Nearshore Cyber is a global cybersecurity staffing and consulting firm that connects organizations with highly skilled security professionals across disciplines such as GRC, DFIR, CISO‑as‑a‑Service, MDR, SecOps, SIEM, and XDR. The company specializes in nearshore talent acquisition, offering flexible, cost‑effective solutions for clients in the Americas, Latin America, and APAC. By combining deep industry expertise with a strong community network, Nearshore Cyber delivers tailored recruitment, training, and advisory services that help clients meet regulatory frameworks such as NIST CSF and ISO standards. Their unique blend of technical proficiency, regional focus, and collaborative culture positions them as a trusted partner for enterprises seeking to strengthen their cybersecurity posture while optimizing workforce efficiency.
A fast-growing cybersecurity company is seeking a founding AI Security Researcher to build and lead its AI Security Research program from the ground up. The role offers an exceptional opportunity to shape the emerging field of AI security from the ground up—defining the research agenda, uncovering real-world security risks in AI tools and platforms, and helping shape how enterprises can adopt AI safely.
Nearshore Cyber is a global cybersecurity staffing and consulting firm that connects organizations with highly skilled security professionals across disciplines such as GRC, DFIR, CISO‑as‑a‑Service, MDR, SecOps, SIEM, and XDR. The company specializes in nearshore talent acquisition, offering flexible, cost‑effective solutions for clients in the Americas, Latin America, and APAC. By combining deep industry expertise with a strong community network, Nearshore Cyber delivers tailored recruitment, training, and advisory services that help clients meet regulatory frameworks such as NIST CSF and ISO standards. Their unique blend of technical proficiency, regional focus, and collaborative culture positions them as a trusted partner for enterprises seeking to strengthen their cybersecurity posture while optimizing workforce efficiency.
Software Engineering Institute | Carnegie Mellon University