How to Improve Data Security in Zero Trust

Zero Trust Architecture for LLMs — Securing the Next Frontier of AI AI systems are powerful, but also risky. Large Language Models (LLMs) can expose sensitive data, misinterpret context, or be manipulated through prompt injection. That’s why Zero Trust for AI isn’t optional anymore — it’s essential. Here’s how a modern LLM stack can adopt a Zero Trust Architecture (ZTA) to stay secure from input to output. 1. Data Ingestion — Trust Nothing by Default 🔹Every input — whether human, application, or IoT sensor — must go through identity verification before login. 🔹 A policy engine evaluates user, device, and risk signals in real-time. No data flows unchecked. No implicit trust. 2. Identity and Access Management 🔹Implement Attribute-Based Access Control (ABAC) — access is granted based on who, what, and where. 🔹 Add Multi-Factor Authentication (MFA) and Just-in-Time provisioning to limit standing privileges. 🔹Combine these with a Zero Trust framework that authenticates every interaction — even inside your own network. 3. LLM Security Layer — Real-Time Defense LLMs are intelligent but vulnerable. They need a layered defense model that protects both inputs and outputs. This includes: 🔹Prompt filtering to prevent injection or manipulation 🔹Input validation to block malformed or unsafe data 🔹Data masking to remove sensitive information before processing 🔹Ethical guardrails to prevent biased or non-compliant responses 🔹Response filtering to ensure no sensitive or toxic output leaves the system This turns your LLM from a black box into a controlled, auditable system. 4. Core Zero Trust Principles for LLMs 🔹Verify explicitly — never assume identity or intent 🔹Assume breach — design as if every layer could be compromised 🔹Enforce least privilege — restrict what data, models, and prompts each actor can access When these principles are embedded into the model workflow, you achieve continuous verification — not one-time security. 5. Monitoring and Governance 🔹Security is not a one-time activity. 🔹Continuous policy configuration, monitoring, and threat detection keep your models aligned with compliance frameworks. 🔹Security policies evolve through a knowledge base that learns from incidents and new data. The result is a self-improving defense loop. => Why it Matters 🔹LLMs represent a new kind of attack surface — one that blends data, model logic, and user intent. 🔹Zero Trust ensures you control who interacts with your model, what they send, and what leaves the system. 🔹This mindset shifts AI from secure-perimeter thinking to secure-everywhere thinking. 🔹Every request is verified, every action is authorized, and every output is validated. How is your organization embedding Zero Trust principles into GenAI systems? Follow Rajeshwar D. for insights on AI/ML. #AI #LLM #ZeroTrust #CyberSecurity #GenAI #AIArchitecture #DataSecurity #PromptSecurity #AICompliance #AIGovernance

🚨2024 Replay: Advancing Zero Trust Maturity Through Visibility & Analytics 🔍 Released by the NSA, this Cybersecurity Information Sheet emphasizes the pivotal role of visibility and analytics in the Zero Trust framework. These principles form a cornerstone of proactive cybersecurity—delivering actionable insights to strengthen detection and response capabilities. Key Takeaways: 📊 Logging: Focus on collecting pertinent activity logs across networks and user systems; indiscriminate data collection isn’t practical. 🛠️ Centralized SIEM: Leverage Security Information and Event Management tools to aggregate and analyze data for enhanced threat detection. 🔐 Risk Analytics: Use dynamic scoring systems enriched by CVEs and real-time vulnerabilities to stay ahead of threats. 🧠 UEBA (User and Entity Behavior Analytics): Harness AI/ML to spot anomalous behaviors that may signal insider threats. 🌐 Threat Intelligence Integration: Enrich internal data with external threat feeds for comprehensive situational awareness. 🚦 Automated Policies: Implement dynamic access controls and configurations to adapt to an evolving threat landscape in real time. 📜 Quote from the CSI: "Detecting and identifying potential threats requires both human and technological elements to understand the entirety of the network, to detect anomalous changes, and to react to an incident expediently and properly." 📅 This post is part of my year-end review of 2024’s most impactful cybersecurity documents. Critical guidance—like this one from May 2024—often fades after its initial promotion. Revisiting these documents allows us to refocus on foundational recommendations for enhancing security postures. 💬 Link to the document in the comments. #cybersecurity #threathunting #analytics #data #visibility #cloudsecurity #technology #informationsecurity #artificialintelligence #zerotrust #computersecurity

