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Remote Security Risk Assessment Jobs in Benbrook, TX

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Remote Security Risk Assessment information

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$69

How much do remote security risk assessment jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote security risk assessment in Benbrook, TX is $50.22, according to ZipRecruiter salary data. Most workers in this role earn between $40.72 and $59.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Security Risk Assessor, and why are they important?

To thrive as a Remote Security Risk Assessor, you need expertise in cybersecurity principles, risk analysis, and a relevant degree or certifications such as CISSP, CISM, or CRISC. Familiarity with tools like vulnerability scanners, security information and event management (SIEM) systems, and risk assessment frameworks (e.g., NIST, ISO 27001) is essential. Strong analytical thinking, communication skills, and attention to detail help in accurately identifying and communicating risks to stakeholders. These skills and qualities are vital to ensure organizations can proactively mitigate threats and maintain robust security postures in remote or distributed environments.

What is the difference between Remote Security Risk Assessment vs Cybersecurity Analyst?

AspectRemote Security Risk AssessmentCybersecurity Analyst
CredentialsCertifications like CISSP, CISA, CISMCertifications like CompTIA Security+, CISSP, CEH
Work EnvironmentRemote or on-site, focusing on risk evaluationRemote or on-site, focusing on security monitoring and incident response
Industry UsageUsed in risk management, compliance, and audit contextsUsed in security operations, threat analysis, and incident handling

Remote Security Risk Assessments and Cybersecurity Analysts both require security certifications and often work in similar environments. However, risk assessors focus on evaluating vulnerabilities and compliance, while analysts handle ongoing security monitoring and incident response. Understanding these differences helps organizations assign the right roles for their security needs.

What is a Remote Security Risk Assessment?

A Remote Security Risk Assessment is a process where security professionals evaluate an organization's security risks, vulnerabilities, and threats without being physically present on-site. This assessment is typically conducted through virtual meetings, digital questionnaires, and remote access to systems and documentation. The goal is to identify potential security gaps and recommend improvements to protect sensitive data and systems from cyber threats. Remote assessments have become increasingly popular due to their flexibility, cost-effectiveness, and ability to serve organizations regardless of location.

What are some common challenges faced by professionals in remote security risk assessment roles?

Professionals in remote security risk assessment often encounter challenges such as limited on-site visibility, reliance on digital communication, and the need to assess complex IT environments from afar. Effective collaboration with on-site staff and stakeholders is essential to gather accurate information and implement recommendations. Additionally, staying up-to-date with evolving cybersecurity threats and maintaining clear documentation are vital for success in this role.
What cities near Benbrook, TX are hiring for Remote Security Risk Assessment jobs? Cities near Benbrook, TX with the most Remote Security Risk Assessment job openings:
Remote Security Risk Assessment jobs near you

Sr Ai Security Engineer

Futran Tech Solutions Pvt. Ltd.

