Zero Trust Security Insights

🫣“You’ll never need to work again.”👀 Insider threats are not hypothetical — they are a growing attack vector. As the BBC recently highlighted, ransomware gangs are actively reaching out to employees with offers in exchange for access. Adversaries aren’t just breaking into networks — they’re attempting to buy their way in. "You'd be surprised at the number of employees who would provide us access." Threat actors are actively probing for employees to open the gates. Organizations need to be ready — with both a culture and an architecture that assume compromise. This is where Zero Trust Architecture proves its value. It’s not about distrusting employees — it’s about designing systems that: ✅ Verify every user and device, continuously ✅ Limit the blast radius through segmentation ✅ Provide guardrails against MFA fatigue and social engineering ✅ Detect anomalies in behavior and access patterns Modern security architectures must plan for the possibility that an insider — whether malicious, coerced, or simply tricked — could be the entry point. Zero Trust, as reflected in NIST SP 800-207, Zero Trust Architecture, and CISA’s Zero Trust Maturity Model, addresses this risk head-on by assuming compromise and minimizing its impact. (Full disclosure: I co-authored both during my time at CISA, standing up their Zero Trust Initiative.) At #Zscaler, I’m fortunate to be part of a team helping organizations — across government and industry — on their Zero Trust journeys, building resilience against evolving threats from both outside and within. 📎 Link to BBC's article in the comments. #technology #informationsecurity #artificialintelligence #cybersecurity

Let me explain... ▶️ Attackers Are Weaponizing Trust Itself Cyber criminals are increasingly focusing on getting better at hijacking trust signals that fool users into taking harmful actions, developers into downloading harmful packages, etc. Worse off, we've spent years, training users to rely on and look out for the very trust signals that attackers are getting better at convincingly mimicking. Consequently, traditional security tools are being bypassed ever more often. Trust is broken! ▶️ Trust Transcends Perimeters In modern architectures, trust lives in identities, tokens, APIs, supply chains, and even human relationships. When we grant an application, partner, or employee a high level of trust, we're effectively enlarging our “attack surface” to WHEREVER that trust extends. A compromised cloud credential or an abused API token can bypass traditional defenses undetected, because the system assumes “trusted” traffic is not harmful. ▶️Supply-Chain Dependencies Each third-party library, managed service, or vendor relationship is a trust link; a vulnerability or breach in any link immediately widens the attacker’s reach into your environment. ▶️The Zero Trust Paradox The rise of “zero trust” architectures means every request must be authenticated, every session evaluated, every transaction authorized. Ironically, the constant negotiation of trust doubles as an attack surface. Here's why; if your policy engine or identity provider is misconfigured, overloaded, or compromised, attackers can gain unfettered access. So here's my prognosis: - Expect adversaries to increasingly target IAM systems, API gateways, and CI/CD pipelines, exploiting the very mechanisms organizations rely on to grant access and permissions. - Personalized deep fake attacks will surpass mass phishing by 2027. - Discerning leaders will deploy tools that operationalize context at scale. CONTEXT IS NOW KING!!! Organizations will shift to context-aware trust assessments; monitoring behavioral anomalies, device posture, and risk signals at every transaction to detect misuse of “trusted” assets. - As orchestration tools become universal, attackers will shift to poisoning CI/CD pipelines. A malicious change to a shared workflow or action could inject backdoors into every deployment, turning your “automation trust” into a systemic vulnerability. In fact, Gartner predicts a 50% rise in breaches traceable to vendor software flaws or misconfigurations. - By 2026, both defenders and attackers will leverage AI for behavior modeling. Attackers will focus on “data poisoning”, through faux-legitimate actions making anomaly detection. Building Trust Is The Only Future That Matters!

🚀 Agentic AI and the need for Zero Trust Security Over the past couple of days I got questions about the security side of Agentic AI. When we talk about AI agents that can access business tools, sensitive databases, and internal APIs, security can’t just be an afterthought- it has to be the starting point. That’s where zero trust comes in. Zero trust is not just a tech buzzword. It’s a simple but powerful idea: don’t automatically trust anything or anyone - inside or outside your company’s systems. Always verify, every single time. So, what does zero trust actually look like? Here are a few features that define it - and why they matter so much for Agentic AI: 1️⃣ Never Trust, Always Verify: Every request - whether it’s an AI agent trying to fetch data, or a user logging in - must be checked and validated. Nothing is “trusted” just because it’s inside the network or from a familiar system. 2️⃣ Least Privilege: Only give access that’s absolutely needed. If an AI agent just needs to read sales numbers, it shouldn’t have access to edit or delete data. Permissions are tightly controlled, and kept as limited as possible. 3️⃣ Continuous Authentication: It’s not “log in once and you’re good.” Every action, every API call, every data request is checked. Tokens are short-lived, credentials are rotated, and the system is always asking, “Are you still allowed to do this?” 4️⃣ Micro-Segmentation: Even within your systems, different tools and data sources are separated into small “segments.” The AI agent has to prove it has the right to cross into each one—it’s never an all-access pass. 5️⃣ Audit and Monitoring: Everything the agent does - what it accesses, what tools it uses, what data it pulls - is logged. This isn’t just for compliance, but for spotting mistakes or suspicious behavior quickly. 6️⃣ No Hardcoded Secrets: Agents should never have passwords or API keys baked into their code. Use secure vaults or secret managers, and make sure everything is protected and easy to rotate. Why is all this so relevant for Agentic AI? Because these agents are smart and fast - they can access multiple tools in seconds and scale their actions without much human intervention. If you don’t put strong controls in place, a small mistake or security gap can lead to a big problem. So if you’re building, deploying, or even just experimenting with Agentic AI, start with zero trust. Treat every agent as you would an external visitor. Always ask: 👉 Should this agent have access right now? 👉 Is it doing only what it’s supposed to do? 👉 Can I see and control everything it touches? Sometime, I have be been challenged by a few if this will slow down innovation - my answer is a definite "No". In fact, it’s what lets you move faster, knowing your data and systems are protected at every step. I write about #artificialintelligence | #technology | #startups | #mentoring | #leadership | #financialindependence   PS: All views are personal Vignesh Kumar

