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Check Point Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of external cyber security threats with one unified solution.

We are looking for a Cyber Threat Intelligence Analyst to be an integral part of our Intelligence teams, combining both cutting-edge technology and advanced threat intelligence analysis methodologies to deliver high-impact briefings to our customers

Key Responsibilities
Learning the customer needs and PIRs, configuring their tailored environments in the ERM intelligence platform and supporting the customers with tuning/training throughout engagement
Monitoring and analyzing threats targeting customers, or issues in their digital exposure, in order to produce actionable intelligence alerts and reports.
Investigating intelligence sources, threat actors, attack tools and techniques
Identifying and developing ERM data sources to collect the most relevant intelligence (darknet, forums, social media, marketplaces, etc.) as well as creating and maintaining avatars on these.
Developing the proprietary intelligence platform by surfacing new modules, capabilities and features
Joining meetings with prospects and clients to present deliverables.
Drive cooperation & feedback loops with other ERM teams

Were looking for a Cyber & Data Analyst with a hackers curiosity and a data scientists precision, ready to craft high-fidelity detections and AI-powered insights. Youll be diving into huge log datasets in Azure (ADX), designing custom detection algorithms, and experimenting with advanced statistical models and AI techniques to detect hidden patterns and anomalies. This is a hands-on, impact-driven role where cyber expertise meets big data.

Key Responsibilities
Research, design, and deploy next-gen XDR and NDR detection rules across massive cybersecurity log datasets.
Hunt for unknown threats by analyzing attacker TTPs, malware behaviors, and building proactive detections.
Dive into large-scale data lakes to uncover anomalies, trends, and new detection opportunities, turning raw data into actionable algorithms.
Collaborate with cross-functional teams to build content-driven security features that raise the bar for detection quality.
Experiment with new AI models and advanced analytics to shape the future of cyber detection.

The Security team is looking for a motivated and passionate full-time Security Automation Engineer to join our group.

This is an exciting opportunity to gain real-world experience in cybersecurity, automation, and AI technologies while contributing to Check Point Security.

As part of your role, youll be working with security and IT teams to design and develop intelligent security automated processes.

Key Responsibilities
Lead the AI domain within the Security group, driving strategy, innovation, and implementation of AI/ML initiatives across security operations.
Develop and maintain automated security workflows using Python and AI tools
Collaborate with the Security and other teams to design and refine AI agents and AI-assisted workflows
Support the integration of AI into SIEM/SOAR platforms to enhance incident response and threat intelligence
Learn and contribute to automation monitoring and performance tuning in enterprise environments

At Check Point, security is a strategic priority that underpins our operations and growth. You will be part of a team dedicated to enhancing SaaS Security, strengthening controls across cloud-based platforms, and proactively managing risk. We provide a professional, security-focused environment where your work will directly influence the protection of our data, systems, and users. If youre eager to move fast, make a wide impact, and are the kind of person who gets the job done no matter what were looking for you.

Key Responsibilities
Design and implement security controls across SaaS platforms (e.g., Salesforce, Google Workspace, Microsoft 365, Atlassian, etc.).
Perform security assessments of SaaS integrations and third-party vendors.
Monitor and respond to security alerts and incidents related to SaaS environments.
Drive the development and implementation of IAM (Identity and Access Management) best practices.
Develop and implement proactive monitoring and alerting strategies for SaaS applications.
Conduct threat modeling, risk assessments, and security reviews of new features or integrations.
Stay current with SaaS security trends, vulnerabilities, and best practices.