AI Application Security Analyst
AIApplicationSecurityAnalystAppSec&MLSecurity
“AI Application Security Analyst - AppSec & ML Security at AI Application Security Analyst. Skills: Application Security, AI/ML Security, DevSecOps, Vulnerability Assessment. Perform application security assessments. Identify, triage, and prioritize vulnerabilities”
What You'll Achieve.
Reduced application vulnerabilities; Faster remediation cycles; Runtime protection; Secure AI feature deployment; Improved developer security practices
Industry & Context.
Identify, triage, and prioritize vulnerabilities; Remediate vulnerabilities; Respond to security incidents
Participate in on-call rotation, Provide after-hours and weekend support, Respond to security alerts and incidents, Work onsite during first week of employment
What They're Looking For.
Must Have
3–6+ years of experience in Application Security or Product Security, Hands-on experience with SAST, DAST, IAST tools, knowledge of OWASP Top 10 vulnerabilities, Experience securing APIs and microservices, Experience with modern authentication and authorization protocols (OAuth 2. 0, OpenID Connect, SAML), Familiarity with CI/CD pipelines, Basic understanding of AI/ML systems, Security certification or willingness to obtain within 6 months
Nice to Have
Experience with ML frameworks, Familiarity with AI threat models, Experience with WAF, RASP, or API security solutions, Experience with cloud platforms (AWS, Azure, GCP), Scripting skills (Python, Bash)
What You'll Do.
Perform application security assessments
and prioritize vulnerabilities
Integrate security testing into CI/CD pipelines
Assess security risks in AI/ML-enabled applications
Identify vulnerabilities in AI/ML models
Implement and tune WAF
and API security controls
Conduct threat modeling and secure design reviews
Assess and harden identity and access flows
Partner with developers to remediate vulnerabilities
Monitor and respond to application-layer security incidents
How You'll Work.
Team & Collaboration
Work closely with engineering teams; Partner with developers; Collaborate with teams during incident response
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