'cybersecurity' 검색 결과

Detect unauthorized cryptocurrency mining in cloud workloads by combining billing changes, CPU usage, mining pool connections, and process alerts. Follow workflows to preserve evidence, isolate affected resources, and trace how attackers gained access.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating sudden cloud billing increases
• Responding to GuardDuty cryptocurrency alerts
• Checking containers for unauthorized mining processes

Analyze AWS CloudTrail logs against normal activity patterns to spot unusual API calls, IP addresses, errors, and sensitive changes. Produce a JSON report with anomaly scores, suspicious users, and suggested investigation steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating possible misuse of AWS credentials
• Finding first-time API calls and unusual IP activity
• Reviewing IAM, KMS, and S3 policy changes

Examine Windows endpoint logs for attempts to avoid security detection, including log clearing, altered file timestamps, injected code, and disabled protection. Correlate events to investigate suspicious behavior and develop detection rules with context for legitimate activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating cleared logs and altered file timestamps
• Checking suspected attempts to disable security tools
• Finding abuse of legitimate Windows utilities

Examine recorded calls and voicemails for signs of AI-generated speech. Extract acoustic features, classify samples with machine learning, and prepare reports with confidence scores and sound visualizations to support voice impersonation investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating calls impersonating executives
• Checking suspicious voicemails
• Comparing suspect recordings with genuine voice samples

Analyze Zeek DNS logs for possible data theft hidden in domain queries. The skill examines unusual character patterns, long labels, distinct subdomains, and query volume, then ranks suspicious domains and produces a JSON evidence report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected DNS tunneling
• Finding possible data leaks hidden in DNS queries
• Ranking suspicious domains and identifying source IPs

Analyze Zeek network logs to find lateral movement, when an intruder spreads between internal computers. Examine administrative file sharing, authentication across multiple hosts, and remote service operations to identify suspicious connections and reconstruct incident timelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing spread to other computers after an initial compromise
• Investigating unauthorized transfers to administrative shares
• Finding one account authenticating to many internal hosts

Detect unexpected changes in running containers by comparing them with their original images and monitoring execution and file activity. Use Falco or Microsoft Defender for Containers to investigate changes and guide isolation, replacement, and preventive configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding unexpected binaries executed inside running containers
• Investigating package installations and file changes at runtime
• Checking whether containers still match their approved images

Find dependency confusion risks, where a public package can replace an internal package with the same name. Review dependency files, identify exposed names, and guide registry restrictions and recurring CI checks to prevent substitution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing projects that mix private and public package registries
• Checking exposure after internal package names have leaked
• Restricting package sources to approved private registries

Build automated responses to AWS GuardDuty security findings using EventBridge and Lambda. Configure severity filters, isolate EC2 instances, disable compromised access keys, preserve disk snapshots for investigation, and send notifications to security teams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triggering responses to high-severity GuardDuty findings
• Isolating EC2 instances and preserving investigation data
• Disabling compromised IAM access keys

Identify runtime signs of attackers breaking out of Docker or Kubernetes containers. Review namespace changes, privilege abuse, sensitive host access, and unusual system calls to guide incident investigations and compare monitoring coverage across security tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a suspected Docker or Kubernetes container escape
• Choosing runtime behaviors to monitor for escape attempts
• Comparing escape detection coverage across security sensors

Investigate attacks that make legitimate Windows applications load malicious DLL files. This skill examines loading events, digital signatures, file hashes, and unusual locations, then checks process behavior to document suspicious cases and guide remediation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating alerts about unsigned DLL files
• Hunting for persistent threats using legitimate applications
• Checking suspicious DLL loading paths

Inspect DNP3 traffic, a communication protocol used in industrial control systems, for unauthorized sources and unexpected commands. The skill compares captured traffic with normal patterns and reports suspicious control actions, restarts, and file operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious DNP3 control commands
• Checking substation traffic against normal patterns
• Preparing DNP3 intrusion detection rules

