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If you think your web forms are secure, the numbers tell a different story. Spoiler: 88% of organizations learned the hard way. We’re hosting a webinar on Dec 11 to unpack the new data and show how teams can finally get ahead of these hidden vulnerabilities. You’ll also get a live demo of Kiteworks Secure Data Forms from Craig Pfister and Patrick Spencer, including how to pass audits, block SQLi/XSS, and eliminate evidence gaps. This is one of the biggest blind spots in enterprise security. Don’t let it stay one. 👉 Register today so you don’t miss out: https://hubs.ly/Q03VrvKL0 #Cybersecurity #SecureDataForms #Webinar #WebForms

Everyone’s racing to give AI system access, but apparently no one thought to ask if the systems can handle it. Turns out, 94% of them can’t. A new study from the University of Calabria just revealed that 94.1% of popular LLMs fail basic security tests when deployed as AI agents with system access. Let that sink in. Nearly every major AI model, including OpenAI, Google, and Anthropic, can be exploited once it starts doing real work. Here’s the scary part: ⚠️ 82% of models obey malicious commands from other AI agents, even ones they’d block from humans. ⚠️ 53% of RAG systems can be hijacked with poisoned documents. ⚠️ Compromised AI agents look normal while installing malware or opening backdoors. This isn’t AI paranoia. It’s happening quietly behind enterprise firewalls while teams celebrate productivity gains. The solution isn’t to ban AI, it’s to govern it. That’s where Kiteworks Private Data Network comes in. It gives organizations the controls, audit trails, and zero trust architecture to innovate safely, because blind trust in AI agents is no security strategy. 👉 Read the full breakdown of the research and what it means for your organization: https://hubs.ly/Q03SFQw_0 If it’s private, Kite it. #AI #Cybersecurity #DataGovernance #AIgovernance #AIAgents

AI is moving faster than most governance frameworks can keep up. The challenge isn’t whether to use AI, it’s how to use it safely. The Kiteworks Secure MCP Server represents a major leap forward in enterprise AI security, giving organizations the power to leverage Large Language Models (LLMs) without risking sensitive data exposure. It creates a secure, governance-controlled bridge between AI applications, Model Context Protocol (MCP) clients, and your Kiteworks Private Data Network. Through this connection, AI assistants can securely perform file operations, manage folders, and access user information while every data movement is enforced through your organization’s RBAC and ABAC policies using the Kiteworks Data Policy Engine. The result: faster AI innovation, stronger compliance, and complete control over your data. If it’s private, Kite it. 👉 Visit our website to learn more. FAQ: How does the Kiteworks Secure MCP Server prevent sensitive data from being exposed to AI model training? A: The Kiteworks Secure MCP Server keeps all sensitive data within your Private Data Network and only provides content to AI assistants through encrypted, governed requests. Data never leaves your controlled environment or uploads to external AI platforms. This architecture ensures proprietary information cannot be incorporated into AI model training datasets because the AI application receives only the specific content authorized for each request, with no persistent access or data retention. The MCP server enforces access controls and maintains audit logs of all AI interactions. #Kiteworks #AIDataGateway #SecureMCP #PrivateDataNetwork #AIGovernance #DataSecurity

Excited to announce the launch of Kiteworks Secure MCP on GitHub — a major leap forward in secure, context-rich AI integrations and enterprise data protection! Kiteworks Model Context Protocol (MCP) enables organizations’ developers and enterprise community to drive secure, compliant data exchange and integration via the power and flexibility of LLMs. Why This Matters: 👉 Standardizes Integration: Acts as a universal interface for connecting AI models with Kiteworks, cutting development time and complexity while simplifying integration across your tech stack. 👉 Built on Zero Trust: Authenticates all users and AI interactions, encrypts data in transit and at rest, and enforces clear trust boundaries to dramatically lower risks of unauthorized access and data leaks. 👉 Compliance-Ready: Ensures regulatory compliance for sensitive data (IP, PII, PHI, CUI) through end-to-end encryption, granular access controls, and complete audit logging. What Your Organization Gains: • Deploy AI agents and apps faster with security and compliance built in from day one • Reduce IT overhead by leveraging a single, open source MCP implementation instead of managing multiple custom integrations • Gain complete visibility into data flows and model actions across partners, cloud systems, and internal applications • Scale confidently across diverse workloads as your AI strategy evolves ✅ Key takeaway: Kiteworks Secure MCP isn't just about adding another tool — it's about empowering your enterprise with the intelligence and agility to innovate while maintaining uncompromising security. 🔗 Discover more and get started with Kiteworks Secure MCP on GitHub today: https://lnkd.in/g5x8eiqE #Kiteworks #SecureMCP #AI #DataSecurity #Compliance #GitHub #ZeroTrust