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2 days ago
This position sits at the intersection of cybersecurity and advanced AI, where the challenge is not just securing systems but anticipating how intelligent models and agents can be subverted, manipulated or misused.
The focus is on building resilient, adaptive defenses that scale with the complexity of modern AI deployments.
- Key Responsibilities:
- Conduct threat modeling for Large Language Models (LLMs), multi-agent systems, plugin/tool-based architectures and other AI applications.
- Simulate real-world adversarial scenarios including prompt injection, model manipulation, jailbreaking, supply chain abuse and other emerging vectors.
- Design and implement robust defense strategies and mitigations against identified vulnerabilities.
- Apply application security principles to the unique attack surfaces and architectures of AI systems.
- Develop red team playbooks to test resilience of AI-driven environments under advanced attack conditions.
- Build proof-of-concept exploits to validate and demonstrate severity of discovered vulnerabilities.
- Continuously monitor and analyze evolving threats around AI safety data governance compliance and adversarial misuse.
- Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.
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