Threat Detection Engineer

4 days ago

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Logo of TENEX.AI

TENEX.AI

Cybersecurity • Artificial Intelligence • SaaS

TENEX. AI is a cybersecurity company that specializes in offering AI-driven Managed Detection and Response (MDR) services. They provide comprehensive solutions for threat management, security automation, and rapid incident response, ensuring organizations can detect and neutralize cybersecurity threats in real-time. TENEX leverages advanced AI technology to automate routine security tasks and enhance operational efficiency, allowing enterprises of all sizes to scale their cybersecurity measures and maintain robust protection against emerging threats.

11 - 50 employees

Founded 2024

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Design, develop, implement, and maintain custom detection rules, correlation searches, and alerts within Google Security Operations (SecOps) to identify malicious activity, security incidents, and policy violations. • Utilize your expertise in the SecOps detection engine and YARA-L syntax to create efficient and effective detection logic. • Analyze large datasets of security logs and events from various sources (e.g., cloud platforms, endpoint detection and response (EDR), network devices, applications) to identify patterns and anomalies indicative of threats. • Stay up-to-date with the latest threat intelligence, attack techniques, and security trends to proactively develop new detection strategies. • Collaborate closely with Security Analysts to tune detections logic based on incident analysis and threat landscape changes. • Contribute to the development and maintenance of security documentation, including YARA-L rules, response strategies, playbooks, and operational procedures. • Participate in the evaluation and integration of new security tools and technologies. • Automate detection creation, threat intelligence gathering, and rule deployment. • Provide mentorship, training, and guidance to junior team members.

🎯 Requirements

• Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field (or equivalent practical experience). • Minimum of 5 years of experience in a security operations role, with a strong focus on threat detection and analysis. • Proven experience developing and implementing YARA-L rules within Google Security Operations (SecOps) is essential. • Experience with threat intelligence and its integration into detection strategies. • Deep understanding of security principles, common attack vectors, and threat actor tactics, techniques, and procedures (TTPs). • Strong analytical and problem-solving skills with the ability to analyze complex security logs and identify meaningful patterns. • Proficiency in scripting languages such as Python or similar for automation and analysis. • Experience working with various security technologies and data sources, including but not limited to: Cloud security platforms (e.g., GCP, AWS, Azure), Endpoint Detection and Response (EDR) solutions, Security Information and Event Management (SIEM) systems, Network security devices (firewalls, intrusion detection/prevention systems), Identity and Access Management (IAM) systems. • The ability to effectively communicate technical information to both technical and non-technical audiences. • Ability to work independently and as part of a team in a fast-paced environment.

🏖️ Benefits

• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions. • Collaborate with a talented and innovative team focused on continuously improving security operations. • Competitive salary and benefits package. • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

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