We are looking for an exceptional and passionate Competitive Intelligence Analyst (Technical AI Security Focus) to join Check Points Competitive Intelligence Group. This role sits at the intersection of cutting-edge AI-driven cybersecurity and strategic technical analysis.
If you are highly analytical, deeply technical, passionate about AI security, and motivated by uncovering insights that influence product and go-to-market strategy this is your opportunity to make a real impact. You will research and analyze the evolving AI threat landscape, evaluate emerging technologies, and help shape how Check Point competes and leads in the AI security domain.
Key Responsibilities
Conduct in-depth technical research and hands-on analysis of competitor products and AI security solutions focusing on AI-Security and prevention capabilities
Gather and synthesize intelligence from public sources, customer feedback, analyst reports, and hands-on lab testing to understand and counter competitor claims.
Track and analyze the AI threat landscape, including adversarial AI, generative AI risks, and LLM-related security trends.
Develop competitive materials (battlecards, deep-dive reports, technical comparisons) to empower Check Points sales, marketing, and product teams.
Collaborate with R&D, Product Management, and Threat Intelligence teams to validate findings and identify technical differentiators.
Engage with sales engineers and field teams to deliver competitive enablement sessions, presentations, and webinars.
Monitor and influence analyst firms (Gartner, Forrester, IDC) with data-driven competitive insights about Check Points AI security capabilities.
Support cross-functional strategy initiatives involving AI security positioning, product development, and market readiness.
Work proactively to identify future competitors, market disruptors, and technology shifts related to AI and cybersecurity.
Requirements: 24 years experience in cybersecurity, competitive intelligence, or technical product analysis roles.
Strong understanding of AI/ML technologies and their application in cybersecurity (e.g., detection models, AI-driven analytics, LLM-based tools).
Familiarity with AI threat vectors, including model poisoning, prompt injection, data leakage, and adversarial attacks.
Technical background in network security, cloud security, or endpoint protection mandatory.
Hands-on experience with security vendors such as Check Point, Palo Alto Networks, Cisco, or Fortinet advantage.
Experience with virtualization (VMware) and cloud platforms (AWS, Azure, GCP) advantage.
Knowledge of Threat Prevention, SASE, SaaS Security.
Familiarity with AI governance, responsible AI frameworks, and security evaluation methods plus.
Excellent communication and presentation skills in English (written and spoken).
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