When you weave AI into all facets of your business, you need security by design
As you implement AI/ML technologies into your business, your potential attack surfaces will grow and evolve — and new types of vulnerabilities will emerge and spread even faster. Additionally, you need a comprehensive strategy for data classification, inventory, access control, and timely identification and remediation of non-compliance cases. The future not only requires integrating AI but also safeguarding your enterprise with strong governance and data security policies.
In this new reality, a new approach to security is essential: a model that not only addresses the attack vectors associated with large language models (LLMs) but also integrates AI into defense mechanisms, creating a robust and continuous security posture. We look at AI security holistically, assessing your organization, building a security roadmap, and applying proven principles across all your systems. Together, we design, automate, implement, and manage security and resilience with comprehensive governance at every level.
Our Core Focus Areas
With decades of experience in AI and ML solutions, we have developed unique expertise that enables us to quickly address key issues associated with generative AI adoption.
- Data Confidentiality and Protection
- Quality and Reliability
- Compliance and Auditability
How We Work With You
You need to align AI and ML processes in your organization with current regulatory requirements and standards to fully leverage large language models (LLMs).
We help you assess changes in data handling and management for critical and confidential datasets, including PII/SI, and ensure compliance with standards and certification requirements.
You need a security architecture that ensures the ethics, security, and regulatory compliance of AI/ML platforms, models, and applications.
We apply best practices and proven methodologies to design security architecture tailored to your specific use cases.
It’s essential to define attack vectors and risks associated with the use, operation, and management of AI/ML platforms and models, including LLMs.
We help you identify AI/ML use cases, map them to potential threats, pinpoint vulnerabilities, and recommend measures to reduce risks of data breaches and supply chain contamination.
You need to extend and enhance your Software Development Life Cycle (SDLC) and DevOps practices with AI-powered security controls.
We assist in creating a modern development platform — from AI-enhanced static and dynamic scanning to an improved programming experience through AI augmentation.
Ready to integrate security into your AI-powered enterprise?
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