Threat Management is a comprehensive procedure that identifies, prevents, and responds to cyber threats. A robust threat management process is crucial in minimizing the risk of cyberattacks. By proactively addressing potential threats, organizations can enhance their cybersecurity posture and fortify their defenses against evolving digital risks.
Many threat management systems adopt the cybersecurity framework defined by the National Institute of Standards and Technology (NIST). NIST offers extensive recommendations to enhance information security and cybersecurity risk management in private sector entities. Among their resources, the NIST Cybersecurity Framework (NIST CF) incorporates standards and optimal approaches structured around five core functions: identification, protection, detection, response, and recovery.
The initial cyber threat management phase involves a comprehensive assessment of the organization’s essential assets and resources. This process enables a deeper understanding of the business environment, supply chain, governance model, and asset management, facilitating the identification of vulnerabilities, threats, and risks to the assets.
The protect function encompasses deploying security tools, processes, and solutions to protect sensitive information while effectively managing threats and vulnerabilities. This involves the implementation of access controls, identity management, data backup and protection, vulnerability remediation, and comprehensive user training.
The identification function utilizes a cyber threat platform to consistently monitor systems for potential threats, enabling proactive remediation before a disaster strikes. Detection categories include anomalies and events, continual security monitoring, and processes for early identification.
The response function ensures a suitable reaction to cyberattacks and other cybersecurity incidents. Categories within this function encompass planning for responses, communication strategies, analysis, mitigation efforts, and continuous improvement.
Recovery actions put plans into motion for cyber resilience, guaranteeing business continuity in the face of a cyberattack, security breach, or any other cybersecurity incident. Recovery functions involve enhancements in recovery planning and effective communication.
Managing cyber threats helps enterprises prevent data breaches and ensure they are prepared to address security risks when such incidents occur. This proactive approach minimizes damages and lowers the overall costs associated with a data breach. Establishing an efficient threat management system is crucial for prompt breach response. This framework enhances collaboration among individuals, processes, and technology, facilitating organizations in detecting and responding to incidents effectively.
Lacking visibility poses a challenge for security teams, as they may lack the necessary resources to comprehensively understand their entire threat landscape along with the relevant context. Teams often require visibility into internal data, such as HR user details, cloud information, and databases. Additionally, they need visibility into external data, encompassing threat intelligence, dark web data, and information from social media sources.
Security teams may need more insight into crucial Key Performance Indicators (KPIs) and help create progress reports highlighting maturity standards and compliance. This issue is compounded by a need for more integration among the organization’s point solutions. Aligning security teams with a unified organizational goal becomes challenging when teams are measured against different KPIs, contributing to the complexity of managing cybersecurity threats.
Security leaders need help recruiting and retaining qualified talent, compounded by a scarcity of skills in the market and burnout among analysts. The difficulty in securing additional staff budgets has led to innovative approaches, such as leveraging talent from cross-functional units like customer support and technical sales. These individuals undergo training to become proficient in their new roles.
Cyber threats can be broadly categorized into intentional threats, encompassing activities like phishing, spyware, malware, viruses, and denial-of-service (DoS) attacks orchestrated by malicious individuals. On the other hand, unintentional threats arise from human errors, such as clicking on harmful links or neglecting to update security software.
Unified Threat Management (UTM) refers to an information security system within the field of information security (infosec) that serves as a centralized defense against various threats like viruses, worms, spyware, malware, and network attacks. This comprehensive system integrates security, performance, management, and compliance features into a singular setup, streamlining the task for administrators in network management.
Vulnerability refers to flaws in the design, implementation, or operation and management of an asset that a threat could exploit. Threat: A threat is the possibility for a threat agent to take advantage of a vulnerability. Risk: Risk is the likelihood of experiencing a loss when the threats occur.
Signature-based detection utilizes predefined patterns or signatures of known threats to identify and alert against them. While effective for recognized threats, it must match signatures to avoid unknown or evolving threats. Modern malware solutions employ advanced technologies such as behavior analysis, machine learning, sandboxing, and threat intelligence to detect and block threats, surpassing the limitations of signature-based approaches.
Indicator-based detection categorizes files or activity as secure or insecure using predefined indicators. Indicators of compromise (IOCs) are rules guiding this detection, serving as digital clues for malicious activity. Combining IOCs with other detection methods enhances effectiveness. Examples of IOCs include location irregularities, anomalies in Domain Name System (DNS) requests, high volumes of requests for a specific file, and non-human web traffic behavior.
Modeling-based detection establishes a baseline using mathematical models to detect deviations over time. While effective against unknown threats, continuous tuning is necessary.
A platform for Threat Intelligence, such as Cyble Vision, consistently collects and examines worldwide data to identify emerging threats. This approach swiftly detects abnormal behaviors or Indicators of Compromise (IOCs) by comparing current network activity to historical and global patterns. For instance, the surveillance of unusual surges in network traffic across different regions can expose coordinated Distributed Denial of Service (DDoS) attacks or widespread malware outbreaks. See Cyble Vision in Action