“Stop calling it Zero Trust if you’re ignoring identity hygiene.” → Buzzword bashing + real advice. A few weeks ago, I sat in on a cybersecurity strategy session with the leadership team of a major enterprise. The CISO led confidently: “We’re rolling out Zero Trust across the organization.” That phrase — "Zero Trust" — hit like a badge of innovation. Architecture diagrams were up. Vendor integrations were discussed. Everyone nodded. Then I asked a few simple questions: “How often do you audit inactive accounts?” “Do your service accounts rotate passwords automatically?” “Is your access contextual, or just always on?” And just like that, the room shifted. A leader admitted: “We’ve been focused on tools… We haven’t really tackled identity yet.” That’s the problem. Zero Trust has become a label, not a discipline. We throw it around like a status symbol. We assume it’s built with technology alone. We forget that trust begins — and often fails — at the identity layer. 🚨 Here’s what I see far too often: Dormant accounts still active in production MFA turned off “temporarily” (and forgotten) Shared credentials for service accounts Admin access with no expiry and no monitoring Expired contractors who still have system access And yet, on paper: “We’ve implemented Zero Trust.” Let’s be real: If identity is unmanaged, You don’t have Zero Trust. You have Zero Clue. 🧠 Identity Hygiene is the First Real Step Before you roll out your Zero Trust tech stack: ✅ Audit your identity inventory → Users, machines, service accounts. Know what exists and why. ✅ Enforce role-based access control with expiry dates → No one should have access "just in case." ✅ Tie authentication to risk and context → Who’s logging in? From where? Doing what? ✅ Log everything — and assign accountability → Especially for privileged activity. Especially in legacy systems. ✅ Challenge the Zero Trust narrative → Ask: “What does Zero Trust mean in our org — in policy, not PowerPoint?” 🎯 Bottom Line: Zero Trust isn’t something you buy. It’s something you build. And it starts with removing implicit trust from people — not just networks. You can’t fix lateral movement with firewalls if an attacker can stroll through the front door with a forgotten admin credential. If trust isn’t verified, It isn’t Zero Trust. It’s wishful thinking. 👀 At Microminder, we help cybersecurity leaders in OT-heavy, regulated industries build Zero Trust programs rooted in identity-first thinking — not vendor slides. 📩 DM me if you're ready to replace buzzwords with actual control. 👇 Comment below: What’s one identity risk you’ve uncovered that forced a rethink on trust? #Day12 #ZeroTrust #CyberSecurity #IdentityHygiene #IAM #CISO #PrivilegedAccess #SecurityLeadership #Microminder

One of the most interesting aspects of my last few roles, including my current work at Humain, is operating at the intersection of AI and advanced security/encryption techniques from zero-knowledge proof systems to the extension of Zero Trust principles into the agentic world. In traditional Zero Trust, we authenticate users and devices. In the agentic world, the “user” could be an autonomous agent — a system that reasons, acts, and interacts with data and other agents, often at machine speed. That changes everything. To secure this new ecosystem, Zero Trust must evolve from static identity verification to dynamic trust orchestration, where every action, decision, and data exchange is continuously verified, contextual, and cryptographically enforced. 1. Agent Identity and Attestation Every agent must have a verifiable, cryptographically signed identity and prove its integrity at runtime; not just who you are, but what you’re running: the model, weights, policy context, and data provenance. 2. Intent-Aware Policy Enforcement Access control must become intent-aware, so agents act only within bounded policy domains defined by explicit goals, permissions, and ethical constraints — continuously verified by embedded governance logic. 3. Least Privilege and Time-Bound Access Agents must operate under least privilege, with access granted only for the minimum scope and durationrequired. In fast-moving agentic environments, time-limited trust becomes an essential safeguard. 4. Assumed Breach and Blast Radius Containment We must assume some agents or environments will be compromised. Security design should minimise impact through microsegmentation, strict trust boundaries, and dynamic reassessment of communication between agents. 5. Encrypted Cognition As models process sensitive data, confidential AI becomes essential where combining homomorphic encryption, secure enclaves, and multi-party computation can ensure that the model cannot “see” the data it processes. Zero Trust now extends into the reasoning process itself. 6. Adaptive Trust Graphs Agents, services, and humans form dynamic trust graphs that evolve based on behaviour and context. Continuous telemetry and anomaly detection allow these graphs to adjust privileges in real time based on risk. 7. Cryptographic Provenance Every output, decision, summary, or recommendation must be traceable back to the data, model, and policy that produced it. Provenance becomes the new perimeter. 8. Autonomous Audit and Forensics Every action should be self-auditing, cryptographically signed, and non-repudiable forming the foundation for verifiable operations and compliance. 9. Machine-to-Machine Governance As agents begin to negotiate, transact, and collaborate, Zero Trust must extend into inter-agent diplomacy, embedding ethics, accountability, and policy directly into machine communication. If you’re working on AI security, agent governance, or confidential computation, I’d love to connect.

