TCS Secure AI Adoption
Focusing on effective AI governance, mitigating emerging AI threats, and managing compliance risks to help enterprises adopt AI securely, responsibly, and with confidence
Highlights
Comprehensive cybersecurity framework helps manage generative AI adoption risk and mitigate emerging threats.
The rapid adoption of artificial intelligence (AI) and generative AI (GenAI) technologies across industries redefines the business landscape but comes with significant cybersecurity challenges. As enterprises adopt AI, the importance of developing comprehensive governance and a robust cybersecurity framework cannot be overstated. Organizations must prioritize data privacy and security to protect sensitive information and maintain the trustworthiness of AI systems. Without a strong AI security posture, businesses expose themselves to various AI-related risks, including data breaches and catastrophic loss of brand reputation.
Cybersecurity plays a critical role in the successful implementation of AI technologies. As AI systems become more prevalent, they also become attractive targets for malicious actors. Securing AI systems is key to ensuring that they operate effectively and safely. A lack of cybersecurity measures can result in significant financial losses and reputational damage. Therefore, an emphasis on cybersecurity is crucial in safeguarding the technology and the data it processes.
TCS Secure AI Adoption service empowers businesses to manage cybersecurity and data privacy risks in AI deployments and build cyber resilience.
TCS Secure AI Adoption helps enterprises to identify and address cybersecurity and data privacy-related risks while adopting AI and GenAI technologies. It comprises:
TCS Secure AI Adoption helps you safely unlock the potential of AI and focuses on growing your business securely.
You will benefit immensely from our expertise and experience working with multiple customers to secure AI adoption through building the right governance, embedding responsible AI by design and mitigating key risks through comprehensive set of industry-specific guardrails and controls catalog.
Our AI security expertise, strong partnerships, and commitment to innovation ensure secure and effective adoption of AI solutions. This enables trust and positions your business for long-term success. Embrace AI confidently by partnering with TCS and experiencing the full advantages of our comprehensive approach.
Domain and industry expertise: We have over two decades of security industry experience, and as AI becomes foundational to businesses, we are creating capabilities, partnerships, labs, and competencies to support customers with securing and de-risking AI adoption. What differentiates our ‘Cyber for AI’ offerings is our strong foundation in having our enterprise AI and GenAI security frameworks as well as our AI threat modelling framework, which enables us to deliver structured AI risk management and security solutions to customers.
Strong partnerships: We partner with all major hyperscalers and leading global AI security solution service providers to bring best-in-class AI security solutions to customers. Customers, analysts, and strategic partners have agreed and are in alignment that we have a strong set of partnerships, artefacts, and accelerators that enable us to accelerate standardized and effective delivery to customers. For the future, we are exploring partnerships in the areas of Agentic AI security and automated AI security testing, which will enable us to bring cutting-edge AI-specific security tools to customers—tools that are purpose-built for GenAI, ML models, and which will help secure dynamic AI pipelines and Agentic AI systems.
Continual innovation: Our services are rapidly evolving to deliver best practices-based AI governance, standard-based AI Risk frameworks, AI Security By Design with an AI-specific threat Modelling framework, hyperscaler-specific AI security frameworks with control catalogs, adversarial AI security testing, including pen testing, risk mitigations for supply chain attacks and LLM misuse, and compliance with emerging AI regulations like the EU AI Act.