Reimagining Security Operations: Inside the Modern Architecture of Microsoft Sentinel” 💡 Why it matters: Sentinel isn’t just another SIEM. It’s a scalable, AI-ready platform that helps SOC teams cut costs, speed up response times, and future-proof their security operations. Cyber threats are evolving at record speed. To keep up, organizations need more than just log collection — they need cloud-native intelligence, automation, and scale. That’s where Microsoft Sentinel comes in. Here’s a breakdown of its modern architecture 👇 ✅ Cloud-Native SIEM + SOAR – Unified platform for threat visibility, proactive hunting, and automated response. ✅ Unified Security Data Lake – Centralizes logs across multi-cloud & hybrid environments, optimized for AI-driven detection. ✅ Dual-Tier Storage – Real-time analytics tier + long-term data lake (up to 12 years). ✅ Flexible Analytics – KQL queries, Jupyter Notebooks, ML insights, and advanced visualization. ✅ Deep Integrations – Defender XDR, Entra ID, M365, plus 300+ third-party connectors. ✅ Automated Response – Playbooks powered by Logic Apps for faster remediation. ✅ Unified SOC Experience – Transitioning into the Defender portal for cross-SOC collaboration and streamlined incident response. 🚀 The future of SOC is cloud-native + AI-powered — and Microsoft Sentinel is that shift.
"Microsoft Sentinel: A Modern SIEM for Scalable Security Operations"
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AI is becoming a core part of modern data protection strategies. 🤖 The new Microsoft Data Security Index reveals that 93% of organizations intend to use AI to enhance their security posture. Why? Because AI reduces false positives, streamlines investigations, and cuts down on incident volume. 📥 Download the report to see how leading security teams are applying AI to accelerate detection, reduce alert fatigue, and protect sensitive data more effectively.
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🚨 Revolutionizing Cybersecurity: Meet GTS - The Next-Generation SOAR Platform🚨 🔥 Just dropped a demo video showcasing our enterprise-grade Global Threat Security (GTS) platform in action! Watch as we transform raw log data into actionable intelligence with real-time threat detection and automated response capabilities. 🎯 What makes GTS special: • AI-Powered Threat Detection: Machine learning algorithms that learn from your environment and detect anomalies before they become incidents • Hybrid Deployment: Deploy on-premises, in the cloud, or anywhere in between - complete flexibility for your infrastructure • Real-Time Processing: Sub-second analysis of massive data streams using Apache Kafka and Elasticsearch clusters • Automated Response: Custom security playbooks that execute remediation actions automatically • Executive Dashboards: C-suite friendly visualizations that turn complex data into strategic insights • Complete SOAR Workflow: From threat detection to incident response, all in one unified platform 💡 Perfect for: • Financial institutions requiring 99.9% uptime • Government agencies needing data sovereignty • Enterprises managing complex, distributed infrastructure • Security teams overwhelmed by alert fatigue 🌍 Why choose GTS? • 53% cost reduction vs international providers • Local data sovereignty compliance • Built for African infrastructure challenges • Scalable from SMB to Fortune 500 📊Ready to see the future of cybersecurity?Check out the demo in the video! #Cybersecurity #SOAR #ThreatDetection #AI #EnterpriseSecurity #DataProtection #NigeriaTech #AfricanTech #DevOps #SecurityOperations #IncidentResponse #MachineLearning #CloudSecurity #NetworkSecurity #DigitalTransformation
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AI is becoming a core part of modern data protection strategies. 🤖 The new Microsoft Data Security Index reveals that 93% of organizations intend to use AI to enhance their security posture. Why? Because AI reduces false positives, streamlines investigations, and cuts down on incident volume. 📥 Download the report to see how leading security teams are applying AI to accelerate detection, reduce alert fatigue, and protect sensitive data more effectively.
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The time to modernize SecOps is upon us. I chat with CISOs and Cyber thought leaders across industries and those conversations are focused on how modern data platforms can provide answers their traditional security tools can't. Databricks' Security Lakehouse is the way of the future: collect and route diverse data sources, ingest seamlessly, normalize for analytics, empower AI-driven detection, power SOC workflows, and deliver actionable insights for compliance and reporting.
