🚨 CrowdStrike’s acquisition of Seraphic signals a new frontier: in‑browser security powered by AI. As most work moves online, the risk of phishing, session hijacking and data leakage rises—especially on unmanaged devices. For NZ businesses, that means protecting every click, not just endpoints. SmartByte Solutions can help you integrate browser‑level safeguards into your existing cloud and AI stack—leveraging our Power Apps, SSRS & SSIS, and cloud services (AWS, Azure, Oracle) to give you real‑time visibility and continuous threat intelligence. Think of it as a digital moat that works across Chrome, Edge, Safari and Firefox. Are you ready to secure your web sessions without forcing a corporate browser? Let’s discuss how our Python automation and AI development can keep your data safe while boosting productivity. 👉 Learn more: https://lnkd.in/e48geXJW #BrowserSecurity #CyberSecurity #AI #NZBusiness #SmartByteSolutions #DataAnalytics #CloudServices
CrowdStrike Acquires Seraphic, Enhancing In-Browser Security with AI
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Your most trusted offline tools are now cloud-connected data risks. The new AI features in Windows Notepad and Paint fundamentally break their security model. They've shifted from isolated, offline applications to authenticated cloud services. This creates a massive new attack surface for enterprises. The Problem: AI features require a Microsoft account sign-in, creating new identity-based attack vectors. Text and image prompts are sent to Microsoft servers, risking exposure of sensitive data, credentials, and proprietary information. This new cloud connectivity bypasses traditional network segmentation, threatening air-gapped systems. The Agitation: This isn't just about productivity features. It's a compliance nightmare. It may violate GDPR, HIPAA, and data residency requirements. The expanded Markdown support introduces parsing complexity for future vulnerabilities. Streaming AI results could create timing-based side-channel attacks. Transparency on data retention and third-party integration is limited. The Solution: Security teams must act now. This update forces a critical reevaluation of application allowlisting and endpoint security policies for these core Windows tools. How is your team securing your infrastructure against this type of exploitation? Let’s discuss in the comments below. #Cybersecurity #AI
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Our advice: Be Careful with Clawdbot/Moltbot These AI tools are really cool - they can automate tons of tasks for you. But there's a security problem we need to address.. These tools save important passwords and access keys on your computer so they can do their job. That's like leaving your house keys under the doormat - convenient, but risky. If hackers break into that computer, they don't just get one password. They get ALL the passwords the AI tool saved. Imagine someone getting into your work email, your cloud storage, AND your company VPN all at once. 🚫 Don't use these tools on important work computers 🚫 Don't let them store your VPN logins or admin passwords ✅ Treat them like you would any app that has access to sensitive stuff - be extra careful ✅ This week: Take 10 minutes to audit what AI tools your team is actually using These tools are still new. The security isn't quite there yet. So keep them away from anything business-critical until they're more mature.
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AI-Powered Security Breach: How Attackers Bypassed Machine Learning Defenses and What You Can Do Now + Video Introduction: A recent surge in attacks targeting AI-driven security platforms has exposed critical flaws in automated threat detection. Hackers are using adversarial machine learning to manipulate models, allowing data exfiltration undetected. This article breaks down the techniques used and provides actionable steps to fortify your systems. Learning Objectives: Identify common adversarial attacks against AI security tools. Implement hardening measures for machine learning models in production....
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🚀 Unlock Free AI Security Frameworks! 🔒 Enterprises often spend $200K to discover these frameworks, but you can access 6 powerful AI security frameworks for FREE! From Microsoft Copilot Security Architecture to Google Cloud Well-Architected AI Security, these frameworks cover everything from cloud security and threat detection to vulnerabilities in LLMs. Whether you're a cybersecurity professional, AI developer, or IT enthusiast, these frameworks provide: ✅ Comprehensive cloud security ✅ End-to-end AI security ✅ Governance & risk management ✅ Defense-in-depth strategies ✅ Guidance on LLM vulnerabilities All $0 and can be implemented in just 2-6 weeks — no costly consultants or long delays! Stay ahead in AI security and make your systems resilient against threats. #AI #CyberSecurity #CloudSecurity #LLM #TechInnovation #FreeResources #InformationSecurity #ITSecurity #AIFramework #MicrosoftCopilot #AWS #GoogleCloud #OWASP #NIST
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Artificial intelligence (AI) features have been added to Windows 11 Notepad and Paint for Canary and Dev Channel users, turning them into cloud-connected tools that require sign-in. The Notepad update (version 11.2512.10.0) brings AI-powered text generation, rewriting, and summarization features that stream results from both local and cloud sources. Users must sign in with Microsoft accounts to access these capabilities, fundamentally changing Notepad’s traditional offline security model. Please follow Abhishek Chatrath for such content. #LinkedIn #Cybersecurity #Cloudsecurity #AWS #GoogleCloud #Trends #informationprotection #Cyberthreats #cloudsecurity #SiteReliabilityEngineer #cybersecurity #appsec #devsecops #CI_CD #IaC #KubernetesSecurity #Zerotrust #Securitybydesign #Azure #Datasecurity #DevSecOps #DevOps #Development #CloudEngineering #Observability #SitereliabilityEngineering #SRE https://lnkd.in/eR7uP7YA
