AI Governance and Security at MSP Expo London

The 2026 AI and Human Risk Landscape report from Proofpoint highlights how AI is increasing complexity and enabling risk across today's workflows. Join our May 27 webinar to explore the top findings from the report. Our experts will share practical guidance on evolving your collaboration security strategy to align with how work actually gets done. Details 👉 https://lnkd.in/g23k68iN

We’re hearing from more organisations discovering that their teams are using AI tools on their own, and it’s starting to raise security red flags.  Securing Shadow AI is now firmly on the radar. At a high level, there are three main approaches organisations can take:  1. Run you own private LLM  2. Leverage a public LLM secured by endpoint protection and AI detection & response  3. Use an Enterprise AI Access Layer     Each path has its trade-offs, and the right choice depends on your AI maturity, security posture, and risk appetite. It’s not a one-size-fits-all.  If Shadow AI is keeping you up at night, let’s have a chat about how to regain control, enable innovation and keep your organisation safe.  #ShadowAI #GenAI #AIStrategy #ITConsultancyWithCare

Shadow AI isn't just a data security problem — it's a strategic intelligence leak. When employees use unauthorized AI tools to draft proposals, analyze competitors, or summarize board discussions, the problem is deeper than compliance. Your proprietary thinking, decision frameworks, and competitive positioning are being processed by systems your organization never vetted, never contracted, and never controls. The numbers don't lie: most SMBs have no visibility into which AI tools their teams are actually using. Here's how to understand the full scope of what's at stake — and what a governed, multi-agent AI approach looks like instead: https://lnkd.in/g-vP6C94 #ShadowAI #AIGovernance #SMBs #EnterpriseAI #IntelliInfraAI

Shadow AI isn't just a data security problem — it's a strategic intelligence leak. When employees use unauthorized AI tools to draft proposals, analyze competitors, or summarize board discussions, the problem is deeper than compliance. Your proprietary thinking, decision frameworks, and competitive positioning are being processed by systems your organization never vetted, never contracted, and never controls. The numbers don't lie: most SMBs have no visibility into which AI tools their teams are actually using. Here's how to understand the full scope of what's at stake — and what a governed, multi-agent AI approach looks like instead: https://lnkd.in/g-vP6C94 #ShadowAI #AIGovernance #SMBs #EnterpriseAI #IntelliInfraAI

🔐 Data Security in the age of Agentic AI   We’ve just published new #Foresights in which Labinot Braimi, CFA & Julien van den Rul explore how agentic #AI is redefining data security. Not as something static to protect, but as something constantly in motion. 🤖📊   As the paper puts it “The boundary between data at rest and data in action is dissolving.”   It builds a case for a new, data centric security control plane, combining AI native DLP, AI Security Posture Management, and continuous governance to help organisations scale AI responsibly. 🚀   💬 How are you rethinking data security as #AI systems become more autonomous?   📖 Full article linked in the comments

AI is now operational — for defenders and attackers. ⚠️ TrendAI Vision One™ embeds AI across detection, correlation and prioritisation, helping teams manage exposure across AI-driven environments and data flows. Innovation shouldn’t introduce uncertainty. Strengthen your AI-driven security strategy with Axia Computer Systems Ltd. https://lnkd.in/ebJuV5y2 #AISecurity #TrendAI #AI

As organizations push forward with AI, security leaders are being asked to enable innovation without sacrificing trust, compliance, or control. The challenge isn’t whether to adopt AI, it’s how to do it responsibly. For CISOs, three priorities rise to the top: 1️⃣ Data governance to ensure AI interacts only with what it should 2️⃣ Risk reduction to prevent AI from expanding the attack surface 3️⃣ Visibility into where AI is being used and how data is flowing AI success depends on more than new tools. It requires guardrails that scale, clarity around accountability, and confidence that sensitive data remains protected - no matter how fast adoption moves. 💡 Read more in our latest blog: https://loom.ly/LOaTK5c #AIAdoption #DataGovernance #CISO #AIReadiness #EnterpriseSecurity

AI Agents have become part of everyday business operations. They can access systems, process sensitive information, trigger workflows, and make autonomous decisions. But here’s the problem: most organisations are deploying AI agents faster than they’re securing or governing them. That creates serious risks around: → Prompt injection → Over-privileged access → Data leakage → Unauthorised actions → Lack of auditability and governance This is exactly why frameworks like ISO/IEC 42001 are becoming increasingly important. Organisations now need structured AI governance, security controls, risk management, and accountability around how AI systems operate. The challenge? Many businesses still don’t know where they stand when it comes to AI security readiness. That’s why I created this practical guide to AI Agent Security covering: ✅ Common attack paths ✅ Governance considerations ✅ Secure deployment principles ✅ AI risk management ✅ How organisations can align with standards like ISO/IEC 42001 Read the full guide here: https://lnkd.in/eT4miz9x If your organisation is exploring AI securely, preparing for AI governance requirements, or looking to align with standards such as ISO/IEC 42001, book a discovery call here: https://lnkd.in/ehsRzAge #AI #CyberSecurity #AIAgents #AISecurity #ISO42001 #AIgovernance #CyberRisk #AgenticAI #RiskManagement #CISO #Infosec

Can your organization adopt AI at speed without risk outrunning control?  ⚠️ Every AI use case changes how data is accessed, used, and protected. At SASEfy 2026, you’ll hear from Microsoft, Forrester, Dayforce, and Cato on where AI risk lives, how agentic AI impacts Zero Trust, and what good looks like in AI security. Plus, spin to win F1 merch! Save your spot now: https://bit.ly/4udNjUl

As AI adoption accelerates, governance can no longer be an afterthought. For pharma and life sciences leaders, the challenge is not just deploying AI, but ensuring systems are secure, compliant, auditable, and aligned to enterprise policy from day one. Athena is built with governance at every layer, enabling organizations to scale AI with trust, security, and control. #EnterpriseAI #AIGovernance #ResponsibleAI #LifeSciences #DigitalTransformation