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Cisco is leading the way in digital resilience as enterprise machine data and AI-driven operations rapidly scale. With the shift from human to agentic (AI) operations, organizations face new challenges: managing unprecedented data complexity and AI threats that operate at machine speed. At .conf25 in Boston, Splunk is unveiling how their AI-powered security and observability platform is helping global organizations counter these risks in real time. Essentially fighting AI with AI—to improve security, reliability, and business continuity. #splunkconf25 #AI #Cisco #FightAIwithAI #Observability
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C͟y͟b͟e͟r͟s͟e͟c͟u͟r͟i͟t͟y͟,͟ ͟B͟e͟y͟o͟n͟d͟ ͟L͟e͟g͟a͟c͟y͟,͟ ͟F͟u͟l͟l͟y͟ ͟A͟I͟-͟P͟o͟w͟e͟r͟e͟d͟ The days when SIEM and SOAR could handle modern threats are gone. Designed for static log collection, reactive alerts, and manual workflows, they can’t keep pace with the speed, scale, or intelligence that today’s SecOps demands. At Infostream, we welcome the future with a context-aware, AI-native Infostream ONE cybersecurity platform that makes legacy tools obsolete. W͟h͟y͟ ͟L͟e͟g͟a͟c͟y͟ ͟F͟a͟l͟l͟s͟ ͟S͟h͟o͟r͟t͟ Traditional SIEMs search slowly, flood analysts with alerts, and depend on manual rules. SOAR tools add automation, but still rely on human playbooks and fragmented integrations. This slows down triage and drains scarce resources, while attackers utilize AI and automation to reduce dwell times. S͟e͟c͟u͟r͟i͟t͟y͟ ͟f͟o͟r͟ ͟t͟h͟e͟ ͟A͟I͟-͟N͟a͟t͟i͟v͟e͟ ͟E͟r͟a͟ We’ve evolved our approach to meet this challenge: 1. Platform Intelligence – Unified visibility across endpoints, networks, cloud, and applications, with no siloed log stores. 2. AI-Driven Detection – Behavior analytics spot anomalies in east-west and north-south traffic. AI enriches alerts with adversary context and recommended actions. 3. Automated Response – Dynamic workflows isolate hosts or revoke credentials without rigid playbooks. 4. Cloud-Native Design – Data, analytics, and response converge in one platform, replacing SIEM/SOAR complexity. 5. Rapid Onboarding – Flexible pipelines and AI parsers connect cloud, network, and custom data without heavy setup. F͟r͟o͟m͟ ͟F͟r͟o͟n͟t͟l͟i͟n͟e͟ ͟t͟o͟ ͟C͟o͟r͟e͟ ͟R͟e͟s͟i͟l͟i͟e͟n͟c͟e͟ We protect every layer: • Users & Endpoints – Zero Trust and behavioral monitoring across on-prem, hybrid, and remote. • Networks – Micro-segmentation and anomaly detection to stop lateral spread. • Applications & Data – Encryption, immutability, and rapid recovery. • Cloud & Edge – Consistent protection for distributed workloads. • OT & IoT – Visibility and threat detection for industrial and connected devices. B͟u͟i͟l͟t͟ ͟f͟o͟r͟ ͟H͟i͟g͟h͟-͟S͟t͟a͟k͟e͟s͟ ͟C͟o͟n͟t͟i͟n͟u͟i͟t͟y͟ Our cybersecurity safeguards never stop: • While patients receive care • While financial systems process transactions • While factories run automation • While classrooms stay online I͟n͟t͟e͟g͟r͟a͟t͟i͟o͟n͟ ͟I͟s͟ ͟E͟v͟e͟r͟y͟t͟h͟i͟n͟g͟ At Infostream, security isn’t an add-on; it’s built into every solution. We secure the networks we deliver, the compute we deploy, and the infrastructure we manage. Cybersecurity isn’t just defense, it’s resilience engineered for the future. With Infostream’s AI-native Infostream ONE cybersecurity platform, organizations gain adaptive protection that scales with complexity and keeps control in their hands.
