How to Improve Cloud Threat Detection in Organizations

🛡️ Stop Guessing. Start Detecting. Modern cyber attacks don’t knock they infiltrate, escalate, and persist. Just reviewed the Cybersecurity Attack Detection & Response Playbook 2025 and it’s one of the most comprehensive, field-tested, and actionable guides I’ve seen this year. 💥 What’s inside? 🔍 14 full playbooks with detection logic, response actions, forensics, recovery & SIEM rules: ✅ Abuse of Cloud IAM Roles (AWS, Azure, GCP) ✅ MFA Fatigue Attacks & Consent Phishing ✅ Business Email Compromise (BEC) ✅ Ransomware via Lateral Movement ✅ Living off the Land (LOTL) with LOLBins/WMI ✅ Cloud Crypto Mining & Cost Hijacking ✅ SQL Injection, Insider Threats, USB Drops ✅ Supply Chain Attacks via CI/CD Pipelines ✅ OAuth Token Abuse, Deepfake Identity Threats, and more… Each section includes: • 📍 MITRE technique mappings • 🧠 Purple team simulation tips • 🛠️ Real-world detection rules (SIEM-ready) • 🔥 Lessons learned from high-impact breaches 🎯 Perfect for: • SOC engineers & threat hunters • Red & blue teams building detection logic • CISO and IR leads aligning with MITRE/CTI • Cybersecurity students & instructors building labs • Anyone serious about operational defense in 2025+ 📩 Want the full PDF or a visual map of these attack flows? Comment RESPONDPWNED or DM me. 👉 Let’s crowdsource something useful: Which detection use case do you think orgs overlook the most MFA fatigue, USB drops, or OAuth abuse? Let’s build a detection wishlist in the comments👇 #CyberSecurity #IncidentResponse #SIEM #SOC #MITREATTACK #ThreatDetection #BlueTeam #RedTeam #CloudSecurity #SOCPlaybook #DefenseInDepth #DetectionEngineering #CTI #SIEMRules #ThreatHunting #PurpleTeam #SecurityOperations #IAMSecurity #BEC #RansomwareResponse #SecurityAwareness #ZeroTrust

If you want to scale threat detection, learn from companies like Google that operate at unprecedented scale. With over 180,000 employees, the largest Linux fleet in the world, and a sprawling infrastructure, Google faces security challenges most of us can’t imagine. Yet they’ve driven attacker dwell time down to mere hours. Here’s how: 1. Automate the hunt At Google, 97% of alerts come from automated “hunts,” sifting through logs at scale. Humans jump in only for the nuanced calls. Generative AI slices the time writing executive summaries by 50%—because speed matters. 2. Collaborate early & often Successful threat hunts start with threat modeling—partnering with system owners to understand real risks. Postmortems don’t just dissect incidents; they reveal logging gaps so the next detection is sharper. 3. Know your assets You can’t protect what you don’t see. Google uses automated asset inventory in the cloud, ensuring shadow IT doesn’t slip through. Attackers love unmonitored corners—don’t give them any. 4. Own your alerts At Google, the engineers who write detections also triage them. That accountability means alerts are finely tuned—and cuts down the noise that leads to burnout or missed threats. 5. Security engineering = Software engineering Detection logic is code, and code needs testing, iteration, and documentation. Google’s security teams treat detections like a product—constantly evolving to outpace attackers. ↓ ↓ ↓ Modern threat detection isn’t just about tools—it’s about strategy, collaboration, and relentless iteration.

