AI Security Analyst

About this job

AlphaSense builds trusted market intelligence and search platforms powered by proven AI to help thousands of enterprise clients make better decisions. As an AI Security Analyst at AlphaSense, you will serve on the frontline of safeguarding the company's environment against AI-related risks. Your team focuses on building robust AI security and governance capabilities to protect various AI tools, agents, and models. On a normal day, you will monitor enterprise-wide AI usage end to end, investigate unauthorized shadow AI, hunt for rogue agent activities, and transform raw telemetry into actionable security findings. You will also collaborate closely with data analysts, automation engineers, and directors to support compliance standards such as ISO 42001 and overall AI risk management.

Responsibilities

• Continuously monitor telemetry tools to discover unsanctioned AI tools and shadow AI across the business.
• Investigate security alerts related to autonomous agents, unexpected data access, and credential misuse.
• Monitor data loss prevention logs to prevent sensitive information from leaving the environment through AI platforms.
• Oversee developer-focused AI tools for policy compliance, credential exposure, and non-human identity risks.
• Maintain activity logging and organize evidence to support ISO 42001 audits and EU AI Act readiness.
• Analyze false positive and negative trends to tune detection rules and improve threat response.
• Partner across security operations, legal, and engineering teams to align findings with incident response processes.

Requirements

• 3-5+ years of experience in security analysis, SOC, or GRC analyst roles.
• Working knowledge of SIEM platforms and DLP or CASB tooling.
• Understanding of AI and LLM risk concepts including prompt injection and data exfiltration.
• Familiarity with non-human identity concepts such as service accounts, API keys, and OAuth tokens.
• Understanding of threat detection logic including MITRE ATT&CK, ATLAS, or OWASP LLM Top 10.
• Proficiency in basic scripting or querying languages like Python, SQL, SPL, or KQL.
• Hands-on applied experience in at least one area like AI risk testing, CASB discovery, or non-human identity investigation.

Good to have

• Hands-on exposure to AI governance frameworks such as ISO 42001, NIST AI RMF, or EU AI Act.
• Direct experience with platforms like Netskope, Zscaler, Wiz, Orca Security, or Microsoft Purview.
• Exposure to machine learning-based anomaly detection or NLP-driven log analysis.
• Certifications such as Security+, CISSP, or AI-specific security credentials.

Who should apply

This role suits experienced security professionals with a strong background in security analysis, SOC operations, or GRC frameworks, combined with genuine, applied experience in AI security concepts. Candidates must be comfortable diving deep into logs, investigating threats like prompt injection or shadow AI, and sharing real examples from past work. The posting does not state that freshers can apply.

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