AI Security Engineer

About AlphaSense

justify 12pt AlphaSense is the AI platform redefining market intelligence and workflow orchestration trusted by thousands of leading organizations to drive faster more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents including equity research earnings calls expert interviews filings news and internal proprietary content. Purpose-built for speed accuracy and enterprise-grade security AlphaSense helps teams extract critical insights uncover market-moving trends and automate complex workflows with high-quality outputs. With AI solutions like Generative Search Generative and Deep Research AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate real-time information quickly. For more information visit a www.alpha-sense.com. Come join us.

About the Role

We are building an AI Security and Governance capability and need an AI Security Analyst to be the front line for detecting investigating and containing risk across every AI tool agent and model touching AlphaSense s environment.

You will monitor enterprise AI usage end to end hunt for unauthorized (shadow) AI and rogue agent activity and turn raw AI telemetry into triaged findings the security and governance team can act on. Working alongside the Automation Engineer Data Analyst and Director you will be a primary contributor to the evidence base underpinning our ISO 42001 certification and our broader AI risk posture.

Key Responsibilities

table collapse border-color black border-style solid border= 1 black AI Tool Discovery Shadow AI Monitoring

black Continuously monitor CASB/SWG OAuth and endpoint telemetry to discover unsanctioned AI tools browser extensions and API-level agents in use across the business. Classify findings by risk tier and escalate unauthorized deployments for containment.

black Rogue Agent Detection Investigation

black Investigate alerts related to autonomous agents and AI-powered workflows (e.g. anomalous tool chains unexpected data access credential misuse) including threats such as OpenClaw and similar agent-based attack patterns. Document findings and drive remediation with the Automation Engineer and Identity teams.

black AI Data Exfiltration Detection DLP

black Monitor DLP and AI usage logs for signs of sensitive data leaving the environment through AI tools (prompts uploads plugins MCP connectors). Tune detection rules and validate that AI-specific DLP controls are operating as designed.

black Developer AI Tool Governance

black Monitor usage of developer-facing AI tools (GitHub Copilot Claude Code Codex and similar) for policy compliance credential exposure and non-human identity risk. Partner with Engineering to ensure code-assist and agentic dev tools operate within approved guardrails.

black AI Logging Retention Audit Support

black Maintain and validate AI activity logging and data retention controls to ensure auditability. Assemble and organize evidence supporting ISO 42001 audits EU AI Act readiness and internal AI impact assessments.

black Detection Tuning Continuous Improvement

black Analyze false positive/negative trends across AI security detections and recommend threshold and logic adjustments. Feed recurring patterns into the Automation Engineer s playbook backlog.

black Cross-functional Collaboration

black Partner with Security Operations Identity Legal and AI/ML Engineering to align findings with existing incident response processes and support the Director in preparing risk findings for governance council and executive reporting.

Who You Are

Basic Requirements

3-5+ years in security analysis SOC or GRC analyst roles Working knowledge of SIEM platforms (Splunk Microsoft Sentinel Google Chronicle) and DLP/CASB tooling Understanding of AI/LLM risk concepts prompt injection data exfiltration via AI tools model/agent misuse shadow AI Familiarity with non-human identity concepts (service accounts API keys OAuth tokens) and their security challenges Understanding of threat detection logic (MITRE ATT;CK exposure to MITRE ATLAS or OWASP LLM Top 10 a plus) Comfortable reading and interpreting logs API telemetry and structured/unstructured investigation data Basic scripting or query proficiency (Python SQL or SPL/KQL) for investigation and reporting written documentation habits Ability to translate technical findings into clear risk-based narratives Familiarity with cloud environments (AWS Azure or GCP)

Required AI Security Depth (must demonstrate genuine applied experience in strong at least one of the following not coursework certifications or familiarity alone)

Hands-on AI/LLM risk testing or investigation prompt injection testing model/agent misuse investigation or AI-specific data exfiltration analysis CASB/SWG-based application discovery unsanctioned SaaS browser extension or shadow IT/shadow AI detection using tools such as Netskope Zscaler Microsoft Defender for Cloud Apps Wiz or similar Non-human identity investigation API key OAuth token or service account misuse investigation and risk assessment (administration alone does not qualify we re looking for investigative/risk experience) Agentic AI or MCP-based architecture exposure from either the security or engineering side e.g. securing testing or building agent tool-use pipelines (LangChain AutoGen CrewAI MCP servers)

Candidates should be prepared to describe a specific example what they found how they investigated it and what the outcome was rather than listing this as a resume skill.

Threat Detection Logic

Understanding of MITRE ATT;CK exposure to MITRE ATLAS or OWASP LLM Top 10 strongly preferred

Nice to Have

Hands-on (not just conceptual) exposure to AI governance frameworks ISO 42001 NIST AI RMF EU AI Act risk tiers ideally through audit evidence collection or control testing (SOC 2 ISO or similar) Direct experience with any of Netskope Zscaler Wiz Orca Security Microsoft Purview Abnormal Security Bolster AI or comparable AI-aware security platforms Exposure to ML-based anomaly detection or NLP-driven log analysis Certifications Security+ CISSP (Associate) or AI-specific credentials (e.g. AI/ML security OWASP AI GIAC)
12pt AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports inspires and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race color sex (including pregnancy) national origin age religion marital status sexual orientation gender identity gender expression military or veteran status disability or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense including recruitment hiring training advancement and termination.

12pt In addition it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws regulations and ordinances where a particular employee works.

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