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“Ever felt like managing your SOC data is a constant trade-off between visibility and budget? You're not alone—this is the modern SOC dilemma.” SOC teams today face an impossible choice: · Do you reduce log ingestion (and risk blind spots)? · Do you shorten retention (and lose forensic depth)? · Or do you keep it all—and blow up your budget? This is the SOC dilemma of 2025. Data volumes are exploding, but investigations and incident management can’t afford trade-offs. That’s why I’m excited about Microsoft’s latest step forward: the Sentinel Data Lake (announced July 2025). Here’s how it changes the game: 🔹 Unify all signals — Microsoft + 3rd party data, 350+ connectors 🔹 Slash retention costs — keep years of data at <15% of current log costs 🔹 Two-tier storage — fast analytics + long-term forensic retention (up to 12 years) 🔹 AI-ready — enriched data foundation to power Security Copilot and advanced ML hunting 🔹 Integrated TI — threat intelligence included directly in Sentinel & Defender XDR (no extra cost) The outcome? 👉 Investigations that used to take days can now take minutes. 👉 Incident management is faster, deeper, and AI-assisted. Now I’d love to hear from you: · What’s your biggest challenge today in SOC operations—cost, coverage, or context? · How are you preparing to leverage AI in your incident investigations? · If you could keep 12 years of data at low cost, what use cases would you unlock? Vasu Jakkal Iftekhar Hussain Ann Johnson Sanjay Iyer Emmanuele Silanesu Shalabh Pradhan Aman Malhotra Anand Jethalia Shahla K. Ajay Sankhyan Hitesh Kumar Rahul Raina Rahul Badlani Sudeep Das Prasad Patil Zia Shaikh Ranjit Sawant Ashutosh Patankar Vaibhavi Mody Ramit Mittal Aniruddha Mazumder Nishant Gupta Divya Dogra, CISSP 🔗 Read more: Microsoft Sentinel Data Lake announcement https://lnkd.in/dqUCnmS8
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Without unified, long-term visibility, even the most advanced AI models can’t deliver to their full potential. Siloed data means missed cyberthreats, delayed investigations, and underutilized tools. Microsoft Sentinel data lake was purpose-built to solve this challenge and provides the foundation for agentic defense. It brings together all your security data, from Microsoft and third-party sources, into a single, cost-effective data lake, with more than 350 native connectors. Read more: Microsoft Sentinel Data Lake announcement https://lnkd.in/dqUCnmS8
“Ever felt like managing your SOC data is a constant trade-off between visibility and budget? You're not alone—this is the modern SOC dilemma.” SOC teams today face an impossible choice: · Do you reduce log ingestion (and risk blind spots)? · Do you shorten retention (and lose forensic depth)? · Or do you keep it all—and blow up your budget? This is the SOC dilemma of 2025. Data volumes are exploding, but investigations and incident management can’t afford trade-offs. That’s why I’m excited about Microsoft’s latest step forward: the Sentinel Data Lake (announced July 2025). Here’s how it changes the game: 🔹 Unify all signals — Microsoft + 3rd party data, 350+ connectors 🔹 Slash retention costs — keep years of data at <15% of current log costs 🔹 Two-tier storage — fast analytics + long-term forensic retention (up to 12 years) 🔹 AI-ready — enriched data foundation to power Security Copilot and advanced ML hunting 🔹 Integrated TI — threat intelligence included directly in Sentinel & Defender XDR (no extra cost) The outcome? 👉 Investigations that used to take days can now take minutes. 👉 Incident management is faster, deeper, and AI-assisted. Now I’d love to hear from you: · What’s your biggest challenge today in SOC operations—cost, coverage, or context? · How are you preparing to leverage AI in your incident investigations? · If you could keep 12 years of data at low cost, what use cases would you unlock? Vasu Jakkal Iftekhar Hussain Ann Johnson Sanjay Iyer Emmanuele Silanesu Shalabh Pradhan Aman Malhotra Anand Jethalia Shahla K. Ajay Sankhyan Hitesh Kumar Rahul Raina Rahul Badlani Sudeep Das Prasad Patil Zia Shaikh Ranjit Sawant Ashutosh Patankar Vaibhavi Mody Ramit Mittal Aniruddha Mazumder Nishant Gupta Divya Dogra, CISSP 🔗 Read more: Microsoft Sentinel Data Lake announcement https://lnkd.in/dqUCnmS8
