Content Detection Engineer role at Anomali focusing on threat analysis and content detection logic development. Engaging in threat assessment to enhance AI-driven security operations.
Responsibilities
Threat Analysis and Detection: Analyzing various forms of digital content, such as emails, web pages, and files, to detect potential security threats like malware, phishing attacks, or harmful scripts.
Deep Dive into TTPs: Techniques Identification, Tactics Correlation, Procedures Detailing, Detection Mapping.
Development of Detection Rules: Designing and developing detection rules and algorithms using query language operators and functions to automatically detect harmful content.
Research and Keeping Up-to-date: Staying informed about the latest malware trends, attack vectors, and detection technologies.
Testing Custom Detection Tools: Develop Custom Scripts/Tools and evaluate machine learning models that detect malware.
Requirements
Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related field. Additional experience and/or relevant certifications will be considered in lieu of degree.
Proficiency in programming languages such as Python, Java, or C++.
Foundational understanding of Threat Intelligence and detection rules for Malware and malicious campaigns.
Ability to analyze and interpret logs and alerts from various security tools.
Experience with machine learning and artificial intelligence, especially in content recognition and classification.
Familiarity with data analysis and data mining techniques.
Experience with tools and techniques for detecting malware, phishing attempts, and other malicious content.
Knowledge of network security and protocols, including experience with firewalls, intrusion detection systems, and encryption technologies.
2+ years of relevant experience in the cyber security space, doing work relevant to the responsibilities of this position.
Previous experience in threat analysis, content detection or a similar field.
Hands-on experience with machine learning algorithms and tools.
Strong analytical and problem-solving skills.
Attention to detail and accuracy.
Ability to work independently and as part of a team.
Good communication skills, as the role may involve collaborating with other teams and explaining complex concepts to non-technical stakeholders.
Willingness to stay updated with the latest developments in technology, particularly in areas relevant to content detection.
This position is a hybrid position working onsite at our Belfast office. This position is not remote.
This position is not eligible for employment visa sponsorship. The successful candidate must be authorized to work freely in Belfast.
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