Vulnerability assessment tools are software programs or platforms that scan computer systems, networks, or applications for weaknesses that could be exploited by attackers. These tools help identify security gaps, misconfigurations, or outdated software that could make systems vulnerable to cyber threats. By using these tools, organisations can find and fix problems before attackers can take…
Category: Threat Detection and Response
Malware Analysis Frameworks
Malware analysis frameworks are organised systems or software tools designed to help security professionals study and understand malicious software. These frameworks automate tasks like collecting data about how malware behaves, identifying its type, and detecting how it spreads. By using these frameworks, analysts can more quickly and accurately identify threats and develop ways to protect…
Network Threat Analytics
Network threat analytics is the process of monitoring and analysing network traffic to identify signs of malicious activity or security threats. It involves collecting data from various points in the network, such as firewalls or routers, and using software to detect unusual patterns that could indicate attacks or vulnerabilities. By understanding these patterns, organisations can…
Endpoint Protection Strategies
Endpoint protection strategies are methods and tools used to secure computers, phones, tablets and other devices that connect to a company network. These strategies help prevent cyber attacks, viruses and unauthorised access by using software, regular updates and security policies. By protecting endpoints, organisations can reduce risks and keep their data and systems safe.
Threat Detection Automation
Threat detection automation refers to the use of software and tools to automatically identify potential security threats in computer systems or networks. These systems scan data, monitor activity and use set rules or machine learning to spot unusual or suspicious behaviour that could indicate a cyber attack. Automating this process helps organisations respond faster to…
AI for Fraud Detection
AI for Fraud Detection uses computer systems to automatically spot suspicious or dishonest activity, such as unauthorised transactions or false information. By analysing large amounts of data, AI can recognise patterns and behaviours that might indicate fraud. This helps organisations respond quickly and prevent losses.
AI-Driven Threat Intelligence
AI-driven threat intelligence uses artificial intelligence to automatically collect, analyse, and interpret information about potential cyber threats. This technology helps security teams quickly identify new risks, suspicious activities, and attacks by scanning vast amounts of data from multiple sources. By using AI, organisations can respond faster to threats and reduce the chances of security breaches.
Smart Contract Auditing
Smart contract auditing is the process of reviewing and analysing the code of a smart contract to find errors, security vulnerabilities, and potential risks before it is deployed on a blockchain. Auditors use a mix of automated tools and manual checks to ensure the contract works as intended and cannot be exploited. This helps protect…
AI for Cybersecurity Analytics
AI for Cybersecurity Analytics refers to the use of artificial intelligence techniques to detect, analyse, and respond to digital security threats. By processing large volumes of data from networks, systems, and devices, AI can identify unusual patterns or behaviours that might indicate cyber attacks. These systems can automate threat detection and response, helping organisations protect…
Deepfake Detection Systems
Deepfake detection systems are technologies designed to identify videos, images, or audio that have been digitally altered to falsely represent someonenulls appearance or voice. These systems use computer algorithms to spot subtle clues left behind by editing tools, such as unnatural facial movements or inconsistencies in lighting. Their main goal is to help people and…