Zero Trust Security Insights

🙃Happy April Fools’ Day!🙃 Today reminds us to question everything, particularly in the digital realm. In the spirit of not falling for pranks, hoaxes, or convincingly fake emails, remember: 1️⃣Don’t implicitly trust a digital identity. Identities must be verified for authenticity. 2️⃣Don’t implicitly trust a device. Devices can be compromised and need to be continually monitored and assessed. 3️⃣Don't implicitly trust a network. The backbone of our digital communications, networks must be secured and treated with a discerning eye. Not all traffic is benign. 4️⃣Don't implicitly trust applications and workloads. Apps, though they serve as productivity tools, can harbor vulnerabilities or malicious code. 5️⃣Don't implicitly trust data. Our most valuable asset, data, demands protection from manipulation and theft. 🛡️Zero Trust principles teach us to use diverse signals to contextually analyze sessions and dynamically assess confidence in identities, devices, networks, applications, and data. Applying a Zero Trust mindset helps build a security posture that adapts to evolving threats, ensuring that trust is continuously earned and validated. 📖To deepen your understanding of these principles and apply them in a structured manner, explore the Zero Trust Maturity Model by the Cybersecurity and Infrastructure Security Agency (CISA). It offers a roadmap for organizations to assess their current posture and navigate their journey toward a comprehensive Zero Trust environment. Learn more about the CISA Zero Trust Maturity Model at: https://lnkd.in/eeFzBAbg On this day of jests and jokes, let’s remember: In the realm of cybersecurity, it's April Fools’ Day every day. Don’t be fooled. #computersecurity #informationsecurity #technology #innovation

15 years ago, we stopped trusting networks. Today, we still trust humans. That's the $1.6 billion problem staring us in the face (as that's how much deepfake fraud cost businesses last year). Alan Cohen of DCVC and I recently published this piece on why human identity needs its Zero Trust moment. Because here's the thing: North Korean hackers aren't just stealing your data anymore. They're stealing your jobs. Literally. AI-generated personas passing video interviews. Getting hired as remote developers. Funneling wages back to the regime while siphoning your IP from the inside. Your fancy setup and fancy deployments? They verify passwords, not people. They check credentials, not whether the CEO on that Zoom call authorizing a $25 million transfer is actually your CEO. We've hardened our networks. Secured our endpoints. Built fortress-like perimeters. And left the front door wide open because we still believe our eyes and ears. The Facebook Messenger "lost my wallet" scam required victims to ignore red flags. Today's deepfakes don't give you red flags to ignore. At Reality Defender, we're treating this like the emergency it is. Real-time detection at the speed of conversation. Because a security system that takes minutes to verify a video call is useless when fraud happens in seconds. Zero Trust was built for machines. It's time we built it for humans.

The proliferation of #GenAI and now the autonomous #AIAgents are putting challenges in more ways than one. There's a very interesting take on AI usage against one of most popular concepts in security, viz. #zerotrust. Zero Trust, working on the principle of “never trust, always verify" is an effective #cyberstartegy in today's world of vanishing perimeters, with transactions moving from within the premises to applications and infra hosted on the cloud & virtual devices, back to users' (employees, vendors, providers) personal devices and so on. Zero trust implies that every access request is authenticated, authorized and validated, every single time with least privilege, which means that there's no 'access all' or 'once authenticated, authorized across multiple resources'. Zero trust ensures that an attacker or a malicious packet or rogue agent cannot have a seamless lateral movement across the network. But here's where it gets interesting with the use of Gen and #agenticAI. #AI tools need access to all relevant data, applications, devices in order for them to function effectively. A segmented / microsegmented network, requiring authentication and validation each time under a zero trust architecture can be a productivity block for an AI agent, can even make it malfunction. Possible areas of friction can include :    🔸 Agentic AI thrives on autonomy, making decisions and executing tasks without human intervention, whereas zero trust demands verification at each step    🔸 AI models evolve through continuous learning, while zero trust policies with static access rules may restrict availability  🔸 GenAI systems perform best with large, diverse datasets. Zero trust restricts access to minimize risk. But here's the silver lining; Zero Trust does not oppose AI adoption. Designed thoughtfully, it can complement AI driven transformations. Some recommended strategies include : 🔅 Identity : Treat each AI Agent, model or API call as a distinct (non-human) identity #NHI, subject to authentication and authorization. 🔅 Least Privilege : Ensure that AI workloads have granular access rules defined so that they don’t inherit implicit trust across resources and access the minimum datasets necessary 🔅 Segmentation : Use micro-segmentation to isolate / restrict AI workloads to required critical systems 🔅 Continuous Monitoring : Use AI based analytics and anomaly detection to strengthen incident response. For AI specific risks, examples of triggers can be anomalous prompt patterns, instruction override commands, system commands leading to data exfiltration, filtering outputs and so on. 🔑 Organizations need to define a strategic balance between AI led innovation and managing risks against misuse or compromise. 🔑 Advanced AI governance principles are required to align with adaptive AI models 🔑 For CIOs and CISOs, resilience will now demand improvising AI-aware Zero Trust architectures. #cybersecurity #artificialintelligence #AI #leastprivilege

