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Llm In Cybersecurity information

What is an LLM in Cybersecurity?

An LLM in Cybersecurity is a Master of Laws degree focused on the legal, regulatory, and policy aspects of cybersecurity and information privacy. This postgraduate program is designed for lawyers and legal professionals who want to specialize in areas such as cybercrime, data protection, and technology law. Students typically study topics like digital evidence, cyber risk management, and international cybersecurity law. The degree prepares graduates for roles in law firms, government agencies, and corporate legal departments dealing with cybersecurity issues.

What are the key skills and qualifications needed to thrive as an LLM in Cybersecurity?

To excel as an LLM in Cybersecurity, you need a solid legal education (LLB or JD), expertise in cybersecurity law, and an understanding of digital privacy regulations. Familiarity with legal research databases, cybersecurity frameworks (such as NIST or ISO), and certifications like CIPP/US or CISSP can be highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills set candidates apart in this specialized field. These competencies are critical for interpreting complex legal and technical issues, advising organizations on compliance, and mitigating risks in the rapidly evolving cybersecurity landscape.

How does an LLM in Cybersecurity contribute to collaboration between legal and technical teams within organizations?

An LLM in Cybersecurity equips professionals with both legal expertise and a strong understanding of cybersecurity principles, enabling them to act as a bridge between legal and technical teams. Individuals in this role often translate complex legal requirements into actionable security policies or help IT teams understand compliance obligations. This collaboration is vital for ensuring that security strategies align with regulatory standards and that organizations are protected from both legal and cyber risks. As regulations and technologies evolve, professionals with an LLM in Cybersecurity are well-positioned to facilitate communication and foster a culture of compliance and security.

What is the difference between Llm In Cybersecurity vs Cybersecurity Analyst?

AspectLlm In CybersecurityCybersecurity Analyst
Required CredentialsLegal degree, cybersecurity certifications (e.g., CISSP, CEH)Security certifications (e.g., CompTIA Security+, CISSP), relevant experience
Work EnvironmentLegal and cybersecurity teams, policy development, complianceSecurity operations centers, incident response, threat analysis
Employer & Industry UsageLaw firms, corporate legal departments, cybersecurity firmsBusinesses, government agencies, IT firms

While Llm In Cybersecurity combines legal expertise with cybersecurity knowledge, Cybersecurity Analysts focus on protecting systems and responding to threats. Both roles require cybersecurity certifications, but Llm In Cybersecurity emphasizes legal and compliance aspects, whereas Cybersecurity Analysts concentrate on technical security measures.

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The top searched job categories for Llm In Cybersecurity jobs in Utah are:

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Cities in Utah with the most Llm In Cybersecurity job openings:

Llm In Cybersecurity jobs near you

Software Engineer - AI Platform Team

Proofpoint

Draper, UT • On-site

$180 - $240/hr

Other

Posted 28 days ago

Proofpoint rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 116 rated security

Job description

About Proofpoint

Proofpoint is a global leader in human- and agent-centric cybersecurity, protecting how people, data, and AI agents connect across email, cloud, and collaboration tools.

Role Overview

As a Staff Software Engineer on the Satori AI Platform team, you will drive the architecture of the internal platform that all Proofpoint product teams use to build agentic applications, including AI‑assisted development, evaluation‑driven release gates, OpenTelemetry observability for agents in production, and cross‑product AuthX for AI workloads. Your direct users are fellow product engineers, and the products they ship protect business‑critical communications for Fortune 100 customers 24/7/365.

Responsibilities
  • Set architectural direction for one or more platform pillars (AI‑assisted developer workflows, eval‑driven release gates, OpenTelemetry for LLM/agent traffic, cross‑product AuthX, etc.)
  • Design agent runtimes and SDKs on frameworks such as LangGraph, OpenAI Agents SDK, Anthropic's Agent SDK, MCP, in Python (typed) and TypeScript/Node
  • Define what “release‑ready” means for an agent at Proofpoint, including eval suites, safety checks, telemetry, and AuthX contracts that gate every rollout
  • Partner with product team tech leads to land your architecture in their stacks and turn one‑off integrations into reusable platform capabilities
  • Drive standards for prompt management, model selection, cost/latency budgets, and observability across products
  • Design, code, review, test, and deploy software features; write production‑grade code as a Staff engineer
  • Mentor engineers across the platform and product teams to raise the bar for production agentic software
Qualifications
  • Experience developing and supporting AI‑powered applications, with exposure to agentic or LLM‑based systems in development, testing, or production environments
  • Proficiency in Python and/or TypeScript/Node.js, with ability to write maintainable, scalable, and well‑tested code
  • Familiarity with agent frameworks such as LangGraph, LangChain, OpenAI/Anthropic Agents SDK, MCP, or similar technologies
  • Experience with evaluation, monitoring, and observability concepts for AI applications (e.g., LangSmith, Braintrust, promptfoo, OpenTelemetry)
  • Experience troubleshooting application and service issues using logs, metrics, traces, and diagnostic tools
  • Ability to collaborate effectively with engineering, product, and platform teams to deliver solutions and resolve technical challenges
  • Experience designing, developing, and supporting applications in cloud‑based and/or microservices environments
  • Strong written and verbal communication skills
  • Demonstrated curiosity, attention to detail, and willingness to learn new technologies and apply feedback
  • Proactive, team‑oriented mindset with ownership of work and contribution to team success
  • B.S. or M.S. in Computer Science or related field, or equivalent practical experience
Benefits
  • Competitive compensation
  • Comprehensive benefits and wellness program
  • Flexible work environment
  • Annual wellness and community outreach days
  • Recognition of contributions
  • Global collaboration and networking opportunities

Proofpoint is an equal opportunity employer and encourages applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.

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