Analyze AWS IAM access policies with boto3 and Cloudsplaining-style checks to find permissions that could grant greater access. Produces a JSON report linking risky permissions to users or roles, with severity ratings and remediation guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit AWS IAM policies for excessive permissions
• Find permission combinations that enable privilege escalation
• Trace risky policies to affected users and roles

Investigate Active Directory authentication logs with Splunk and KQL queries to find signs of Golden Ticket attacks, which use forged Kerberos authentication tickets. Examine encryption mismatches, missing ticket requests, unusual lifetimes, and account inconsistencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hunting for forged tickets after credential theft
• Investigating encryption mismatches in authentication logs
• Checking for persistent access after incident response

Build a screening pipeline for web pages, PDFs, and images before an AI agent reads them. Extract hidden text, check for malicious instructions with detection models, and record decisions to block or allow content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Screening external content before an agent reads it
• Checking uploaded PDFs and images for hidden instructions
• Scanning documents before adding them to a knowledge base

Analyze authentication logs to spot suspicious sign-ins, password attacks, and possible account compromise. Statistical baselines and machine learning help compare login activity with normal user behavior, while example SIEM queries support security investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious sign-in alerts
• Detecting geographically inconsistent logins
• Finding brute force and password spraying

Analyze DNS logs to find signs of hidden data transfers. Use query length, character randomness, traffic volume, and response sizes to identify suspicious domains and support monitoring rules with Python, Suricata, and Splunk examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating possible data theft through DNS traffic
• Ranking suspicious domains found in DNS logs
• Creating DNS tunneling detection rules

Create detection rules and investigation queries from API access logs to flag repeated identifier probing and unusual authorization responses. Helps investigate attempts to access other users’ data and review logging and rate limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected unauthorized API data access
• Creating detection rules for repeated identifier probing
• Reviewing API logging and rate limits

Investigate possible insider threats by correlating endpoint and security logs. Examine unusual data access, off-hours activity, bulk downloads, and privilege abuse, then document supporting evidence, risk, confidence, and recommended actions after checking the context for false positives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating bulk downloads before an employee leaves
• Reviewing data access outside an employee's duties
• Examining unauthorized queries by service accounts

Investigate compromised credentials across AWS, Azure, and GCP by correlating security alerts and audit logs. Examines unusual API activity and suspicious sign-ins, helps assess the affected scope, and guides containment actions such as disabling keys and revoking sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate cloud API activity from unfamiliar locations
• Assess exposure after a credential leak notification
• Correlate suspicious sign-ins across cloud providers

Investigate misuse of application identities in Microsoft Entra ID using audit and sign-in logs. Provides detection queries and investigation steps for suspicious credential additions, privileged role assignments, consent grants, and service principal enumeration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious additions of application credentials
• Reviewing privileged roles assigned to application identities
• Building detection rules for Entra ID identity abuse

Investigate attackers moving between internal systems by correlating login records with network traffic. Supports detection rules, suspicious SMB and RDP activity analysis, and reports showing attack timelines, affected hosts, and monitoring gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating attacker movement across internal systems
• Creating rules for suspicious authentication patterns
• Tracing affected hosts after a PsExec alert

Set up and operate Amazon GuardDuty to detect threats in AWS. Configure protection features, centralize findings across accounts, investigate suspicious activity, and build automated responses with EventBridge and Lambda, including containment of potentially compromised resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up threat detection for AWS accounts
• Investigating credential abuse and compromised instances
• Automating responses to high-severity findings

Investigate suspected email account takeovers by examining audit logs, sign-ins, inbox rules, and app permissions. Identify suspicious forwarding, unlikely travel between sign-ins, and unusual access, then summarize findings and recommended containment actions in a severity-rated report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected business email compromise
• Checking for suspicious external forwarding rules
• Reviewing unusual sign-ins and app permissions