Cyber Threat Intelligence (CTI) refers to information collected, analyzed, and used to identify, assess, and mitigate cybersecurity threats targeting organizations, networks, and individuals.
CTI provides valuable insights into current and emerging cyber threats, enabling organizations to better understand their adversaries, anticipate attacks, and enhance their cybersecurity posture.
CTI covers a wide range of threats, including malware, phishing attacks, ransomware, advanced persistent threats (APTs), insider threats, and denial-of-service (DoS) attacks, among others.
CTI is collected from various sources, including open-source intelligence (OSINT), commercial threat intelligence feeds, government agencies, industry groups, and internal security data sources such as logs and incident reports.
The key components of CTI include indicators of compromise (IoCs), tactics, techniques, and procedures (TTPs) used by threat actors, attribution information, threat actor profiles, and vulnerability assessments.
Network and System Monitoring is the continuous surveillance and analysis of network infrastructure, servers, and endpoints to detect and respond to anomalies, performance issues, and security threats.
Network and System Monitoring is important for ensuring the availability, performance, and security of IT infrastructure, identifying and resolving issues before they impact business operations, and detecting and mitigating security threats in real-time.
Network and System Monitoring can monitor a wide range of devices and systems, including routers, switches, servers, workstations, firewalls, virtual machines, and cloud services.
Network Monitoring focuses on monitoring network traffic, devices, and connections, while System Monitoring focuses on monitoring server performance, resource utilization, and application health.
Incident response is a structured approach to addressing and managing the aftermath of a security breach or cyberattack. It involves identifying, containing, eradicating, and recovering from security incidents to minimize damage and restore normal operations.
Cyber hunt
Cyber hunt is a proactive cybersecurity approach focused on identifying and mitigating advanced threats that may evade traditional security measures. It involves actively searching for signs of compromise or malicious activity within an organization's network, systems, and endpoints.
Cyber hunt is important because it helps organizations detect and respond to threats that may go undetected by automated security tools. By actively seeking out potential threats, organizations can uncover hidden vulnerabilities, prevent breaches, and reduce the dwell time of attackers in their environment.
The key objectives of cyber hunt include identifying and mitigating advanced threats, reducing the risk of data breaches, enhancing threat intelligence, improving incident response capabilities, and strengthening overall cybersecurity posture.
Unlike traditional cybersecurity approaches that rely primarily on automated security tools and reactive incident response, cyber hunt is proactive and involves human-led, in-depth investigation and analysis to uncover stealthy threats and vulnerabilities that may evade automated detection.
Cyber hunt activities are often conducted by skilled cybersecurity professionals such as threat hunters, security analysts, incident responders, and forensic investigators. These individuals possess specialized knowledge and expertise in identifying and mitigating advanced threats.
Endpoint Detection and Response (EDR)
Endpoint Detection and Response (EDR) is a cybersecurity technology that focuses on monitoring and responding to security threats at the endpoint level. It provides real-time visibility into endpoint activities, detects suspicious behavior or indicators of compromise (IOCs), and facilitates rapid incident response and remediation.
EDR is important because endpoints, such as laptops, desktops, servers, and mobile devices, are common targets for cyberattacks. EDR solutions help organizations detect and respond to advanced threats, including malware, fileless attacks, insider threats, and zero-day exploits, thereby reducing the risk of data breaches and business disruptions.
EDR solutions continuously monitor endpoint activities, collect telemetry data such as process execution, file modifications, network connections, and registry changes, and analyze this data for signs of malicious behavior or suspicious patterns. When a potential threat is detected, EDR triggers alerts and provides actionable insights for incident response.
Key features of EDR solutions include real-time monitoring and alerting, threat detection and analysis, endpoint visibility and telemetry, behavioral analytics, threat intelligence integration, automated response actions, forensics and investigation capabilities, and reporting and compliance support.
While traditional antivirus software focuses on signature-based detection of known malware, EDR goes beyond signature-based detection to detect and respond to a wide range of advanced threats, including fileless attacks, zero-day exploits, and insider threats. EDR provides deeper visibility into endpoint activities and allows for proactive threat hunting and response.
Managed Security Information and Event Management (SIEM)
Managed Security Information and Event Management (SIEM) is a centralized security platform that combines Security Information Management (SIM) and Security Event Management (SEM) to provide real-time analysis of security alerts and events generated by network devices, servers, applications, and endpoints.
Managed SIEM collects, aggregates, and correlates security data from various sources, such as logs, network traffic, and endpoint telemetry. It applies advanced analytics and rule-based detection to identify potential security incidents, generates alerts, and provides actionable insights for incident response and threat mitigation.
Managed SIEM is important because it helps organizations improve their security posture by providing visibility into their IT infrastructure, detecting security threats and breaches in real-time, facilitating rapid incident response, and enabling compliance with regulatory requirements.
Key features of Managed SIEM include log management and correlation, real-time threat detection, incident response automation, user and entity behavior analytics (UEBA), compliance reporting, threat intelligence integration, and centralized dashboard for monitoring and analysis.
Managed SIEM can detect various security events and incidents, including malware infections, unauthorized access attempts, insider threats, suspicious network traffic, data breaches, policy violations, and compliance issues.
SOC resilience
SOC as a Service is a managed security service that provides organizations with access to a virtual or outsourced Security Operations Center (SOC) to monitor, detect, analyze, and respond to cybersecurity threats and incidents.
SOC as a Service works by leveraging a team of security experts, advanced technologies, and threat intelligence to monitor an organization's IT infrastructure, detect security threats and anomalies, investigate alerts, and respond to incidents in real-time.
The key components of SOC as a Service include continuous monitoring and alerting, threat detection and analysis, incident response and remediation, security incident management, threat intelligence integration, and reporting and compliance support.
The benefits of SOC as a Service include improved threat detection and response capabilities, reduced operational burden on internal IT teams, access to specialized security expertise, enhanced visibility into security posture, scalability and flexibility, and cost-effectiveness compared to building and maintaining an in-house SOC.
SOC as a Service is suitable for organizations of all sizes and industries, including small and medium-sized businesses (SMBs), large enterprises, government agencies, and regulated industries such as healthcare, finance, and retail.
Forensics
Digital forensics is the process of collecting, preserving, analyzing, and presenting digital evidence from electronic devices and systems to investigate and prosecute cybercrimes, security incidents, and other illicit activities.
Digital evidence can include files, documents, emails, chat logs, internet history, registry entries, system logs, metadata, network traffic captures, and artifacts from various digital devices such as computers, smartphones, tablets, servers, and IoT devices.
The key steps in a digital forensics investigation typically include identification and preservation of evidence, acquisition of forensic images, analysis of the evidence using forensic tools and techniques, interpretation of findings, and documentation of results for legal proceedings.
Digital forensics can be categorized into various types, including computer forensics (investigating data on computers and storage devices), network forensics (analyzing network traffic and logs), mobile device forensics (examining data on smartphones and tablets), and memory forensics (investigating volatile memory for malware and intrusion analysis).
Digital forensics is used in various scenarios, including criminal investigations, incident response to security breaches, intellectual property theft, employee misconduct investigations, civil litigation, regulatory compliance, and corporate espionage cases.
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