Build your products harnessing the power of AI, securely with proper sandboxing and south-bound, north-bound security controls around your agents. Get a human security expert in the loop to review what the AI might miss
Assess your AI for potential sensitive information disclosure, through prompt injections, vector database weaknesses, and improper output handling.
Assess and design northbound and southbound isolation for your autonomous AI agents. From sandboxing, tool-use permissions, agent credential scoping, and containment of agent-to-agent, system-to-agent and agent-to-system communication.
Secure AI deployments. Access controls, data loss prevention, and runtime protections (e.g. agent sandboxing) for agent applications, vector database security.
Manual code review to identify security vulnerabilities that AI might still miss. Authentication, authorization, input validation, cryptography, data handling, and business logic.
Review and design secure architecture for applications, APIs, and microservices. Trust boundaries, data flow security, threat modeling, and service-to-service communications.
Integrate security across the development lifecycle. SAST, DAST, SCA into CI/CD pipelines. Modernize your security testing and support the development of this new AI era.
Design zero trust security models with continuous verification, least privilege access, and micro-segmentation. Eliminate implicit trust between components.
Design secure secrets storage, rotation, and distribution. Architecture for API keys, database credentials, and encryption key management.
Design tenant isolation, data segregation, and cross-tenant security controls. Prevent tenant data leakage and unauthorized access.
Review security of event-driven architectures, message queues, and pub/sub systems. Message authentication, authorization, and data protection.
Select your preferred date and time from the available options below, or contact us directly via email or phone.