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

Your VPN is not Zero Trust. A huge mistake is thinking segmented networks mean secure access. Perimeters are gone. Identity is the new firewall. But Zero Trust isn’t a slide deck. It’s a set of controls that ship. The questions every CISO and PMO must ask: Have we mapped who has access and why? Can we prove enforcement, not just intent? Can we show audit-ready evidence, by role? It’s not about more tech. It’s about applied control. And here’s the gap: Most orgs claim Zero Trust. Few have policy enforcement tied to identity, apps, and traffic flow. Why does this happen? → No inventory of users, devices, apps → No segmentation by risk or role → No continuous traffic inspection These aren’t gaps in design. They’re signs of rollout debt: → Identity not tied to enforcement → Access not reviewed regularly → Violations not reported in plain language What works: ⌯⌲ Okta + Cisco ISE for device-aware auth ⌯⌲ Palo Alto Networks Prisma Access + Zscaler for secure edge ⌯⌲ Cloudflare One + HPE Aruba Networking ClearPass for policy-as-code delivery Steps that hold: ➥ Map trust zones and crown-jewel assets ➥ Pilot one group, one app, full controls ➥ Roll out policy as code, monitor violations. ➥ Review access monthly and report it. PM leaders: treat Zero Trust like scope, not support Architects: design by identity, not IP Auditors: show residual risk by role, not guesswork 📁 Save before your next access review التحكم بالهوية هو أساس الأمن الحديث. Identity control is the foundation of modern security.

Traditional cybersecurity strategies like firewalls and antivirus are no longer enough to protect against today's evolving threats. It’s time for a new approach. Here’s why: → The Perimeter is Gone Remote work and advanced persistent threats (APTs) have blurred the lines between inside and outside the network. Traditional perimeter defenses can’t keep up. → Non-Malware Attacks are on the Rise Cybercriminals are using social engineering and phishing to infiltrate systems, bypassing traditional defenses. We need smarter, more proactive detection. → Zero Trust is the Future "Never trust, always verify." Zero Trust models continuously authenticate users, limit access, and reduce internal breaches. → AI & Machine Learning: The Game Changers AI and ML enhance threat detection, automate responses, and analyze user behavior to uncover hidden risks before they escalate. → SASE for Modern Workforces With Secure Access Service Edge (SASE), security and networking come together in the cloud, ensuring consistent protection across all environments. The landscape of cyber threats is changing fast—your defense strategies need to change with it. How is your organization evolving its cybersecurity playbook? Let’s discuss. 🔐

Did you know? Zero Trust is a modern security strategy that shifts the focus from trusting devices and users by default to a model of continuous verification. It operates on three key principles: •Verify explicitly – Always authenticate and authorise based on all available data points. •Use least privilege access – Limit user access with Just-In-Time and Just-Enough-Access (JIT/JEA), risk-based adaptive policies, and data protection. •Assume breach – Minimise blast radius and segment access. Verify end-to-end encryption and use analytics to get visibility, drive threat detection, and improve defences. This approach is designed to protect today’s complex, mobile-first environments by assuming that every request, whether inside or outside the corporate network, is a potential threat. Zero Trust operates across seven critical technology pillars: •Identities •Endpoints •Data •Apps •Infrastructure •Network •Visibility/Automation. Each pillar represents a layer of protection, and when combined, they provide a comprehensive approach to defending your organisation’s resources. By implementing these controls, you can enforce security at every point, ensuring that only verified and authorised access is granted, minimising risks across your organisation. #microsoftsecurity #zerotrust #RyansRecaps

“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

Are your IoT devices really secure? Most are not, unless they follow Zero Trust principles. Here’s a no-fluff breakdown of Zero Trust Architecture for IoT - packed into 12 essential elements: ➞ Never Trust, Always Verify Every access request must be authenticated, even inside the network. No exceptions. ➞ Micro-Segmentation of Devices Split your network into isolated zones—so one breach doesn’t compromise everything. ➞ Strong Identity for Every Device No more default passwords. Use secure tokens or certificates to uniquely verify each device. ➞ Least Privilege Access Only give devices the minimum access needed. No blanket permissions. Ever. ➞ Continuous Monitoring & Analytics Real-time behavior tracking catches threats early. Anomalies don’t stand a chance. ➞ Encrypted Communication Channels End-to-end encryption (TLS/SSL) protects data from snooping and MITM attacks. ➞ Automated Risk Assessment Let AI flag risky behavior or unknown devices. Instant quarantine. No delay. ➞ Zero Standing Access No permanent credentials. Grant just-in-time access that expires fast. ➞ Secure Device Boot & Updates Only allow devices to run verified firmware. OTA updates must be signed. ➞ Cloud + Edge Enforcement Zero Trust rules apply everywhere - edge for speed, cloud for centralized control. Zero Trust isn’t optional in modern IoT. It’s the backbone of secure, scalable, and future-proof deployments. 🔁 Repost if you're building for the real world, not just connected demos. ➕ Follow Nick Tudor for more insights on AI + IoT that actually ship.

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.