Zero Trust Agile Zero Trust (ZT) is a security mindset that assumes no user, device, or system is to be trusted by default, even if inside the network. Instead of granting broad access based on location or credentials, ZT continuously verifies identity, context, and behavior before allowing access to systems, data, or code. ZT applies to Agile teams in two ways: in development (securing the people, processes, and tools used to build software) and in the product (protecting users and data). Agile teams move fast, but without strong security, they may expose sensitive data, development pipelines, or customers to cyber threats. Zero Trust in Development Agile teams work in distributed environments and use cloud-based tools. Traditional security models assume internal networks are safe. ZT doesn’t. Every access request, whether from a developer, an automation script, or a third-party integration, is verified. An unsecured pipeline can introduce vulnerabilities. ZT prevents unauthorized code changes by enforcing strict identity verification for developers pushing code, role-based access control (RBAC) to limit who can modify repositories, and cryptographic verification so only trusted artifacts reach production. Agile developers work across devices and locations. MFA and device posture checks verify that only trusted users and devices access development tools. Just-in-time access grants privileges temporarily. Data encryption protects code and credentials, even if a device is compromised. Agile teams use open-source libraries and third-party tools, which can introduce supply-chain risks. ZT mitigates them with automated dependency scanning, cryptographic verification, and continuous monitoring of integrations. Zero Trust in the Product Security doesn’t stop at development. The product itself must enforce ZT principles to protect customers, data, and integrations. A ZT product never assumes users are who they claim to be. It enforces strong authentication using MFA and passwordless login, continuous verification that checks behavior for anomalies, and granular role-based access so users only access what they need. APIs and microservices are attack vectors. ZT requires that even internal services authenticate and validate requests. API authentication and authorization use OAuth, JWT, and mutual TLS. Rate limiting and anomaly detection prevent abuse. Encryption of data in transit and at rest keeps intercepted data unreadable. ZT means each system, user, and process has the least privilege necessary. Session-based access controls dynamically revalidate permissions. End-to-end encryption secures data, even if intercepted. Data masking and tokenization protect sensitive information. Double Zero Agile teams can’t just build software fast, they have to build it securely. Embedding ZT in development means only the right people, processes, and tools can modify code. Embedding ZT in the product means the software itself protects users and data.

