Penetration Testing and Red Teaming:
- Conduct comprehensive penetration testing and red teaming exercises on systems, networks, applications, mobile platforms, and AI/ML environments to identify vulnerabilities and potential entry points for attackers.
- Perform AI system and model penetration testing, focusing on adversarial attacks, prompt injection, data poisoning, and model inversion vulnerabilities.
- Assess AI pipelines, APIs, and LLM-based integrations for misuse, data leakage, and unauthorized access risks.
- Develop and execute custom tools and scripts to automate testing and exploitation processes.
- Analyze and report on findings, providing detailed explanations of vulnerabilities and recommended remediation steps.
- Simulate advanced persistent threats (APTs) to test the resilience of security controls and incident response capabilities.
- ASM: Continuously discover and catalog all assets, including hardware, software, and network components.
- ASM: Monitor the attack surface for changes and potential vulnerabilities, using automated tools and manual assessments.
Vulnerability Assessment:
- Perform thorough vulnerability assessments to identify and prioritize security weaknesses.
- Utilize industry-standard tools such as Qualys, Nessus or Nexpose and methodologies to uncover vulnerabilities in various environments.
- Provide actionable recommendations for remediation and mitigation strategies.
Patch management
- Support AI-specific vulnerability scanning and review of data pipelines or model endpoints.
Threat Modeling and Risk Assessment:
- Develop and maintain a comprehensive understanding of systems, networks, applications, and AI models to identify potential exploitation paths.
- Conduct threat modeling and risk assessments to identify potential attack vectors and vulnerabilities
- Develop and maintain a comprehensive understanding of our systems, networks, and applications to identify potential vulnerabilities
Provide recommendations for remediation and mitigation strategies
Incident Response and Crisis Management:
- Participate in security incident response and crisis management efforts as needed
- Collaborate with incident response teams to contain and remediate security incidents
- Provide technical expertise and guidance during incident response efforts
Security Research and Development:
- Research and develop adversarial testing techniques for AI models, including LLM prompt manipulation and training data leakage.
- Stay up to date with the latest security threats and trends, and adapt testing methodologies accordingly
- Develop and maintain a comprehensive knowledge of industry-leading security tools and technologies
- Participate in security research and development efforts to identify and develop new testing techniques and methodologies
Collaboration and Communication:
- Collaborate with development teams to implement security patches and fixes
- Provide technical guidance and support to development teams on security-related issues
- Communicate complex technical information to non-technical stakeholders in a clear and concise manner