🌍International Guidance for Enhanced Cybersecurity: Best Practices for Event Logging and Threat Detection🌍 The Australian Government's Australian Cyber Security Centre (ACSC), in collaboration with global partners like the #NSA, #CISA, the UK's #NCSC, and agencies from Canada, New Zealand, Japan, South Korea, Singapore, and the Netherlands, has released a comprehensive report on best practices for event logging and threat detection. 🚀The report defines a baseline for event logging best practices and emphasizes the importance of robust event logging to enhance security and resilience in the face of evolving cyber threats. Why Event Logging Matters: Event logging isn't just about keeping records—it's about empowering organizations to detect, respond to, and mitigate cyber threats more effectively. The guidance provided in this report aims to bolster an organization’s resilience by enhancing network visibility and enabling timely detection of malicious activities. 🔍 Key Highlights: 🔹Enterprise-Approved Event Logging Policy: Develop and implement a consistent logging policy across all environments to enhance the detection of malicious activities and support incident response. 🔹Centralized Log Collection and Correlation: Utilize a centralized logging facility to aggregate logs, making detecting anomalies and potential security breaches easier. 🔹Secure Storage and Event Log Integrity: Implement secure mechanisms for storing and transporting event logs to prevent unauthorized access, modification, or deletion. 🔹Detection Strategy for Relevant Threats: Leverage behavioral analytics and SIEM tools to detect advanced threats, including "Living off the Land" (LOTL) techniques used by sophisticated threat actors. 📊 Use Case: Detecting "Living Off the Land" Techniques: One highlighted use case involves detecting LOTL techniques, where attackers use legitimate tools available in the environment to carry out malicious activities. The report showcases how the Volt Typhoon group leveraged LOTL techniques, such as using PowerShell and other native tools on compromised Windows systems, to evade detection and conduct espionage. Effective event logging, including process creation events and command-line auditing, was crucial in identifying these activities as abnormal compared to regular operations. Couple this report with the CISA Zero Trust Maturity Model (ZTMM): The report's best practices align with CISA's ZTMM's Visibility and Analytics capability. By following these publications, organizations can progress along their maturity path toward optimal dynamic monitoring and advanced analysis. (Full disclosure: I was co-author of CISA's ZTMM) 💪Implementing these best practices from the Australian Signals Directorate & others is critical to achieving comprehensive visibility and security, aligning with global cybersecurity frameworks. #cybersecurity #zerotrust #digitaltransformation #technology #cloudcomputing #informationsecurity

I recently led a couple of cloud-incident workshops, got a lot of great questions, had wonderful exchanges, frankly learned a lot myself, and wanted to share a few takeaways: • 𝗔𝘀𝘀𝘂𝗺𝗲 𝗯𝗿𝗲𝗮𝗰𝗵 - 𝘀𝗲𝗿𝗶𝗼𝘂𝘀𝗹𝘆: Treat "when, not if" as an operating principle and design for resilience.    • 𝗖𝗹𝗮𝗿𝗶𝗳𝘆 𝘀𝗵𝗮𝗿𝗲𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Most gaps aren’t exotic zero-days - they’re governance gray zones, handoffs, and multi-cloud inconsistencies.    • 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗶𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗽𝗹𝗮𝗻𝗲: MFA everywhere (but not enough), push passwordless, least privilege by default, regular access reviews, strong secrets management, and a push to passwordless.    • 𝗠𝗮𝗸𝗲 𝗳𝗼𝗿𝗲𝗻𝘀𝗶𝗰𝘀 𝗰𝗹𝗼𝘂𝗱-𝗿𝗲𝗮𝗱𝘆: Extend log retention, preserve/analyze on copies, verify what your CSP actually provides, and rehearse with legal and IR together.    • 𝗗𝗲𝘁𝗲𝗰𝘁 𝗮𝗰𝗿𝗼𝘀𝘀 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀: Aggregate logs (AWS/Azure/GCP/Oracle), layer in behavior-based analytics/CDR, and keep a cloud-specific IR/DR runbook ready to execute.    • 𝗕𝗼𝗻𝘂𝘀 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗰𝗵𝗲𝗰𝗸: host/VM escapes are rare - but possible. Don’t build your program around unicorns; prioritize immutable builds, hardening, and hygiene first. If you’d like my cloud IR readiness checklist or the TM approach I’ve been using, drop a comment, and we’ll share. Let’s raise the bar together. #CloudSecurity #IncidentResponse #ThreatModeling #CISO #DevSecOps #DigitalForensics #MDR EPAM Systems Eugene Dzihanau Chris Thatcher Adam Bishop Julie Hansberry, MBA Ken Gordon Sharon Nimirovski Aviv Srour

