Cybersecurity Consultant
Pubblicato il 17-10-2026 - World Food Programme in Pisa
JOB TITLE: Cybersecurity Consultant - Threat Exposure & Vulnerability Management SpecialistTYPE OF CONTRACT:Regular Consultant (CST2)UNIT/DIVISION: Technology Division, Information SecurityDUTY STATION: RemoteDURATION: 11 months BACKGROUND AND PURPOSE OF THE ASSIGNMENT: Under the general supervision of the CISO, the incumbent will lead efforts to enhance the organization's threat exposure & vulnerability management practices. This includes coordinating adversarial validation initiatives - such as penetration testing, threat exposure assessments, red/purple teaming - to identify and assess exploitable vulnerabilities in IT infrastructure and systems. The role focuses on validating risks and gaps, prioritizing remediation and controls, and aligning efforts with business priorities.The incumbent will collaborate with teams to integrate validation results into threat exposure and detection processes, while continuously monitoring, reporting,
and refining adversarial validation practices to minimize organizational risk by addressing critical vulnerabilities and detection gaps.ACCOUNTABILITIES/RESPONSIBILITIES:Main responsibilities include, but not limited to:* Design and coordinate adversarial validation activities such as penetration tests, threat exposure assessments, and red/purple team exercises to identify detection gaps, exploitable weak points and assess their risk impact in real-world scenarios.* Validate findings to confirm exploitability, assess risk levels, and guide prioritization of remediation efforts, leveraging team input and expertise and guiding integration into WFP’s threat exposure management program.* Collaborate with relevant teams and provide technical direction to ensure timely mitigation of validated vulnerabilities or detection gaps.* Develop clear reports and dashboards that highlight key findings, including critical vulnerabilities, attack paths, and remediation progress for stakeholder visibility.* Communicate adversarial validation findings,