🔧 MCP Servers are Powerful but Risky - Exclusive preview on ACI.dev MCP Hub Model Context Protocol (MCP) servers unlock new possibilities for AI systems, but they come with critical challenges: 🚨 Security vulnerabilities - susceptible to prompt injection and other attacks 🚨 Context overload - can overwhelm your AI system's context That's why there is a need for a Hub to Govern How AI tools Interact with MCPs The solution? A governance layer. We're building an MCP gateway that provides: ✅ Granular permission - function-level permission controls ✅ Observability and Audit - comprehensive tool usage logging ✅ Access control - role-based permissions (RBAC) ✅ Optimized performance - bundle multiple MCPs to save context Transform your AI from vulnerable to secure, from chaotic to controlled. Ready to see it in action? 🎥 Watch the demo:
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🚨 7,399 MCPs Scanned This Month — Is Yours One of Them? AI safety starts with visibility. The MCP Vulnerability Scan Hub is revealing just how widespread exposure is across Model Context Protocols: 📊 7,399 MCPs scanned 🧰 74K+ tools analyzed ⚠️ 43K+ vulnerabilities found 🔥 8% critical risk rate 💻 76% of servers vulnerable If you’re building or deploying AI agents, you need to know what’s under the hood. 🔒 Scan your MCP now, link on comment. Protect your AI environment. Detect risks before attackers do. #AISecurity #ModelContextProtocol #MCP #AITrust #AIAgentSecurity #EnkryptAI
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Enterprise Cybersecurity & Technology Sales | Mid-Atlantic & Southeast | CISSP, CCSP, CRISC | Cloud, Data, & Application Security
Anthropic’s Model Context Protocol (MCP) has emerged as the de facto interoperability standard for AI systems, enabling different models, tools, and data sources to communicate seamlessly. Essentially, it’s a common protocol that connects large language models (LLMs) to external APIs and systems. The tradeoff is that MCP prioritizes connectivity and convenience over security, creating a new potential access point that attackers can exploit. The best defense is to enforce strict authentication, authorization, and access controls at every MCP gateway throughout the organization’s environment.
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Microsoft introduces the Agent Framework—an open-source platform merging AutoGen and Semantic Kernel to simplify multi-agent AI development with built-in observability, security, and MCP + A2A support. For more: https://lnkd.in/gUFAZVtg #MicrosoftAI #AgentFramework #AzureAIFoundry #AIAgents #MultiAgentSystems #TechNews #EnterpriseAI
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Technical Account Manager - Partners @ Sumo Logic | ISC2 CC, PGDIS, Commvault Certified
Agentic AI is bypassing the application layer and automating workflows directly at the OS and hardware level. See why this is an issue and the security strategies you need to prevent AI from running wild: https://ow.ly/5WEv50X1V4m
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Agentic AI is bypassing the application layer and automating workflows directly at the OS and hardware level. See why this is an issue and the security strategies you need to prevent AI from running wild: https://ow.ly/Vmv750X4zE4
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Agentic AI is bypassing the application layer and automating workflows directly at the OS and hardware level. See why this is an issue and the security strategies you need to prevent AI from running wild: https://ow.ly/Hkwc50X1BBU
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Agentic AI is bypassing the application layer and automating workflows directly at the OS and hardware level. See why this is an issue and the security strategies you need to prevent AI from running wild: https://ow.ly/nlti50X12bj
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Senior Infrastructure Security Architect | Multi-Cloud & On-Prem Hybrid | DevSecOps & Zero Trust at Scale | AI Security Leader | 12+ Years Cloud Security | H-1B Valid till Sep 2026
🔐 Introducing Sightline: The First AI/ML Supply Chain Vulnerability Database In the rapidly evolving landscape of artificial intelligence and machine learning, securing the AI/ML supply chain is paramount. Traditional vulnerability databases often overlook the unique complexities of AI systems. To address this gap, Protect AI has launched Sightline, a comprehensive platform designed to detect, assess, and remediate vulnerabilities within the AI/ML supply chain. 🧠 Key Features of Sightline: Early Warning System: Receive alerts an average of 30 days before vulnerabilities are publicly disclosed, allowing proactive defense measures. Contextualized Insights: Gain detailed descriptions and infographics that help understand the impact of vulnerabilities on your AI systems. Automated Scanning: Utilize automated vulnerability scanners to identify risks in your AI/ML environments efficiently. Remediation Guidance: Access expert advice and patches from open-source software maintainers to address identified vulnerabilities. Integration with Radar: Combine Sightline with Protect AI's Radar security posture management product to contextualize vulnerabilities within your specific AI supply chain. SiliconANGLE Sightline empowers organizations to safeguard their AI/ML systems by providing comprehensive, early-stage insights into potential vulnerabilities. 🔗 Explore Sightline: https://lnkd.in/gwwRni_W #AI #MachineLearning #CyberSecurity #MLSecOps #AIsecurity #ProtectAI #Sightline #VulnerabilityManagement
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Agentic AI is bypassing the application layer and automating workflows directly at the OS and hardware level. See why this is an issue and the security strategies you need to prevent AI from running wild: https://ow.ly/OIfj50X0HkS
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Agentic AI is bypassing the application layer and automating workflows directly at the OS and hardware level. See why this is an issue and the security strategies you need to prevent AI from running wild: https://ow.ly/IHor50X7etN