Decoding Proactive Cloud Threat Hunting: Know the Logs and Their Gaps 🛡️ Scenarios like tenant takeover, lateral movement across hybrid environments, backdooring applications, token theft, and many more are in the wild. Recent investigations have shown us that no one is immune. Furthermore, many environments are unprepared for cloud investigation and have many gaps. Cloud Threat hunting can be the first step to minimizing the gaps and knowing weaknesses. 🔒 Cloud Enumeration: An adversary leveraging recon tactics within your cloud environment. Vigilant log analysis can uncover covert reconnaissance attempts by detecting request frequencies and unconventional service discovery patterns. 🔑 Exposed Access Keys: Scrutinizing aberrant access key patterns and upholding the principle of least privilege, serving as bulwarks against unwarranted ingress. 🗃️ Storage Canaries: Strategically positioning bait files as triggers, instantly notifying deviations from normalcy, such as unauthorized access or tampering in cloud storage. 🌐 Suspicious Network Traffic: Monitor egress network traffic, unearthing anomalies indicative of data exfiltration or command and control communication. 🛡️ Privilege Escalation Attempts: Conduct periodic user permissions audits fortified by multi-factor authentication to erect barriers against undue privilege escalation. Recommendations for Cloud Threat Hunting > Know the gaps: Cloud logs provide rich information, but not all of it. Know the gaps and complete the missing part. > Scenario-Based Detection: Tailor your threat-hunting efforts to specific scenarios, leveraging the appropriate logs for each platform. > Incident Response Playbooks: Develop and maintain cloud incident response playbooks tailored to specific cloud environments and scenarios. > Continuous Improvement: Continuously improve your threat hunting and IR processes based on lessons learned from previous incidents. #security #cybersecurity #informationsecurity

Dear IT Auditor, Cloud Security Misconfigurations: An IT Auditor’s Perspective Cloud adoption has unlocked agility, scalability, and cost savings, but it has also introduced one of the most pervasive risks: misconfiguration. Many cloud breaches aren’t caused by hackers exploiting sophisticated vulnerabilities. Instead, they stem from something as simple as a misconfigured storage bucket, overly permissive access policy, or unmonitored API. For IT auditors, the role is not to become cloud engineers but to understand where the risks lie and how to evaluate them. 📌 Inventory of Cloud Assets: Begin by verifying whether the organization maintains a complete and up-to-date inventory of cloud services. Shadow IT often leads to unsanctioned services bypassing security reviews. An incomplete inventory is an immediate red flag. 📌 Access Management Risks: Cloud misconfigurations often involve “open to the world” settings. Auditors should test IAM (Identity and Access Management) policies for least privilege, role segregation, and MFA enforcement. Review logs of administrative activity to detect privilege abuse. 📌 Storage and Data Exposure: Misconfigured storage buckets, databases, or data lakes can leave sensitive data publicly accessible. Audit evidence includes configuration exports, encryption settings, and access controls. Look specifically for defaults that were never tightened. 📌 Network Security: Cloud environments are highly configurable. Confirm that firewalls, security groups, and routing tables are aligned with the design. Misconfigured network rules can unintentionally allow external traffic to sensitive workloads. 📌 Logging and Monitoring: Even the best controls can fail if no one’s watching. Auditors should validate that cloud-native logging (e.g., AWS CloudTrail, Azure Monitor, GCP Audit Logs) is enabled, retained, and reviewed. Misconfigurations often persist because alerts are ignored. 📌 Automation and Continuous Monitoring: At scale, manual reviews won’t cut it. Strong organizations use automated scanners and CSPM (Cloud Security Posture Management) tools. Auditors should request evidence from these tools to verify that misconfigurations are being detected and remediated. 📌 Vendor Shared Responsibility: A common misconception is assuming the cloud provider handles all security. Auditors must assess whether the organization understands and documents its responsibilities vs. those of the vendor. Misconfigurations often occur in customers' areas of shared responsibility. Cloud misconfigurations aren’t just technical issues; they’re governance gaps. Effective audits in this space provide assurance that organizations aren’t just “lifting and shifting” risks to the cloud but managing them with maturity. #CloudSecurity #ITAudit #CyberSecurityAudit #CloudAudit #RiskManagement #InternalAudit #ITControls #ITRisk #GRC #CloudMisconfiguration #ITGovernance #CyberVerge #CyberYard