I was talking with a CEO recently when I mentioned “Zero Trust”. He stopped me and asked: “What is that?” Fair question. Because most Zero Trust explanations sound like they were built in a lab and escaped through a firewall. Identity. Segmentation. Conditional access. Least privilege. Continuous verification. All useful. But not where the CEO conversation should start. 🧙🏼♂️For leadership, Zero Trust is much simpler: It is a business access model. It helps make sure the right people get the right access to the right systems, for the right reasons. And nothing more. That matters because business no longer lives inside one clean network. It lives across cloud tools, remote work, third-party access, privileged accounts, and critical data systems. The CEO-level question is not: “Do we have Zero Trust?” The real question is: “Can we see and control who has access to what, and can we contain the damage quickly if something goes wrong?” That is the business value. Stronger compliance. Smaller blast radius. Lower breach risk. Less disruption. Better visibility. Zero Trust is not a tool purchase. It is a way to govern access across the business. Who gets in. Why they need it. What they can reach. When access should change. How fast risk gets contained. That is why I made this cheatsheet. Not to explain Zero Trust like a security architect. To explain it in business terms leaders can actually use. Cybersecurity gets easier to govern when the language gets clearer. 💾 Save this for your next board, risk, or security conversation. 🔄 Repost this for the leader who needs the plain-English version of Zero Trust. 📲 Follow Wil Klusovsky for executive-level clarity on cyber risk and business decisions.

“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

The attack surface is no longer the network; it is identity. According to Verizon’s Data Breach Investigations Report, roughly 74% of breaches involve a human element, and stolen credentials remain one of the most common initial access vectors. IBM’s Cost of a Data Breach analyses consistently show that identity-related incidents rank among the most expensive scenarios. This is not coincidence; it is mathematics. Organizational risk does not increase linearly with the number of users; it grows exponentially with the topology of privilege distribution. Even if the probability of compromising a highly privileged account is low, the blast radius can extend across the entire enterprise. Low probability multiplied by high impact creates systemic fragility. Claude Shannon defined entropy as a measure of uncertainty; in identity architectures, entropy is driven less by password complexity and more by privilege density, token lifetime, and federation chains. As entropy increases, control becomes harder while the attacker’s discovery cost decreases. Identity verification is therefore not a binary “secure/insecure” condition but a probability distribution with measurable error margins. Zero Trust may be strategically sound, but it is not mathematically zero. Identity is no longer a technical detail; it sits at the intersection of graph theory, probability, and economics. If we want to truly understand cybersecurity, we must analyze identity architecture not through intuition, but through mathematics. #CyberSecurity #IdentitySecurity #IAM #ZeroTrust #CyberWarfare #InformationTheory #RiskManagement #GraphTheory #CISO #CyberStrategy #DataBreach #Infosec #DigitalTrust #SecurityLeadership #IdentityBasedWarfare

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.

𝗧𝗵𝗲 𝗔𝘁𝘁𝗮𝗰𝗸 𝗬𝗼𝘂 𝗡𝗲𝘃𝗲𝗿 𝗦𝗮𝘄 𝗖𝗼𝗺𝗶𝗻𝗴 You locked your front door. You updated your software. You trained your employees on phishing. You did everything right. But the attacker still got in. 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝘁𝗵𝗲𝘆 𝗱𝗶𝗱𝗻'𝘁 𝗰𝗼𝗺𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘆𝗼𝘂. They came through someone you trusted completely. Your software vendor. Your third-party contractor. This is called a Supply Chain Attack. And it is one of the most dangerous and fastest growing threats in cybersecurity today. Here is why it is so difficult to defend against: 🟡 Your defenses don't question trusted sources → Attackers hide inside legitimate tools and updates 🟡 The entry point is outside your control → You can't patch what you don't own 🟡 It scales massively → One compromised vendor can reach thousands of victims at once 🟡 Detection is extremely hard → The threat arrives looking exactly like something normal Think about it this way: Imagine you hire a security company to protect your building. You trust them completely. You give them keys. Access codes. Full entry. Now imagine that security company was silently compromised before they ever walked through your door. 𝗘𝘃𝗲𝗿𝘆 𝗸𝗲𝘆 𝘆𝗼𝘂 𝗴𝗮𝘃𝗲 𝘁𝗵𝗲𝗺 𝗶𝘀 𝗻𝗼𝘄 𝗶𝗻 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗵𝗮𝗻𝗱𝘀. That is exactly how supply chain attacks work. The attacker doesn't target you directly. They target the people and tools you already trust. So what can organizations actually do? 🟡 𝗩𝗲𝗻𝗱𝗼𝗿 𝗥𝗶𝘀𝗸 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 → Don't just trust. Verify. Before onboarding any vendor ask about their security practices. Third-party access is a privilege not a right. 🟡 𝗟𝗲𝗮𝘀𝘁 𝗣𝗿𝗶𝘃𝗶𝗹𝗲𝗴𝗲 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 → Give vendors only the access they absolutely need. A vendor managing your website has no business inside your financial systems. Draw clear boundaries and enforce them. 🟡 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 → Watch for unusual behavior even from trusted sources. Legitimate tools don't usually reach out to unknown servers at 2am. If something feels off, it probably is. 🟡 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗕𝗶𝗹𝗹 𝗼𝗳 𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀→ Know exactly what is inside the software you use. Every component. Every dependency. Every third-party library. You cannot protect what you cannot see. 🟡 𝗭𝗲𝗿𝗼 𝗧𝗿𝘂𝘀𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 → Assume nothing is safe by default. Verify every user. Every device. Every connection. Even the ones that look completely familiar. Here is the mindset shift every organization needs: Cybersecurity is no longer just about protecting your own house. It is about knowing everyone who has a key to it. Your vendors. Your partners. Your software providers. Your cloud tools. Every single one of them is a potential door into your organization. 𝗧𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 "𝗮𝗿𝗲 𝘄𝗲 𝘀𝗲𝗰𝘂𝗿𝗲?" 𝗜𝘁'𝘀 "𝗮𝗿𝗲 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝘄𝗲 𝘁𝗿𝘂𝘀𝘁 𝘀𝗲𝗰𝘂𝗿𝗲?" 𝗔𝗻𝗱 𝗮𝘀 𝗮𝗹𝘄𝗮𝘆𝘀, 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗻𝗲𝘃𝗲𝗿 𝗲𝗻𝗱𝘀.

