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Llm In Cybersecurity Jobs in Colorado (NOW HIRING)

Bank of America

Senior Manual Ethical Hacker

Denver, CO · On-site

$102K - $132K/yr

Bank of America is committed to an in-office culture with specific requirements for office-based ... LLM security * Mobile application analysis * Able to manually identify and reproduce findings ...

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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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What job categories do people searching Llm In Cybersecurity jobs in Colorado look for?

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

What cities in Colorado are hiring for Llm In Cybersecurity jobs?

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

Llm In Cybersecurity jobs near you

Cyber AI Security & Forensic Engineer - IT & OT

Denver, CO • On-site

3Core Systems, Inc.
Software Development • 11 - 50 employees
Learn more about 3Core Systems, Inc.external

Contractor

Posted 7 days ago

Job description


Cyber AI Security & Forensic Engineer - IT & OT
Location: South Denver, CO
Duration: Long Term
Positions: 2 Openings - 1 IT / 1 OT
Work Arrangement: 2days Onsite -Hybrid as required by the client
Job Summary
We are seeking experienced Cyber AI Security & Forensic Engineers to help identify, assess, and mitigate emerging cybersecurity risks associated with Artificial Intelligence, Large Language Models (LLMs), Generative AI, and autonomous/agentic AI systems.
There are two openings for this position:
  • ITCyber AI Security & Forensic Engineer: Focused on enterpriseapplications, cloud environments, LLM/GenAI applications, APIs, AI agents,and application security.
  • OTCyber AI Security & Forensic Engineer: Focused on applying AIsecurity and cybersecurity principles within Operational Technology(OT), Industrial Control Systems (ICS), SCADA, and industrial environments.

The ideal candidates will have a strong cybersecurity foundation combined with hands-on experience assessing AI/LLM applications, identifying vulnerabilities and bypass techniques, recommending security controls, and applying security frameworks such as OWASP.
Key Responsibilities
  • Performsecurity testing of AI applications, LLMs, Generative AI solutions, andAI-enabled platforms to identify vulnerabilities, weaknesses, misusecases, and potential bypass techniques.
  • ConductAI/LLM security assessments, including testing for prompt injection,jailbreaks, data leakage, insecure outputs, model manipulation, andunauthorized access.
  • EvaluateAI applications and integrations for security weaknesses across APIs, datasources, tools, plugins, and external services.
  • Assess agentic AI architectures and autonomous software agents tounderstand how agents interact with external tools, APIs, data, andenterprise systems.
  • Evaluateagent permissions, tool access, authentication, authorization, andleast-privilege controls.
  • Identifyrisks associated with excessive agency, insecure tool use, indirect promptinjection, and unauthorized actions.
  • Recommendsecure AI and data usage practices, including data protection,access controls, secure prompts, guardrails, and responsible AI practices.
  • Apply OWASPTop 10, OWASP API Security Top 10, OWASP LLM Top 10, and otherapplicable security standards to identify and communicate security risks.
  • Performthreat modeling and security assessments for AI-enabled applications andservices.
  • Workwith application, cloud, data, infrastructure, and cybersecurity teams toremediate identified vulnerabilities.
  • Supportvulnerability management, incident investigations, digital forensics, androot-cause analysis where required.
  • Reviewlogs, telemetry, application behavior, and security events to identifysuspicious or malicious AI activity.
  • Developsecurity recommendations, assessment reports, remediation plans, andtechnical documentation.
  • Staycurrent with emerging AI attack techniques, LLM vulnerabilities, agenticAI risks, and AI security frameworks.

IT Position - Additional Responsibilities
  • Assesssecurity of enterprise LLM/GenAI applications, APIs, cloud services,RAG solutions, vector databases, and AI integrations.
  • TestAI applications for prompt injection, jailbreaks, sensitive informationdisclosure, insecure output handling, and data poisoning.
  • ReviewAI integrations with enterprise applications, SaaS platforms, APIs, andexternal tools.
  • Evaluatecloud security controls across AWS, Azure, or GCP environments.
  • Supportapplication security, API security, secure SDLC, SAST/DAST, and DevSecOpsinitiatives.
  • AnalyzeAI application logs and telemetry for security anomalies and potentialabuse.

OT Position - Additional Responsibilities
  • ApplyAI and cybersecurity security practices to Operational Technologyenvironments, including ICS, SCADA, PLC, DCS, and industrial controlsystems.
  • Assesssecurity risks associated with AI-enabled OT applications and autonomoussystems.
  • UnderstandOT network architecture, segmentation, remote access, industrialprotocols, and OT security controls.
  • SupportOT incident response, threat hunting, forensic investigations, andsecurity assessments.
  • Evaluatethe potential impact of AI-driven attacks or compromised AI systems onindustrial environments.
  • Workclosely with OT engineering, controls, infrastructure, and cybersecurityteams to identify and mitigate risks.

Required Qualifications
  • Bachelor'sdegree in Cybersecurity, Computer Science, Information Technology,Engineering, or a related field, or equivalent experience.
  • Strongcybersecurity engineering, application security, penetration testing, orsecurity assessment experience.
  • Hands-onexperience with AI/ML security, LLM security, Generative AI security,or AI application testing.
  • Understandingof common LLM and AI vulnerabilities, attack techniques, and securitycontrols.
  • Experiencewith OWASP Top 10 and preferably OWASP LLM Top 10 / OWASPAgentic AI security concepts.
  • Experiencewith threat modeling, vulnerability assessment, security testing, and riskanalysis.
  • Understandingof authentication, authorization, API security, data protection, andleast-privilege principles.
  • Experienceanalyzing security findings and providing practical remediationrecommendations.
  • Stronganalytical, troubleshooting, documentation, and communication skills.

Apply