I spent over two decades years chasing threats most people never see coming. Russian state hackers just made your supply chain their playground. Amazon's threat intel team confirmed APT29, Russia's elite cyber unit, and more commonly known as COZY BEAR, has been weaponizing cloud infrastructure to target Western critical infrastructure for years. Not theoretical. Not someday. Right now. Here's what should be keeping Logistics decision makers up at night: They're using AWS, Azure, and Google Cloud as command-and-control hubs. Your logistics systems, vendor portals, and supply chain software all run on these platforms. The lesson? Nation-state actors don't care about your firewall. They're already inside the infrastructure you trust. Three actions for logistics leaders today: 1. Audit your cloud security posture across all providers 2. Implement zero-trust architecture for supply chain access 3. Train your team to recognize sophisticated phishing—APT29 is patient and convincing This isn't an IT problem. It's a business continuity crisis waiting to happen. When your distribution network goes dark because of a nation-state attack, your customers won't care about the technical details. They'll remember you weren't prepared. What's your organization doing to harden supply chain infrastructure against state-sponsored threats? https://lnkd.in/ec65efzP

𝗗𝗮𝘆 𝟭𝟬: 𝗣𝗿𝗲𝗽𝗮𝗿𝗲𝗱𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 We know the cost of response can be 100 times the cost of prevention, but when unprepared, the consequences are astronomical. A key prevention measure is a 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗲𝗳𝗲𝗻𝘀𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 to anticipate and neutralize threats before they cause harm. Many enterprises struggled during crises like 𝗟𝗼𝗴𝟰𝗷 or 𝗠𝗢𝗩𝗘𝗶𝘁 due to limited visibility into their IT estate. Proactive threat management combines 𝗮𝘀𝘀𝗲𝘁 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆, 𝘁𝗵𝗿𝗲𝗮𝘁 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝗶𝗻𝗰𝗶𝗱𝗲𝗻𝘁 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲, and 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. Here are few practices to address proactively: 1. 𝗔𝘀𝘀𝗲𝘁 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 Having a strong understanding of your assets and dependencies is foundational to security. Maintain 𝗦𝗕𝗢𝗠𝘀 to track software components and vulnerabilities. Use an updated 𝗖𝗠𝗗𝗕 for hardware, software, and cloud assets. 2. 𝗣𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗧𝗵𝗿𝗲𝗮𝘁 𝗛𝘂𝗻𝘁𝗶𝗻𝗴 Identify vulnerabilities and threats before escalation. • Leverage 𝗦𝗜𝗘𝗠/𝗫𝗗𝗥 for real-time monitoring and log analysis. • Use AI/ML tools to detect anomalies indicative of lateral movement, insider threat, privilege escalations or unusual traffic. • Regularly hunt for unpatched systems leveraging SBOM and threat intel. 3. 𝗕𝘂𝗴 𝗕𝗼𝘂𝗻𝘁𝘆 𝗮𝗻𝗱 𝗥𝗲𝗱 𝗧𝗲𝗮𝗺𝗶𝗻𝗴 Uncover vulnerabilities before attackers do. • Implement bug bounty programs to identify and remediate exploitable vulnerabilities. • Use red teams to simulate adversary tactics and test defensive responses. • Conduct 𝗽𝘂𝗿𝗽𝗹𝗲 𝘁𝗲𝗮𝗺 exercises to share insights and enhance security controls. 4. 𝗜𝗺𝗺𝘂𝘁𝗮𝗯𝗹𝗲 𝗕𝗮𝗰𝗸𝘂𝗽𝘀 Protect data from ransomware and disruptions with robust backups. • Use immutable storage to prevent tampering (e.g., WORM storage). • Maintain offline immutable backups to guard against ransomware. • Regularly test backup restoration for reliability. 5. 𝗧𝗵𝗿𝗲𝗮𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 Stay ahead of adversaries with robust intelligence. • Simulate attack techniques based on known adversaries like Scatter Spider • Share intelligence within industry groups like FS-ISAC to track emerging threats. 6. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆-𝗙𝗶𝗿𝘀𝘁 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 Employees are the first line of defense. • Train employees to identify phishing and social engineering. • Adopt a “𝗦𝗲𝗲 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴, 𝗦𝗮𝘆 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴” approach to foster vigilance. • Provide clear channels for reporting incidents or suspicious activity. Effectively managing 𝗰𝘆𝗯𝗲𝗿 𝗿𝗶𝘀𝗸 requires a 𝗰𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗽𝗲𝘀𝘀𝗶𝗺𝗶𝘀𝗺 𝗮𝗻𝗱 𝘃𝗶𝗴𝗶𝗹𝗮𝗻𝗰𝗲, investment in tools and talent, and alignment with a defense-in-depth strategy. Regular testing, automation, and a culture of continuous improvement are essential to maintaining a strong security posture. #VISA #Cybersecurity #IncidentResponse #PaymentSecurity #12DaysOfCybersecurityChristmas