📌 How to implement Zero Trust with Microsoft Security Zero Trust means "never trust, always verify." Every request to data, apps, or infrastructure must be authenticated, authorized, and continuously monitored. Here’s how to put this model into action step by step ⬇️ ❶ Secure Identities (Human & Workload) ◆ Enable MFA + phishing-resistant authentication (FIDO2, passkeys). ◆ Use Entra ID Conditional Access with risk-based sign-in policies. ◆ Automate access reviews and JIT access with Entra ID Governance. ❷ Enforce Device Compliance ◆ Register devices with Intune; block or quarantine non-compliant ones. ◆ Use Defender for Endpoint to detect advanced threats and auto-isolate compromised endpoints. ◆ Require device health checks (encryption, patch level, AV status) before granting access. ❸ Apply Adaptive Zero Trust Policies ◆ Configure Conditional Access to evaluate location, device risk, and session context. ◆ Block legacy auth and enforce least privilege access per role. ◆ Use session controls (MFA re-prompt, sign-out) for high-risk behavior. ❹ Segment Networks & Workloads ◆ Enforce micro-segmentation with Azure Firewall and NSGs. ◆ Route sensitive traffic through secured hubs (Azure Virtual WAN + Firewall). ◆ Deny all inbound by default; expose apps through reverse proxy/App Gateway. ❺ Protect Apps & Runtime ◆ Monitor SaaS with Defender for Cloud Apps; set policies for risky user actions. ◆ Enable runtime threat protection for containers, serverless, and VMs with Defender for Cloud. ◆ Turn on GitHub Advanced Security for secrets scanning and dependency protection. ❻ Classify & Protect Data ◆ Use Purview to automatically classify and label sensitive data. ◆ Enforce encryption (at rest + in transit) across Office 365 and SQL. ◆ Use Microsoft Priva for privacy risk insights and regulatory compliance. ❼ Detect & Respond Continuously ◆ Stream telemetry into Microsoft Sentinel for correlation and hunting. ◆ Build automated response playbooks with Logic Apps. ◆ Use Defender XDR for unified incident detection across endpoints, identity, and cloud. ❽ Optimize Policies & Governance ◆ Track Secure Score daily to benchmark progress. ◆ Automate compliance reporting for ISO, NIST, SOC2 with Compliance Manager. ◆ Continuously tune policies to reduce friction while maintaining security. By operationalizing each layer this way, you move Zero Trust from a diagram into a living, enforceable security model. #cloud #security #azure

𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐙𝐞𝐫𝐨 𝐓𝐫𝐮𝐬𝐭 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐧 𝐘𝐨𝐮𝐫 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 As cyber threats continue to evolve, traditional perimeter security approaches are no longer sufficient to protect sensitive data & assets. Organization shall adapt Zero Trust Security model, a strategy in which every user, device, network must be verified continuously as there is potential compromise. 𝐊𝐞𝐲 𝐒𝐭𝐞𝐩𝐬 𝐭𝐨 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐙𝐞𝐫𝐨 𝐓𝐫𝐮𝐬𝐭 𝐢𝐧 𝐘𝐨𝐮𝐫 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝑰𝒅𝒆𝒏𝒕𝒊𝒇𝒚 𝒂𝒏𝒅 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒚 𝑨𝒔𝒔𝒆𝒕𝒔: One must begin by identifying all critical assets & it must include data, applications, infrastructure components. Classify these assets based on their sensitivity & importance to the organization. 𝑽𝒆𝒓𝒊𝒇𝒚 𝑬𝒗𝒆𝒓𝒚 𝑨𝒄𝒄𝒆𝒔𝒔 𝑹𝒆𝒒𝒖𝒆𝒔𝒕: Apply the principle of “never trust, always verify.” Authenticate & authorize every access request, whether it originates from inside or outside of network. Use multi-factor authentication to enhance security. 𝑰𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕 𝑳𝒆𝒂𝒔𝒕 𝑷𝒓𝒊𝒗𝒊𝒍𝒆𝒈𝒆 𝑨𝒄𝒄𝒆𝒔𝒔: Grant users & devices only the access needed to perform their specific roles. Regularly review & check permissions, revoke privileges to minimize the attack surface. 𝑴𝒊𝒄𝒓𝒐-𝑺𝒆𝒈𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏 𝒐𝒇 𝑵𝒆𝒕𝒘𝒐𝒓𝒌𝒔: Divide your network into smaller, isolated segments to contain potential breaches. Use firewalls, VLANs, or software-defined perimeters (SDP) to enforce segmentation & control traffic between segments. 