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Anthropic

Builds Claude AI models with a focus on safety

Security Risk & Compliance - Agent Security

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 8+ years of experience in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company.
  • Have owned or meaningfully supported efforts to compartmentalize sensitive data, personally identifiable information, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries.
  • Think about non-human identities as a distinct risk and control category, and be able to design least-privilege access and accountability controls for systems acting on a person's behalf.
  • Be able to reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor.
  • Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity.
  • Deliver clear, precise written work for technical and non-technical audiences.
  • Be able to propose standards in ambiguous environments without an established industry playbook.
  • Be prepared to serve as the security and risk authority who educates and influences outcomes rather than only advising.

Responsibilities

  • Serve as the security policy partner for AI agent governance by authoring policies and standards for how agents are built, deployed, and operated.
  • Define review and approval criteria for when an agent may interact with sensitive or regulated data and which actions require human approval as they relate to compliance frameworks.
  • Serve as the GRC reviewer within existing engineering approval workflows.
  • Define data governance requirements for agents, including least-privilege access, access reviews, and handling regulated and sensitive data.
  • Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research, and engineering teams.
  • Map agent security and data controls to AI governance frameworks, including ISO 27001, ISO 42001, and the EU AI Act, strengthening certification efforts and ensuring agent security is auditable.
  • Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners.
  • Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration, and re-review.

Desired Qualifications

  • Understand the security properties of LLM agents through AI, developer-platform, or agent-tooling company experience, or comparable experience.
  • Bring familiarity with AI governance frameworks alongside traditional security frameworks.
  • Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture.
  • Possess relevant certifications such as CISSP, CISM, CRISC, CISA, CCSP, ISO 27001, or ISO 42001 Lead Implementer/Auditor.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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