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

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

Are you prepared for the storm that may be brewing in your cloud environment?  With the right tools and strategies, you can secure your assets and fortify your defenses. Here’s your Advanced Cloud Security Audit Checklist using open-source tools:  ➡️ Cloud Resource Inventory Management   - Use CloudMapper to discover and map all cloud assets.   - Ensure accurate asset tracking for security visibility.  ➡️ IAM Configuration Analysis   - Audit IAM policies with PMapper to identify risks.   - Enforce least privilege access to minimize the attack surface.  ➡️ Data Encryption Verification   - Validate encryption protocols with OpenSSL & AWS KMS.   - Ensure data encryption at rest and in transit.  ➡️ Network Security & Vulnerability Assessment   - Scan security groups & NACLs using Scout2 or Prowler.   - Detect unintended access points and misconfigurations.  ➡️ API Security & Vulnerability Scanning   - Test API authentication with OWASP ZAP or APIsec.   - Identify API weaknesses and prevent unauthorized access.  ➡️ Cloud Penetration Testing & Vulnerability Scanning   - Continuously scan for vulnerabilities using OpenVAS or Nessus.   - Detect and remediate security flaws in cloud infrastructure.  ➡️ IaC Security Auditing   - Review Terraform & CloudFormation with Checkov.   - Detect misconfigurations before deployment.  ➡️ Logging & Cloud Activity Monitoring   - Aggregate security logs using ELK Stack or Wazuh.   - Perform anomaly detection to spot suspicious activity.  ➡️ Cloud Compliance & Regulatory Monitoring   - Automate security compliance checks with Cloud Custodian.   - Ensure adherence to GDPR, HIPAA, and SOC 2 standards.  ➡️ Audit Trail & Incident Response   - Monitor cloud logs using AWS CloudTrail or Google Audit Logs.   - Track administrative activity and detect threats early.  ➡️ MFA Enforcement & Audit   - Verify MFA settings across critical accounts.   - Enforce multi-factor authentication using MFA Checker.  ➡️ Cloud Backup & Disaster Recovery   - Perform integrity checks using Duplicity or Restic.   - Validate recovery point objectives (RPO) and test restores.  Follow Satyender Sharma for more insights !

It took me 5 years and preventing 25+ incidents to learn these 27 security engineering tips. You can learn them in the next 60 seconds: 1. Enforce MFA everywhere, especially for CI/CD, admin panels, and cloud consoles. 2. Use short-lived access tokens with automated rotation to limit blast radius. 3. Implement SAST in PR pipelines to catch vulnerabilities before merging. 4. Add DAST scans on staging environments to detect runtime vulnerabilities. 5. Use secret scanners to prevent credential leaks in repos (TruffleHog, Gitleaks). 6. Enforce least-privilege IAM roles with time-bound elevation workflows. 7. Use container image signing (Sigstore/Cosign) to verify supply chain integrity. 8. Pin dependencies and enable automated patching for third-party libraries. 9. Enforce network segmentation; don't let every service talk to everything. 10. Use Infrastructure-as-Code scanners (Checkov, tfsec) before provisioning infra. 11. Enable audit logging across cloud accounts and stream to a central SIEM. 12. Harden Kubernetes by disabling privileged pods and enforcing PodSecurity. 13. Use eBPF-based runtime monitoring to detect suspicious container behavior. 14. Add WAF in front of public APIs to block OWASP Top 10 patterns. 15. Use API gateways with strict schema validation to prevent injection attacks. 16. Enforce HTTPS everywhere with HSTS and TLS 1.2+. 17. Run vulnerability scans on container registries before deployment. 18. Add anomaly detection on login patterns to catch credential-stuffing early. 19. Use blue-green or canary deployment to contain bad releases safely. 20. Implement rate limiting + IP throttling on all public endpoints. 21. Encrypt data at rest with KMS and enforce key rotation policies. 22. Use service-to-service authentication with mTLS inside clusters. 23. Build threat models for every new large architectural change. 24. Set up incident playbooks and run quarterly tabletop exercises. 25. Use message queues for asynchronous tasks to prevent API overload. 26. Enforce zero-trust: verify identity, device, and context on every request. 27. Monitor everything, logs, metrics, traces, and alert on deviation, not noise. P.S: Follow saed ‎for more & subscribe to the newsletter: https://lnkd.in/eD7hgbnk I am now on Instagram: instagram.com/saedctl say hello

Everyone is talking about the new Threat Technique Catalog for AWS, but what is it and how do you use it? Let’s take a look. 🔍 What it is: Every technique in this catalog comes from real security events #AWS CIRT investigated. They've taken #MITRE ATT&CK techniques and enhanced them with AWS-specific detection methods, plus added ones not already covered that they've observed in the wild. 🎯 How to use it tactically: 📌 Map threats to services you use: Use the sidebar to drill into specific AWS services like S3, IAM, or EC2 and see what attackers have used against them. 📌 Search/monitor CloudTrail for sketchy events: Each technique includes CloudTrail event names (e.g., iam:CreateAccessKey, s3:PutBucketPolicy) so you can build detection logic or hunt for suspicious patterns. 📌 Build playbooks + mitigations: It includes practical detection and mitigation guidance. Use this to update your detection rules or reinforce IAM policies. The catalog organizes techniques by AWS service - ie: if you're securing #S3, you can see exactly how attackers could target S3 and what CloudTrail events to watch for. 💡Example: If you’re worried about S3 #ransomware via SSE-C key encryption, you can go here (https://lnkd.in/eQzEmmTS) and you’ll see: + Pre-requisites for an attacker to pull this off + Specific CloudTrail Event(s) to look for (in this case s3:CopyObject) + How to set up detection + How to mitigate This bridges the gap between theoretical attack frameworks and real-world AWS security monitoring. A lot of us probably already have this info and knowledge (especially if you train with Cybr) but having it all in a central location, with this formatting, and managed by CIRT is a big benefit! 🔗Start here: https://lnkd.in/epefnPU4 #awscommunitybuilders #awssecurity #cloudsecurity