𝑪𝒐𝒏𝒕𝒊𝒏𝒖𝒐𝒖𝒔 𝑴𝒐𝒏𝒊𝒕𝒐𝒓𝒊𝒏𝒈 𝒂𝒏𝒅 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔: Deploy tools that continuously monitor user behavior, network traffic, and system activity. Use AI/ML to detect anomalies & potential threats in real-time. 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒆 𝑹𝒆𝒔𝒑𝒐𝒏𝒔𝒆𝒔 𝒕𝒐 𝑻𝒉𝒓𝒆𝒂𝒕𝒔: Automate incident response procedures to ensure quick & consistent reactions to detected threats. Integrate automated tools with your SIEM systems to streamline response actions. You may deploy SOAR & create respective playbooks. 𝑹𝒆𝒈𝒖𝒍𝒂𝒓 𝑺𝒆𝒄𝒖𝒓𝒊𝒕𝒚 𝑨𝒖𝒅𝒊𝒕𝒔 𝒂𝒏𝒅 𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈: Conduct regular security audits to identify vulnerabilities & gaps in your Zero Trust implementation. Provide ongoing training & awareness programs to ensure that all employees understand their role in maintaining security. 𝐖𝐡𝐲 𝐀𝐝𝐨𝐩𝐭 𝐙𝐞𝐫𝐨 𝐓𝐫𝐮𝐬𝐭 𝐍𝐨𝐰? Zero Trust is not just a buzz word, but it is a critical strategy for defending against sophisticated cyber threats like ransomware, insider threats & supply chain attacks. By adopting a Zero Trust model, organizations can minimize risks, protect sensitive data & build resilience against future attacks. 𝐀𝐫𝐞 𝐘𝐨𝐮 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐙𝐞𝐫𝐨 𝐓𝐫𝐮𝐬𝐭? Start small, assess your organization's current security posture & incrementally implement Zero Trust principles to create a robust, adaptive security architecture. #ZeroTrust #CyberSecurity #Infosec

Most security teams waste $500K+ on perimeter tools that don't work anymore. These 6 steps will save you from that mistake: If you're clinging to firewall-first security, confused about Zero Trust, Or worried your team can't handle the shift... This framework is your answer. It's the difference between security that adapts to modern threats And security that crumbles at the first breach. These 6 steps are your implementation roadmap: 1️⃣ Ask yourself these ❓ 1. Are we still trusting devices just because they're "inside" the network? 2. How do we verify identity for every access request? 3. What happens when the perimeter dissolves with remote work? 4. Can we see who's accessing what, when, and from where? 5. Do we assume trust or verify continuously? 6. Is our security model built for 2010 or 2025? 2️⃣ Understand the old model is dead 🤖 The perimeter model assumed: ↳ Inside the network = trusted ↳ Outside the network = threat ↳ Firewall = castle wall ↳ VPN = secure tunnel ↳ Once verified = always trusted This breaks with: Cloud apps, remote teams, mobile devices, third-party access. The perimeter doesn't exist anymore. 3️⃣ Shift to identity-first thinking 📊 Zero Trust starts here: Trust nothing by default. Verify every user, device, and request. Grant least-privilege access only. The new model: ↳ Identity becomes the perimeter ↳ Context matters: who, what, when, where ↳ Continuous verification, not one-time login ↳ Assume breach, limit damage Every access decision needs proof. No exceptions. 4️⃣ Change how teams operate 🔒 Zero Trust isn't just technology. Operational shifts required: Security teams: Monitor identity signals, not just network traffic. IT teams: Manage access policies, not just infrastructure. Employees: Authenticate more often, accept friction for safety. 💡 Key change: ↳ Security becomes everyone's job. ↳ Access is earned per session, not permanent. 5️⃣ Build the right team mindset 👥 Don't force old thinking on new models. Train teams on: 1 Why perimeter security failed. 2 How identity verification protects better. 3 What continuous monitoring means daily. Resistance comes from habit. Education removes fear of change. 6️⃣ Measure the transition 📈 Track progress, not perfection. Monitor these: 1. Percentage of access requests verified by identity. 2. Time to detect unauthorized access attempts. 3. Reduction in lateral movement during incidents. Set baseline before Zero Trust. Measure quarterly. Adjust what's not working. The best security isn't about bigger walls. It's about knowing who's inside and why. Start with identity. Verify constantly. Trust nothing. Found this helpful? 🔄 Repost this if you've ever relied on a firewall and called it security. ➡️ Follow Aditya for security insights that turn outdated models into modern protection.

