Cyberthreats are evolving rapidly as attackers become increasingly sophisticated and the number of networked devices worldwide continues to grow ‘Cyber Threat Detection Tools’. According to reports, the number of vulnerabilities has increased by 17% over the past year, indicating a steady rise in cyber risks.
Therefore, organisations need to know which leading cyber threat detection tools will impact the cybersecurity market in 2025.
What is a Cyber Threat Detection Tool?
A cyber threat detection tools identifies serious security threats affecting an organisation’s network and assets before they escalate. These tools provide critical insights into vulnerabilities and malicious activity, enabling security professionals to stay up to date on potential threats.
While the solutions focus on threat detection, they provide support at every stage of cyber threat identification and throughout its lifecycle.
Detection: detecting anomalies, suspicious activities, or indicators of compromise in a secure network.
Investigation: Determining the nature, scale and potential impact of identified risks to prioritise response appropriately.
Localisation: isolation of affected systems to prevent further exposure.
Elimination: Removing all traces of a cyber threat from affected systems.
Recovery: Resuming normal operations with minimal disruption to business processes.
Reports: A description of the incident, including findings, response steps, and lessons learned for future investigations.
Prevention: Use the information gained from threat detection to strengthen defences and minimise the likelihood of similar incidents.
Key Features of Cyber Threat Detection Tools
To successfully protect a business from cyber risks, a top-notch threat identification tool should possess the following essential features:
Identify active and inactive cyber threats: For optimal cyber risk coverage, tools must consider both active threats, such as phishing, ransomware, and supply chain attacks, and inactive risks, such as unauthorised systems and zero-day exploits.
Threat data analysis: All collected cyber threat analytical data should be used to support comprehensive and effective response measures. These reports include solution suggestions for the timely detection of cyber risks.
Identifying third-party risks: Given the critical role of external vendors in cybersecurity, the optimal solution will be superior to the cyber threat identification capabilities provided by third-party organisations.
Scalability: Cyber threat detection tools must be compatible with a scalable detection program that leverages automation.
Reducing insider threats: For a cyber threat detection tools to be cost-effective, it must account for the most critical category of cyber threats: insider threats.
Top Cyber Threat Detection Tools
The best cyber threat detection tools are listed based on how effectively they address the five key challenges analysed above:
Recorded Future
Recorded Future is a comprehensive threat analysis solution that identifies and minimises risks across various platforms, including cyber threats, supply chain, physical security, and fraud. Its powerful data analytics aggregate insights from a global cyber threat dataset, providing comprehensive, actionable analytics for real-time risk management. This system provides companies with detailed information about the changing attack surface. This helps them identify threats to prioritise when taking cybersecurity measures.
The solution also effectively tracks hidden risks that could become a threat in the Future, such as brand spoofing attempts, credential theft, and data disclosure. Recorded Future’s attacker forum scan feature allows you to detect target credentials to back up active risk mitigation measures. This provides security services to block targeted accounts before they are exposed to cyber threats. Recorded Future reports streamline the collection and analysis of information from various sources. This information enables the identification of interactions between attackers and the IT infrastructure.
Cyble Vision
Cyble Vision is an artificial intelligence-based solution that provides comprehensive threat analytics by optimising information from the ‘dark’, ‘deep’ and ‘surface’ internet. By integrating external threat analytics with real-time monitoring, this solution provides a centralised platform for detecting and remediating cyber risks. It used technology such as machine learning and natural language processing. This allows you to assess threats related to third-party activities, such as targeted accounts, confidential data leakage, and malware exploitation.
Cyber Vision’s artificial intelligence-based architecture efficiently processes massive datasets comprising more than 350,000 million records from the “dark” internet and 50,000 million threat indicators. The solution also makes it easy to proactively identify insider threats.
CloudSEK Xvigil
CloudSEK XVigil detects active and inactive threats by continuously monitoring the surface, deep, and darknet spaces. The platform provides a comprehensive solution that leverages cyber threat data and attack-surface monitoring to predict and prevent incidents proactively. XVigil provides robust encryption, countering threats such as phishing attacks, data theft, darknet vulnerabilities, brand misuse, and infrastructure risks.
The platform also uses AI to analyse large volumes of data in real time and detect threats such as credential theft, fake domains, phishing attacks, and fake apps. The solution combines comprehensive threat analysis reports with high-priority alerts, enabling security services to use the information and take appropriate action. The platform’s innovative architecture ensures its scalability. Users can integrate different risk identification modules as needed, as cybersecurity programs develop.
Trustwave
Trustwave provides companies worldwide with detection and response management solutions, email security, database security, and managed security services. Emphasising proactive risk management and improving the effectiveness of security measures, Trustwave encourages companies to cut back on much of their threat detection efforts to minimise the lack of internal security resources.
Trustwave fosters scalability by prioritising rapid value creation, enabling new customers to be onboarded in less than 10 days. This structure includes five strategic phases: mobilisation, deployment, planning, operational readiness, and sustainable functioning. This platform also detects significant insider threats using the Fusion platform.
CrowdStrike Falcon
CrowdStrike Falcon is a complete security solution that monitors internet connections to detect and prevent malicious attacks. This solution is effective for proactively detecting and preventing sophisticated cyber threats. It uses artificial intelligence-based attack metrics and sophisticated telemetric analysis to identify emerging threats. Additionally, it uses machine learning techniques to continuously monitor endpoints, cloud workloads, and credentials for fileless threat detection.
The CrowdStrike Falcon channel aggregates cyber threat data from various attack vectors to provide a comprehensive overview of a company’s cyber risks. This information is tracked using real-time attack map metrics.
Rapid7 InsightIDR
Rapid7 InsightIDR is the newest cyber threat detection tools designed to collect and evaluate cyber threat data in an organisation’s IT environment. It combines machine learning, user and entity behaviour analysis (UEBA), and threat analytics to detect active and inactive threats.
The solution continuously tracks network activities, users, and endpoints. In addition, thanks to the integration features, it provides information about the risks associated with third-party threats. Access to external threat data also enables the identification of risks related to supplier actions and supply chain vulnerabilities.
