Results for “cloud-monitoring”

Deploys Datadog Cloud SIEM, CSM, and Workload Protection to detect threats, enforce compliance, and respond to security events across cloud and hybrid infrastructure.

Continuously monitor multi-cloud environments for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Azure Defender, and GCP Security Command Center.

Continuously monitor cloud infrastructure for misconfigurations, compliance violations, and security risks using AWS Security Hub, Azure Defender for Cloud, and open-source tools like Prowler and ScoutSuite.

Detect and respond to unauthorized cryptocurrency mining in AWS and Azure environments using cost anomalies, compute utilization, network traffic analysis, and runtime monitoring.

Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.

Collect and analyze logs, snapshots, and metadata from AWS, Azure, and GCP to investigate security breaches in cloud environments.

Assess cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, and IaC security gaps across AWS, Azure, and GCP with MITRE ATT&CK mapping.

Hunt for adversary abuse of legitimate cloud services for C2, data staging, and exfiltration across Azure, AWS, GCP, and SaaS platforms.

Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource isolation, and forensic evidence acquisition adapted for ephemeral cloud infrastructure.

Perform authorized penetration testing against AWS, Azure, and GCP cloud environments using cloud-specific tools and methodologies, with findings mapped to the MITRE ATT&CK Cloud matrix.

Analyze proxy logs, DNS query logs, and netflow data to detect unauthorized SaaS and cloud service usage, classify domains, and flag high-risk services.

Deploy Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations across AWS, Azure, and GCP.

Deploy and operationalize Amazon GuardDuty for continuous threat detection across AWS accounts and workloads, including enabling protection plans, interpreting findings, and building automated response workflows.

Assesses cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, and IaC security gaps across AWS, Azure, and GCP with MITRE ATT&CK mapping.

Monitors dark web forums, marketplaces, paste sites, and ransomware leak sites for mentions of organizational assets, leaked credentials, threatened attacks, and threat actor communications to provide early warning intelligence.

Deploy kernel-level runtime security monitoring on Linux hosts or Kubernetes clusters using eBPF and Cilium Tetragon for process execution tracking, network observability, file access auditing, and runtime enforcement.

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls, and potential data exfiltration using statistical baselines.

Deploy cloud-native deception across AWS, Azure, and GCP using decoy resources that generate high-fidelity alerts when attackers interact with them.

Map AWS and Azure attack paths and find exploitable misconfigurations with CloudFox.

Monitors EVM blockchain addresses and contracts for large transfers, new approvals, contract upgrades, unusual gas spends, MEV interactions, and first-time interactions with new contracts.

Configure privileged session monitoring and recording using CyberArk PSM or open-source alternatives like Teleport, with keystroke logging, real-time alerts, and compliance audit trails.

Analyze network traffic, logs, and data flows to detect potential data exfiltration via DNS tunneling, cloud storage uploads, encrypted channels, and other indicators of compromise.

Query AWS CloudTrail events with boto3, build statistical baselines of normal API activity, and detect anomalies such as unusual event sources, geographic anomalies, high-frequency API calls, and first-time API usage patterns.

Deploys and manages Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Parses Falco alerts for incident response.

Integrate new data sources into SIEM platforms by configuring collectors, parsers, normalization, and validation for security monitoring.

Protect API Gateway endpoints with AWS WAF by configuring managed rule groups, rate limiting, bot control, IP reputation filtering, and monitoring.

Hardens managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity, RBAC scoping, image admission controls, and runtime security monitoring.

Automates SOC 2 Type II audit preparation including gap assessment, evidence collection from cloud providers and identity systems, control testing validation, remediation tracking, and continuous compliance monitoring.

Deploy AWS Config rules for continuous compliance monitoring, including managed and custom rules aligned to CIS and PCI DSS frameworks, automatic remediation with SSM Automation, and multi-account compliance aggregation.