A CISO presented their zero trust roadmap to the board Polished slides. Current terminology. Impressive vendor logos The board approved $2.4M Eighteen months later a red team exercise exposed lateral movement across the entire network in 40 minutes Single compromised endpoint. Standard user account. No admin privileges. 40 minutes to every critical system in the environment The CISO had $2.4M of zero trust tooling in place None of it had stopped them The red team lead presented findings: "You've bought zero trust products. You haven't implemented zero trust principles." "What's the difference?" "Your tools assume zero trust. Your architecture still assumes everything inside the perimeter is trusted." Here's what the $2.4M had bought: → Identity platform - configured with broad standing access → Micro-segmentation tool - deployed in monitoring mode, never enforced → ZTNA solution - covering 30% of applications, legacy systems excluded → Endpoint detection - generating alerts nobody had capacity to action → Governance dashboard - showing green across all zero trust pillars The tools were real. The implementation was cosmetic Vendors had sold products. Nobody had changed the underlying assumptions about trust Post red team board meeting: "We spent $2.4M on zero trust. How did they move everywhere in 40 minutes?" "Because zero trust is not a product. It's an architecture. We bought the products without rebuilding the architecture." "Why didn't we know that?" "Because the vendors didn't tell us. And we didn't ask the right questions." What changed: → Zero trust measured by assumptions eliminated - not tools deployed → Micro-segmentation moved from monitoring to enforcement - system by system → Legacy system remediation planned - timeline, cost, owner for every excluded system → Standing privileged access eliminated just-in-time access only Second red team. Six months later. Same methodology. Lateral movement: not achieved within the exercise window. Not because the tools were better. Because the assumptions had changed. The lesson: zero trust is not a product you buy. It's an assumption you eliminate. The assumption that anything inside the environment can be trusted by default. Until that assumption is gone - the tools are decoration. How much of your zero trust programme is architecture? How much is branding? SOC(k)s are fire courtesy of Akamai Technologies #cybersecurity #ciso #leadership #zerotrust #tools #vendors #architecture #assumption #technology #innovation

Anthropic has published "Zero Trust for AI Agents," a practical guide on applying Zero Trust principles to the deployment of agentic AI systems. The guide explains how to: 1. Establish secure foundational capabilities through a tiered framework; 2. Identify trending threats with practical mitigation strategies; 3. Build an implementation workflow for deploying agents securely; and 4. Run defensive operations at the speed that autonomous threats demand. The recommendations include: • Identity should be the foundation of AI agent security: Every agent should have a verifiable identity, unique credentials, and authenticated communications to ensure actions can be attributed and access can be controlled. Credential sharing between agents should be avoided to reduce the impact of compromise. • Access decisions should be continuously verified: Zero Trust principles such as least privilege, just-in-time access, attribute-based access control (ABAC), and explicit trust verification throughout agent workflows should be applied instead of relying on persistent permissions. • Agent behavior requires continuous monitoring: Organizations should monitor not only inputs and outputs but also agent reasoning, tool usage, delegated tasks, and behavioral patterns. Logging, explainability, and behavioral baselines help identify anomalous or unauthorized actions before they escalate. • Memory should be treated as a security asset: The document identifies memory poisoning as a distinct risk for agentic AI and recommends session isolation, integrity validation, context retention policies, versioning, and recovery mechanisms to prevent persistent manipulation of agent behavior. • Security operations must evolve alongside AI-enabled threats and automation should augment, not replace, human decision-making. • Implementation should be incremental: Organizations should adopt a maturity-based approach that allows organizations to progressively strengthen controls as AI deployments become more autonomous, interconnected, and business-critical. Although the guidance focuses on regulated sectors such as healthcare, financial services, and government; the security principles and controls described are broadly applicable to any organization deploying AI agents.