AI Security Analyst

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AlphaSense

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

💸 Finance

🏢 Enterprise

💰 Debt Financing on 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• Monitor enterprise AI usage end to end • Hunt for unauthorized AI and rogue agent activity • Turn raw AI telemetry into triaged findings • Collaborate with Automation Engineers, Data Analysts, and Directors • Contribute to evidence base for ISO 42001 certification • Maintain and validate AI activity logging and data retention controls

🎯 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 • Strong written documentation habits • Ability to translate technical findings into clear, risk-based narratives • Familiarity with cloud environments (AWS, Azure, or GCP)

🏖️ Benefits

• Health insurance • Professional development opportunities • Remote work options • Flexible work hours

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