🚨🔍👨💻🛡️ I got few questions about what a Detection Engineers does. Daily tasks range from monitoring security systems to designing and developing detection logic? Here are some common tasks that I perform on given day #Cybersecurity#DetectionEngineer#SecurityOperations#SIEM
1️⃣ Building SIEM Architecture
Some detection engineers build SIEM architecture to collect, process, store, analyze, and respond to security-related data from various sources to identify potential security threats and alerts the security team.
2️⃣ Monitoring Security Systems
Detection engineers monitor security systems, review logs/alerts/reports, identify potential threats, and investigate suspicious activities. Essential in security ops.
3️⃣ Analyzing Threats
Detection engineers analyze threats to create rules, procedures, and algorithms for detection and prevention using statistical analysis, pattern recognition, and machine learning. They must understand different threat types, attack techniques.
4️⃣ Designing and Developing Detection Logic
Detection engineers develop custom logic to detect/respond to threats, ensuring efficiency, scalability & flexibility while minimizing false positives.
5️⃣ Testing Detection Logic
Detection engineers rigorously test detection logic for accuracy against simulated & real-world threats. Testing is iterative, refining logic based on results.
6️⃣ Collaborating with Other Security Professionals
Detection engineers collaborate with security analysts and threat intelligence teams to develop a strong security strategy and respond to incidents. Collaboration is key.
7️⃣ Documentation
Documentation is key for detection engineers. Rules, procedures, and algorithms must be well-documented to facilitate future reference and training, as well as updating the detection logic.
8️⃣ Continuous Improvement
Detection engineers continuously improve their detection logic to remain effective against evolving threats. Staying up-to-date with the latest trends and best practices is key to maintaining a strong security posture and responding to new threats.
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📚🔒👀 Need a good book this weekend? Want to be a Detection Engineer? Want to level up your detection game? Look no further! Check out my personal reading recommendations on the history and evolution of detection. #cybersecurity#detectionengineering#books#readinglist 🤓📖
1️⃣ First up is "An Intrusion Detection Model" by Dorothy Denning, a pioneering 1987 paper that proposes a model for intrusion detection consisting of data collection, analysis, and management.
2️⃣ "Detection Engineering: Defending Networks with Purpose" by Peter Di Giorgio discusses the importance of custom detection logic in network security.
Are you interested in becoming a Detection Engineer? 🕵️♂️🔎
Detection Engineers play a crucial role in identifying and preventing security breaches in organizations. But what skills do you need to become one? Here's a road map to guide you. #DetectionEngineer#CyberSecurity
Technical Skills: A strong foundation in network security technologies, protocols, programming languages, and tools like IDPS, firewalls, and SIEM systems is essential.
Cybersecurity Knowledge: Understanding common attack methods, threat actors, and security best practices is crucial for detecting and preventing security breaches.
My quick and dirty list of not-so-obvious complementary skills for Detection Engineers. These are the things I study on my "low-tech" days. Most of these are mindset/procces centric and require minimal technology. #infosec#CyberSecurity#DetectionEngineers#BlackTechTwitter
First up, Statistical Analysis. Statistical analysis is the process of collecting and analyzing data in order to discern patterns and trends. This is useful when establishing baselines and identifying anomalies. simplilearn.com/what-is-statis…
Second, Reasoning. Understanding the different types of reasoning and when you should apply them will allow you to efficiently analyze massive amounts of data. indeed.com/career-advice/…
Here’s my quick an dirty lab workout for Detection Engineers. I do this work out 2 to 3 times a week for about 2 hours. #CyberSecurity#infosec#BlackTechTwitter
First you’ll need a lab. I don’t romanticize the struggles of building a lab. Sure, you learn a lot but you’re trying to start building detections. So I recommend using an automated set up like this one. github.com/clong/Detectio…
Next, you’ll need a way to simulate a text to your environment. My favorite for beginners is @redcanary’s atomic request team github.com/redcanaryco/at…