🔐 Zero Trust & MITRE ATT&CK Mitigations 🔐 Zero Trust operates under the principle of "never trust, always verify," requiring: ✅ Continuous authentication ✅ Least privilege access ✅ Strict segmentation What does this mean for MITRE ATT&CK Mitigations? Many ATT&CK mitigations directly support Zero Trust principles, reinforcing a proactive security posture against adversary techniques. 🔹 M1036 - Account Use Policies → Enforce strict account usage rules to prevent unauthorized access. 🔹 M1015 - Active Directory Configuration → Secure AD to reduce privilege escalation risks. 🔹 M1032 - Multi-Factor Authentication → Verify identities before granting access. 🔹 M1026 - Privileged Account Management → Restrict high-privilege accounts on a need-to-know basis. 🔹 M1035 - Limit Access to Resource Over Network → Prevent lateral movement through segmentation. 🔹 M1027 - Password Policies → Strengthen authentication against credential-based attacks. 🔹 M1053 - Data Backup → Ensure resilience against data tampering & ransomware. 🔹 M1034 - Limit Hardware Installation → Prevent unauthorized devices from compromising security. 🔹 M1028 - Operating System Configuration → Harden OS settings to block privilege escalation. 🔹 M1018 - User Account Management → Implement least privilege access across all user roles. Why This Matters? 🔹 ATT&CK Mitigations provide actionable ways to implement Zero Trust security in real-world environments. 🔹 By mapping mitigations to Zero Trust strategies, organizations can proactively prevent, detect, and respond to threats. 🚀 Are we missing any mitigations that fit under the Zero Trust umbrella? Drop your thoughts in the comments! Let’s keep pushing security forward. #ZeroTrust #MITREATTACK #CyberSecurity #DetectionEngineering #ThreatHunting #LeastPrivilege

The hidden gap in your zero trust strategy 𝐙𝐞𝐫𝐨 𝐓𝐫𝐮𝐬𝐭 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐬 𝐭𝐡𝐞 𝐠𝐨𝐥𝐝 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝, 𝐛𝐮𝐭 𝐡𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐭𝐫𝐮𝐭𝐡: 𝐢𝐭’𝐬 𝐨𝐧𝐥𝐲 𝐚𝐬 𝐠𝐨𝐨𝐝 𝐚𝐬 𝐲𝐨𝐮𝐫 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲. In a recent two-part blog for Cerby, I explored a prominent blind spot in zero trust adoption: disconnected apps. This massive category of apps doesn’t integrate with modern identity platforms like Okta or Saviynt. They don’t just slip through the cracks—they create them. 𝐖𝐡𝐲 𝐝𝐨 𝐝𝐢𝐬𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐚𝐩𝐩𝐬 𝐦𝐚𝐭𝐭𝐞𝐫? Disconnected apps are pervasive, from marketing’s social media tools to finance’s treasury apps (not to mention your OT devices). Research shows: 👉 49% of companies don’t track how many disconnected apps they have. 👉 47% have failed audits due to disconnected apps. 👉 It takes 7 hours on average to manually provision access to these apps—and longer to deprovision them. Hint: looking for cost savings in 2025? Automate access to these apps. 𝐓𝐡𝐞 𝐜𝐨𝐧𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞? These blind spots introduce compliance risks, human error, and security gaps that your zero trust framework can’t solve unless you bring these apps into your identity perimeter. 𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐟𝐢𝐱 𝐭𝐡𝐢𝐬? ✔ Integrate disconnected apps into your identity platforms to enforce zero trust policies consistently. ✔ Use tools like Cerby to connect these apps, enabling visibility, centralized credential management, and compliance. ✔ Conduct a full audit to uncover where disconnected apps exist across your organization—and act before they become an audit or breach headline. Big Questions: How confident are you that your zero trust strategy extends to all your apps? If you haven’t addressed disconnected apps, are you leaving your business vulnerable? Learn more here: https://lnkd.in/g6c8gzRG #ZeroTrust #CyberSecurity #DisconnectedApps #Leadership #Compliance #CloudComputing