📌 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
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 Digital Transformation
AI for digital transformation refers to using artificial intelligence technologies to improve or change how organisations operate and deliver value. This can involve automating tasks, improving decision making, and creating new digital services. AI can help businesses become more efficient, responsive, and innovative by analysing data, predicting trends, and supporting better processes.
Quantum Feature Efficiency
Quantum feature efficiency refers to how effectively a quantum computing algorithm uses input data features to solve a problem. It measures the amount and type of information needed for a quantum model to perform well, compared to traditional approaches. Higher feature efficiency means the quantum method can achieve good results using fewer or simpler data features, which can save time and resources.
Graph-Based Analytics
Graph-based analytics is a way of analysing data by representing it as a network of points and connections. Each point, called a node, represents an object such as a person, place, or device, and the connections, called edges, show relationships or interactions between them. This approach helps uncover patterns, relationships, and trends that might not be obvious in traditional data tables. It is particularly useful for studying complex systems where connections matter, such as social networks, supply chains, or biological systems.
Electronic Signature
An electronic signature is a digital way of signing documents and agreements using a computer, tablet, or smartphone. It replaces the need for a handwritten signature on paper and can include typed names, scanned images of a signature, or clicks that confirm agreement. Electronic signatures are legally recognised in many countries and help make signing documents faster and more convenient.
Time Tracking Software
Time tracking software is a digital tool used to record and monitor how time is spent on tasks, projects, or activities. It helps individuals and teams keep accurate records of the hours worked and can generate reports for billing, payroll, or productivity analysis. By using this software, businesses and freelancers can better manage workloads and deadlines, ensuring that work is completed efficiently.