name: TrueFurina
title: AI Agent Security Product Manager
company: DBAPP Security
focus_areas:
  - AI Agent Security Architecture & Governance
  - LLM Security Risk Assessment & Red Teaming
  - AI Security Product Strategy & Roadmap
  - Trustworthy AI Compliance & Standards
core_competencies:
  - AI Agent Security: 
    - Agent prompt injection defense & isolation
    - RAG pipeline security & data sanitization
    - Model output validation & guardrails
    - Agent-to-agent communication security
  - Product Management:
    - End-to-end product lifecycle management
    - Cross-functional team leadership
    - Technical roadmap planning
    - Stakeholder communication
  - Security Domain:
    - Threat modeling & risk assessment
    - Security architecture review
    - Compliance frameworks (ISO 27001, etc.)
    - Security testing & validation
mission: "Building AI systems that are not only powerful, but trustworthy."
motto: "Security is not a feature — it's a foundation."

Zero-touch, purely passive OSINT/EASM/CTEM platform — 15+ data sources, one command, no probes sent.

Goal: 1000 Stars ⭐

⭐ Star on GitHub · 📖 README · 🌐 Website

DBAPP Security | 2023 - Present

Leading the development of AI Agent security products from concept to delivery. Focused on securing enterprise AI Agent deployments across multiple industries.

Product Strategy & Roadmap

• Defined and executed product roadmap for AI Agent security product line, covering LLM security assessment, Agent behavior monitoring, and security governance
• Conducted competitive analysis and market research to identify gaps in AI security product landscape
• Established product vision and OKRs aligned with company's AI security strategy

Product Development & Delivery

• Led cross-functional teams (engineering, research, design) to deliver AI security products on schedule
• Defined product requirements and technical specifications for Agent security features
• Managed product backlog, prioritized features based on risk impact and customer needs
• Drove go-to-market strategy and customer onboarding

Security Research & Standards

• Developed internal frameworks for LLM vulnerability assessment and red teaming
• Contributed to AI security standards and best practices documentation
• Built security evaluation benchmarks for Agent behavior analysis

• Led the launch of AI Agent security assessment product, serving enterprise customers
• Built security evaluation framework covering 50+ attack vectors for LLM-based Agents
• Established internal AI security red teaming process from ground up

Role: Product Manager (Lead) Status: Launched, serving enterprise customers

An enterprise-grade security assessment platform for AI Agent systems. Covers the full lifecycle of Agent security evaluation — from architecture review to runtime monitoring.

Key features:

• Multi-dimensional LLM security testing (50+ attack vectors)
• Agent behavior analysis and anomaly detection
• Automated compliance reporting
• Real-time security monitoring dashboard

Impact:

• Reduced enterprise Agent security assessment time by 60%
• Identified and helped remediate 200+ security vulnerabilities pre-launch
• Established industry benchmark for Agent security evaluation

Role: Technical Product Manager Status: Internal tool, deployed across teams

A systematic framework for red teaming LLM-based applications. Designed to be extensible, repeatable, and actionable.

Key features:

• Automated attack scenario generation
• Multi-turn conversation attack simulation
• Vulnerability classification and severity scoring
• Remediation recommendation engine

Impact:

• Standardized security testing process across 5+ product teams
• Discovered 30+ novel attack patterns in production Agents
• Reduced security review cycle from weeks to days

Role: Product Strategy Lead Status: Research & Standards

A comprehensive governance framework for enterprise AI deployment, covering security, privacy, compliance, and ethics.

Key components:

• AI risk classification and assessment methodology
• Security control requirements by risk level
• Compliance mapping (ISO 27001, GDPR, etc.)
• Continuous monitoring and improvement process