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Chapter 6 C͟y͟b͟e͟r͟s͟e͟c͟u͟r͟i͟t͟y͟,͟ ͟B͟e͟y͟o͟n͟d͟ ͟L͟e͟g͟a͟c͟y͟,͟ ͟F͟u͟l͟l͟y͟ ͟A͟I͟-͟P͟o͟w͟e͟r͟e͟d͟ The days when SIEM and SOAR could handle modern threats are gone. Designed for static log collection, reactive alerts, and manual workflows, they can’t keep pace with the speed, scale, or intelligence that today’s SecOps demands. At Infostream, we welcome the future with a context-aware, AI-native Infostream ONE cybersecurity platform that makes legacy tools obsolete. W͟h͟y͟ ͟L͟e͟g͟a͟c͟y͟ ͟F͟a͟l͟l͟s͟ ͟S͟h͟o͟r͟t͟ Traditional SIEMs search slowly, flood analysts with alerts, and depend on manual rules. SOAR tools add automation, but still rely on human playbooks and fragmented integrations. This slows down triage and drains scarce resources, while attackers utilize AI and automation to reduce dwell times. S͟e͟c͟u͟r͟i͟t͟y͟ ͟f͟o͟r͟ ͟t͟h͟e͟ ͟A͟I͟-͟N͟a͟t͟i͟v͟e͟ ͟E͟r͟a͟ We’ve evolved our approach to meet this challenge: 1. Platform Intelligence – Unified visibility across endpoints, networks, cloud, and applications, with no siloed log stores. 2. AI-Driven Detection – Behavior analytics spot anomalies in east-west and north-south traffic. AI enriches alerts with adversary context and recommended actions. 3. Automated Response – Dynamic workflows isolate hosts or revoke credentials without rigid playbooks. 4. Cloud-Native Design – Data, analytics, and response converge in one platform, replacing SIEM/SOAR complexity. 5. Rapid Onboarding – Flexible pipelines and AI parsers connect cloud, network, and custom data without heavy setup. F͟r͟o͟m͟ ͟F͟r͟o͟n͟t͟l͟i͟n͟e͟ ͟t͟o͟ ͟C͟o͟r͟e͟ ͟R͟e͟s͟i͟l͟i͟e͟n͟c͟e͟ We protect every layer: • Users & Endpoints – Zero Trust and behavioral monitoring across on-prem, hybrid, and remote. • Networks – Micro-segmentation and anomaly detection to stop lateral spread. • Applications & Data – Encryption, immutability, and rapid recovery. • Cloud & Edge – Consistent protection for distributed workloads. • OT & IoT – Visibility and threat detection for industrial and connected devices. B͟u͟i͟l͟t͟ ͟f͟o͟r͟ ͟H͟i͟g͟h͟-͟S͟t͟a͟k͟e͟s͟ ͟C͟o͟n͟t͟i͟n͟u͟i͟t͟y͟ Our cybersecurity safeguards never stop: • While patients receive care • While financial systems process transactions • While factories run automation • While classrooms stay online I͟n͟t͟e͟g͟r͟a͟t͟i͟o͟n͟ ͟I͟s͟ ͟E͟v͟e͟r͟y͟t͟h͟i͟n͟g͟ At Infostream, security isn’t an add-on; it’s built into every solution. We secure the networks we deliver, the compute we deploy, and the infrastructure we manage. Cybersecurity isn’t just defense, it’s resilience engineered for the future. With Infostream’s AI-native Infostream ONE cybersecurity platform, organizations gain adaptive protection that scales with complexity and keeps control in their hands.
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𝗪𝗵𝘆 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗡𝗲𝗲𝗱 𝗮 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗖𝗡𝗔𝗣𝗣) As enterprises deepen their multicloud strategies, traditional security models fall short. Cloud-native applications introduce agility—but also amplify complexity and attack surface. A modern security strategy demands an integrated, purpose-built approach. This is where CNAPP enters the equation—offering unified visibility and control across application lifecycles, cloud configurations, and runtime behaviors. 🔐 𝗞𝗲𝘆 𝗖𝗡𝗔𝗣𝗣 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗧𝗵𝗮𝘁 𝗠𝗮𝘁𝘁𝗲𝗿: → 𝗔𝗣𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Secures API endpoints against injection, misrouting, and authentication abuse. Tools like 42Crunch and 𝗦𝗮𝗹𝘁 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 specialize in automated discovery and anomaly detection. → 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Hardens cluster configurations and policies using solutions like 𝗞𝘂𝗯𝗲𝘀𝗰𝗮𝗽𝗲 and kube-bench, guarding against privilege escalations and pod-level threats. → 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Monitors images pre-deployment and enforces runtime protections. 𝗧𝗿𝗶𝘃𝘆 and 𝗙𝗮𝗹𝗰𝗼 help detect CVEs and unauthorized behavior inside containers. → 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: CNAPPs integrate static/dynamic code analysis, WAF capabilities, and shift-left scanning. Look at 𝗖𝗵𝗲𝗰𝗸𝗺𝗮𝗿𝘅 and 𝗦𝗻𝘆𝗸 for deeper integration into CI/CD workflows. → 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Tracks drift and misconfigurations in services like IAM, S3, and EC2. Use policy-as-code tools like Terraform Sentinel or Open Policy Agent to enforce guardrails. → 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: CNAPPs often support frameworks like CIS Benchmarks, GDPR, and SOC 2, streamlining audits with policy automation and reporting. Enterprises seeking to maintain velocity in cloud adoption must prioritize proactive, continuous security. A CNAPP transforms fragmented tooling into a unified platform—monitoring, preventing, and remediating risks in real-time. 🔄 For organizations that rely on large-scale data gathering, behavioral analytics, or threat research at scale, leveraging residential proxy infrastructure—like NetNut.io visibility without compromising performance or legality.
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