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🚨 ShinyHunters' New Playbook: Weaponizing Legitimate Cloud Tools for Data Theft 🔒 • Attackers are now exploiting legitimate cloud services like Google Drive and Google Cloud Storage as stealthy exfiltration channels 🛠️🌐. This "living off the land" tactic dramatically reduces detection rates. • The group is using custom Python scripts to automate data theft directly from cloud databases, moving beyond simple credential theft to systematic, large-scale extraction ⚙️📦. • This shift signifies a maturation of the cybercriminal ecosystem, where threat actors invest in developing their own tooling for efficiency and evasion 🚀💸. • The incident underscores a critical gap: many security controls are blind to data moving between trusted, sanctioned services, creating a dangerous blind spot 👁️🕳️. As the line between legitimate and malicious use of cloud platforms blurs, are our data loss prevention strategies still focused on the wrong traffic patterns? Link:https://lnkd.in/diMXApHA
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A CVSS 8.3 flaw threatens 7.3M AI framework downloads. This isn't theoretical. The "ChainLeak" vulnerabilities CVE-2026-22218 & CVE-2026-22219 in the popular Chainlit AI Framework allow direct data theft and cloud takeover. The Problem : Two high-severity bugs in an open-source framework used to build chatbots. Arbitrary File Read CVE-2026-22218 : Attackers can steal any file the server can read—source code, database files, environment variables holding API keys. SSRF Vulnerability CVE-2026-22219 : Attackers can force the server to make requests to internal cloud metadata services like AWS's IMDS . The Agitation : When combined, these vulnerabilities create a perfect storm. An attacker can: • Read `/proc/self/environ` to steal cloud credentials. • Use those credentials or the SSRF bug to query the cloud metadata service. • Gain keys to the entire AWS account, enabling lateral movement . This turns a single app flaw into a full cloud environment breach. The Solution : Immediate action is required. 1. Upgrade Chainlit to version 2.9.4 immediately. 2. If using AWS, enforce IMDSv2 on all EC2 instances. 3. Audit all AI application infrastructure for similar SSRF risks. This case shows how traditional web app flaws are now embedded in AI infrastructure , creating massive new attack surfaces. How is your team securing your infrastructure against this type of exploitation? Let’s discuss in the comments below. #Cybersecurity #CloudSecurity
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AI agents are popping up everywhere - are you treating them like a proper workload, or like a fancy script? 🤖 Microsoft’s Defender Security Research Team dropped a piece on 21 Jan 2026 about “agent posture” and, well, it made me both happy and a bit twitchy. 😬 The good bit: AI Security Posture Management in Defender for Cloud (CSPM plan) is starting to join the dots across Azure AI Foundry, AWS Bedrock, and GCP Vertex AI - visibility 🕵 plus prioritised Risk Factors is exactly what we’ve been missing. The scary bit: indirect prompt injection (XPIA) 🦹 is basically “your agent reads a thing and silently does a worse thing”… especially when it’s got high autonomy and tools that can touch data or trigger workflows. *Also, I spent 12 minutes staring at a policy “Evaluating…” spinner today - same energy as an agent doing who-knows-what in the background. 😎 🔹 Inventory agent identities + internet-exposed APIs 🔹 Map data sources (PII) and lock down access paths 🔹 Add guardrails and human-in-the-loop where autonomy is high 🔹 Treat coordinator agents as Tier 0-ish, their blast radius is nasty What’s your current approach for spotting “shadow agents” before they bite you? #Microsoft #Security #Defender #Entra #CyberSecurityUK #EndpointManagement https://lnkd.in/eTw9WbZP
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𝗧𝗵𝗲 𝗔𝗜 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗣𝗮𝗿𝗮𝗱𝗼𝘅: 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗿𝗲𝘀𝘁𝘀 𝗼𝗻 𝘁𝗵𝗿𝗲𝗲 𝗴𝗶𝗮𝗻𝘁𝘀 The year 2026 is defining a new era in #cybersecurity: AI is both the ultimate weapon and the ultimate target. We're seeing the rise of #AgenticAI autonomous systems capable of planning and executing attacks at machine speed. This isn't just about better phishing; it's about attacks on the AI supply chain itself, from prompt injection to IP theft targeting proprietary models. The attack surface has fundamentally changed. This is where the #Hyperscalers (#AWS, #Azure, #GoogleCloud) move from being mere infrastructure providers to the world's most critical security entities. 𝗪𝗵𝘆? 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗼𝗻𝗹𝘆 𝗼𝗻𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 #𝘀𝗰𝗮𝗹𝗲 𝘁𝗼 𝗳𝗶𝗴𝗵𝘁 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗔𝗜. 1. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝘁𝗮𝗰𝗸 𝗔𝗯𝘀𝗼𝗿𝗽𝘁𝗶𝗼𝗻: Hyperscalers are absorbing the security stack, offering unified, AI-driven platforms (like Microsoft Defender for Cloud or Mandiant) that secure the entire cloud-native environment. They deploy AI-powered defense at the infrastructure level, a scale no single enterprise can match. 2. 𝗖𝗼𝗻𝗰𝗲𝗻𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: While their dominance creates a systemic #ConcentrationRisk, they are also the ones best equipped to manage it, investing billions in securing the backbone of global computing. Securing the cloud is now securing the AI economy. 𝗧𝗵𝗲 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆 𝗟𝗲𝗮𝗱𝗲𝗿: Your security strategy can no longer be cloud-agnostic. You must fully leverage your hyperscaler's native, AI-driven security tools. The future of defense is not just with AI, but within the hyperscaler's ecosystem. What is your organization doing to shift from traditional security to this new, hyperscaler backed #AgenticSecurity model? #Cybersecurity #AI #CloudSecurity #Hyperscalers #DigitalTransformation #AWS #Azure #GoogleCloud #AItranformation #OperationTransformation
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