𝒔 𝒃𝒆𝒆𝒏 𝒈𝒂𝒕𝒉𝒆𝒓𝒆𝒅.” This is exactly why Kahua takes a different path. Other software vendors bolt on commercial, off-the-shelf AI. No matter what their terms and conditions say, those tools are built on systems that expose customer data — and history shows they cannot guarantee privacy or security. This opens the door to leaks, theft, and breaches. Kahua builds AI differently. Every capability we deliver is developed inside the same FedRAMP, CMMC, and Level 2 Target of Assurance (UK) standards that government agencies and defense contractors demand. Our customers get AI innovation without compromising the confidentiality of their project data. Your data is too important to risk with off-the-shelf AI. With Kahua, you don’t have to choose between intelligence and security. I'll be posting more on this in the weeks to come. Tell your friends! And let me know if you need help or advice. #ConstructionTechnology #PMIS #AI #DataSecurity #FedRAMP #CMMC #enablinginnovation #UK #UKConstruction #TOA
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The next phase of AI and cybersecurity compliance is convergence The new era of regulation — from the EU AI Act to NIS2 and ISO/IEC 42001 — is no longer about single-framework checklists. It’s about interconnected accountability: legal, technical, and operational teams working under one continuous compliance model. That’s where SelfComply.ai comes in. While most compliance tools stop at documentation or policy templates, we automate the hard part — risk evidence collection, technical posture analysis, and multi-standard alignment. Our Risk Analyzer adapts to each regulation, generating machine-readable audit outputs and quantified risk benchmarks across AI governance, security, and data protection domains. Unlike static GRC systems, SelfComply.ai is designed for living compliance: Cross-framework analysis covering EU AI Act, ISO/IEC 42001, and NIS2 from a single interface. Continuous monitoring of live systems to detect control gaps before audits do. Executive-ready compliance reports — actionable, traceable, and comparable across frameworks. Integration flexibility — connect your existing tooling, from SDLC and vulnerability scanners to policy repositories. Compliance shouldn’t be a static PDF or a one-off audit. It should be a measurable state of operational readiness — continuously updated, consistently defensible. That’s the future we’re building at SelfComply.ai. Learn more: https://www.selfcomply.ai/
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📢 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗠𝗲𝗲𝘁𝘀 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: 𝗜𝗦𝗢/𝗜𝗘𝗖 𝟮𝟳𝟳𝟬𝟭:𝟮𝟬𝟮𝟱 The publication of ISO/IEC 27701:2025 is a pivotal moment for privacy, trust, and responsible AI in digital health. The new standard represents a shift in how organizations build accountability and protect the data that fuels innovation. ↳ 𝗔 𝗦𝘁𝗮𝗻𝗱𝗮𝗹𝗼𝗻𝗲 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺 ISO 27701 becomes an independent standard. This allows healthcare providers, startups, and data-driven enterprises to become certified in privacy management without first holding ISO 27001. It marks real progress in agility, accessibility, and maturity of privacy operations. ↳ 𝗔 𝗕𝗿𝗶𝗱𝗴𝗲 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 𝗣𝗿𝗶𝘃𝗮𝗰𝘆, 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗔𝗜 ISO 27701:2025 connects directly with ISO 42001 (AI Management Systems) and aligns with the EU AI Act (2024/1689). Together, they create a coherent governance ecosystem that brings: • ISO 27001 → Information Security • ISO 27701 → Privacy Management • ISO 42001 → AI Governance For digital health organizations, this triad forms the foundation of responsible data ecosystems that protect both patients and algorithms. In digital health, where AI models learn from sensitive clinical data, ISO 27701:2025 provides practical controls to manage risk: • Clear roles for data controllers and processors • Safeguards for data minimization and re-identification • Privacy impact assessments for AI pipelines • Vendor and cross-border accountability mechanisms At EthicaLabs, we help organizations align their Privacy, AI, and Security Management Systems within one ethical and operational framework. This ensures readiness for ISO 27701:2025, ISO 42001, and the EU AI Act. The future of tech depends not only on how intelligently we use data but on how responsibly we protect it. Link to the standard → https://dr-ra.my/6PW55Z #ISO27701 #ISO42001 #AIAct #DigitalHealth #AIgovernance #PrivacyManagement #EthicalAI #TrustByDesign
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AI is reshaping how enterprises secure and comply with corporate documentation. Traditional document systems struggle to keep pace with evolving compliance standards. This leads to costly risks and operational headaches. Maestro's AI-powered tools automate compliance checks and improve document security without locking you into expensive vendor platforms. Here's what that means for your company: - Quick migration from outdated systems with no downtime - Strong compliance with SOC 2, GDPR, HIPAA standards - Cost savings by avoiding vendor lock-in fees - Scalable solutions that grow with your business One Fortune 500 client cut compliance review times by 40% after switching to Maestro's AI solutions. They gained control, security, and peace of mind. If your documentation system isn't keeping up, it's time to rethink your approach. AI-driven compliance isn't just a trend—it's the future of secure enterprise documentation. How are you preparing your company to meet tomorrow's compliance challenges?
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