📌 Threat Hunting Summary
Threat hunting is a proactive cybersecurity practice where experts search for signs of hidden threats or attackers in computer systems and networks. Instead of waiting for automated tools to alert them, specialists actively look for unusual patterns or suspicious activities that might indicate a security breach. This helps organisations find and fix problems before they cause major damage.
🙋🏻♂️ Explain Threat Hunting Simply
Imagine your house has security cameras and alarms, but you also walk around regularly checking windows and doors for anything strange. Threat hunting is like being that careful homeowner, looking for clues that something is wrong, even if the alarms have not gone off.
📅 How Can it be used?
A company can use threat hunting to identify and stop cyber attacks before they disrupt business operations.
🗺️ Real World Examples
A financial firm employs cybersecurity analysts to regularly review network logs and user activities. During one review, they spot unusual login attempts from overseas locations. By investigating further, they find and remove malware that had bypassed automatic detection systems.
A hospital’s IT team actively examines their network traffic and discovers strange connections to an unknown server. Their investigation reveals that sensitive patient data was being targeted, allowing them to strengthen their defences and prevent data theft.
✅ FAQ
📚 Categories
🔗 External Reference Links
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎 https://www.efficiencyai.co.uk/knowledge_card/threat-hunting
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
AI for Astrophysics
AI for Astrophysics refers to the use of artificial intelligence techniques, such as machine learning and data analysis, to solve problems and make discoveries in astrophysics. These methods help scientists process huge volumes of data from telescopes and space missions, identifying patterns and signals that might be missed by traditional analysis. AI tools can speed up research, improve accuracy, and help researchers find new objects or phenomena in the universe.
Visual QA Platform
A Visual QA Platform is a software tool that helps teams test and review the look and behaviour of digital products, such as websites or apps, by providing visual feedback. It allows users to spot design differences, check for errors, and make comments directly on screenshots or live interfaces. These platforms streamline the process of ensuring that digital products meet design and functionality expectations before launch.
SLA Automation
SLA automation refers to the use of technology to monitor, manage and enforce Service Level Agreements (SLAs) between service providers and customers. It automates tasks such as tracking deadlines, sending notifications, and escalating issues when service commitments are at risk of being missed. By reducing manual oversight, SLA automation helps ensure that service standards are consistently met and potential problems are addressed quickly.
Cyber Threat Intelligence Feeds
Cyber Threat Intelligence Feeds are streams of information about current and emerging cyber threats, such as malware, phishing sites, or suspicious IP addresses. These feeds are updated regularly and are used by organisations to stay aware of potential risks to their systems. The information can come from a variety of sources, including security vendors, government agencies, or open-source communities, and helps businesses defend against cyber attacks more effectively.
AI-Based Vendor Selection
AI-based vendor selection uses artificial intelligence tools to help organisations choose suppliers or service providers. It analyses data from vendor proposals, performance records, pricing, and other factors to recommend the best matches. This approach can save time and reduce human bias in the selection process, leading to better decisions and improved value for organisations.