Fort Worth, TX • On-site, Remote

$109K - $150K/yr

Full-time

Re-posted 10 days ago

Job description

Job Title: Sr AI Security Engineer
Location : Fort Worth, TX, Hybrid is preferred, but remote will work
Job Summary
We are seeking an experienced AI Security Engineer to ensure AI systems built on AWS and Azure are secure, compliant, and resilient, with Microsoft Copilot as the primary user experience layer. The role is responsible for implementing data protection, threat detection, guardrails, and ongoing risk monitoring across the full AI lifecycle, from model development and RAG pipeline construction through to production deployment and Copilot-integrated workflows. The candidate will work closely with AI Architects, AI Engineers, and enterprise security teams to embed security and responsible AI principles at every layer of the AI stack.
Key Responsibilities
AI Threat Modelling & Risk Assessment
Conduct threat modelling and security risk assessments across the AI lifecycle, covering data ingestion, model training, RAG pipelines, agent workflows, and Copilot-integrated surfaces.
Identify and mitigate AI-specific attack vectors including prompt injection, jailbreaking, data poisoning, model inversion, and adversarial inputs.
Maintain a risk register for AI systems and drive remediation planning in collaboration with AI Architects and Engineers.
Evaluate third-party AI components, APIs, and integrations for security posture before onboarding into the enterprise AI stack.
Data Protection & Privacy
Design and enforce data protection controls across AI data pipelines on AWS and Azure, including encryption at rest and in transit, data masking, and access controls.
Ensure personally identifiable information (PII) and sensitive enterprise data is handled in accordance with regulatory requirements (GDPR, HIPAA, and equivalents).
Implement data lineage tracking and audit logging across RAG pipelines and LLM interactions to support compliance and forensic investigations.
Define and enforce data retention, deletion, and anonymisation policies for AI training data and model outputs.
Guardrails & Responsible AI
Design and implement input and output guardrails for LLM-powered systems and Microsoft Copilot-integrated workflows to prevent harmful, biased, or non-compliant AI outputs.
Configure and manage content filtering, refusal policies, and trust boundaries across AWS Bedrock and Azure AI Foundry AI safety controls.
Define human-in-the-loop controls and escalation policies for high-risk AI decisions within agent workflows.
Collaborate with AI Engineers to embed responsible AI principles including fairness, transparency, and accountability into deployed systems.
Cloud Security & Platform Hardening
Harden AI infrastructure on AWS (Bedrock, SageMaker, IAM, VPC, CloudTrail) and Azure (Azure AI Foundry, Azure ML, Entra ID, Azure Policy, Defender for Cloud) against misconfigurations and unauthorised access.
Enforce least-privilege access controls for AI services, model endpoints, vector databases, and Copilot connectors.
Implement network security controls including private endpoints, VNet integration, and API gateway policies for AI service exposure.
Conduct regular security configuration reviews and cloud security posture assessments for AI workloads on AWS and Azure.
Threat Detection & Incident Response
Implement monitoring and alerting for anomalous AI system behaviour, including unusual query patterns, prompt injection attempts, and data exfiltration signals.
Integrate AI security monitoring with enterprise SIEM and SOAR platforms using AWS CloudTrail, Azure Monitor, and Microsoft Sentinel.
Lead incident response activities for AI-related security events, including root cause analysis, containment, and post-incident review.
Define and test business continuity and disaster recovery procedures for critical AI systems and Copilot-integrated workflows.
Compliance & Governance
Ensure AI systems comply with relevant regulatory frameworks, enterprise security policies, and responsible AI standards across the full deployment lifecycle.
Support internal and external audits of AI systems by maintaining comprehensive security documentation, control evidence, and risk assessment records.
Define and maintain AI security policies, standards, and guidelines in alignment with AWS Well-Architected Framework and Microsoft Azure Security Benchmark.
Collaborate with governance and compliance teams to track regulatory changes affecting AI deployments and implement timely remediation measures.
Collaboration & Security Enablement
Partner with AI Architects and AI Engineers to embed security controls into AI solution designs and engineering pipelines from the outset.
Provide security guidance and training to AI delivery teams on secure development practices, prompt safety, and data handling.
Work with enterprise security teams to align AI security controls with the broader organisational security framework and risk appetite.
Evaluate emerging AI security threats, tools, and frameworks and guide their strategic adoption within the enterprise AI programme.
Required Qualifications
6-10 years of experience in cybersecurity with 3+ years focused on AI/ML security, cloud security, or data security in production environments.
Hands-on experience securing AI workloads on AWS (Bedrock, SageMaker, IAM, CloudTrail, GuardDuty) and Azure (Azure AI Foundry, Azure ML, Defender for Cloud, Microsoft Sentinel, Entra ID).
Strong understanding of AI-specific threats and mitigations: prompt injection, data poisoning, model theft, adversarial attacks, and LLM output risks.
Experience designing and implementing guardrails, content filtering, and responsible AI controls for LLM-powered and Copilot-integrated systems.
Knowledge of data protection regulations and frameworks including GDPR, HIPAA, and ISO 27001 as they apply to AI systems and data pipelines.
Familiarity with AI governance frameworks such as NIST AI RMF, EU AI Act principles, and Microsoft Responsible AI Standard.
Experience with cloud security posture management, IAM policy design, network security controls, and SIEM/SOAR integration on AWS and Azure.
Strong collaboration and communication skills to work effectively with AI Engineers, Architects, and enterprise security and compliance teams.

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