Been drinking from the firehose this past 30 days. In my new role, I’ve been in a lot of meetings with our Product team — hearing them talk about the threat landscape today. And then listening to the stories of customers coming over to us because their traditional perimeter defenses failed or how they thought they were covered by the brand name SAAS tool — only to find simply wasn’t enough. Here’s what I’m learning from listening to customer stories: - Proactive vs. Reactive: Cyber adversaries have moved beyond the rudimentary attacks of the past. CISOs who are winning today are making a shift to MDR —- from reactive firefighting to proactive threat hunting. In an era where adversaries leverage automation and advanced persistent threats, waiting for alerts to trigger responses is a risk no organization can afford. - The Human-Machine Synergy: Modern MDR solutions don’t merely rely on automated systems. They marry the precision of machine analytics with the intuition and expertise of human threat hunters. This dual approach is critical: while algorithms can spot anomalies, seasoned analysts can discern subtle indicators of compromise that machines might miss. - Continuous Improvement and Adaptive Intelligence: Static defenses are a thing of the past. Cyber threats evolve rapidly, and so must our detection capabilities. MDR providers invest continuously in threat intelligence and advanced analytics, ensuring that your security posture adapts in real time. This means investing in a solution that evolves as quickly as the threat landscape. - Resource Optimization: Building and maintaining an in-house team with the required level of expertise is not just challenging but cost-prohibitive. MDR offers an opportunity to augment internal capabilities with external experts who provide specialized, round-the-clock monitoring. A strategic partnership allows organizations to focus on core business priorities without compromising core security principles. - Strategic Decision Making: the value of MDR extends beyond operational benefits. It provides critical insights that empower informed decision-making at the executive level. By leveraging detailed threat intelligence and comprehensive incident response data, leaders can better articulate risk, justify investments, and steer organizational resilience strategies. It’s becoming clear to me that MDR isn’t just another layer in the stack—it’s a strategic advantage that transforms how CISOs detect, respond to, and ultimately prevent cyber threats.

For SOCs, it’s not just the hackers that pose a threat - it’s the avalanche of data that buries real signals under noise. Security logs, once the fuel for detection, are now both an asset and a liability. The flood of redundant, misaligned, or uncurated telemetry drains not just budgets - but analysts. The challenge isn’t just collecting data - it’s collecting the right data, in the right shape, at the right time. Security tools generate logs by the terabyte. Yet most organizations lack a strategy to qualify, contextualize, or prioritize what enters their SIEMs. As a result: ▪ Real threats get buried in noise. ▪ False positives clutter dashboards, wasting attention. ▪ Costs balloon from excessive licensing and storage. To move from reactive firefighting to proactive defense, SOCs must elevate telemetry management as a core security function. Here's how leading teams do it: 1. Precision Filtering, Not Blanket Collection Start with a threat-informed view: what data truly supports detections? Eliminate noise - e.g., suppress successful login logs unless from unusual geographies or times. 2. Normalization and Enrichment as Multipliers Standardize formats and enrich with business context - asset criticality, user identity, threat intel, geolocation. This transforms raw logs into events that trigger rules more accurately and reduce triage ambiguity. 3. Retention That Reflects Risk Abandon “store everything” habits. Align retention with risk: real-time detection data stays hot; compliance data can go cold. 4. Use Case-Driven Collection Let strategy guide ingestion. Data should map to real correlation rules, MITRE ATT&CK coverage, or compliance needs. If it doesn’t, reconsider ingesting it. Log optimization isn’t just about saving money, it enables: ▪ Faster decision-making ▪ Reduced alert fatigue ▪ Stronger detection fidelity When telemetry pipelines are treated with the same rigor as detection logic or incident response, the SOC becomes sharper and more effective. Final thought…. Data isn't your greatest asset - useful data is. 👉Ask Yourself Are you collecting data to feel secure - or to be secure? #CyberSecurity #SOC #SecOps #ThreatDetection #Telemetry #DataStrategy #DataQuality #OptimizeLogs #LogReduction #SecurityEfficiency #SIEMOptimization #AlertFatigue #TelemetryPipeline