Building trust in AI to ensure widespread adoption
In this Q&A, Ashish K. Gupta, Chief Growth Officer, Europe and Africa at HCLTech, speaks about the guardrails needed to ensure responsible use of AI
Breaking down the hurdles to Zero Trust security adoption
A recent poll conducted on LinkedIn sheds light on the perceived hurdles to Zero Trust adoption among professionals, revealing insights into complexity, cost, expertise and resistance to change.
Banking on trust through transformative tech
WEF 2024 Affiliate session from Ice Village, Davos
Zero-trust maturity assessment
With cloud shifts, expanding perimeters and rising threats, "trust but verify" fails. Zero-trust - which treats everyone as outsiders - provides segmented access and least privilege, adapting to modern security needs without harming productivity.
Microservices design and security best practices
Over the years microservices architecture has been an emerging trend in the IT world to provide fast development and better scalability. But, microservices security is a challenge for architects.
Building trust in the cloud: A new era of security and data trust
HCLTech and Intel redefine digital trust, merging Intel’s TDX and Tiber Trust with CloudSMART services for unmatched security in multicloud environments.
HCLTech launches enterprise data security service in collaboration with Intel
The solution enables enterprises to protect sensitive data during cloud operations, leveraging trusted execution environments
The HCLTech Data TrustShield offering
Enhance data security and privacy in the cloud with HCLTech Data TrustShield’s TEE and confidential computing. Download the brochure for details.
Security optimization services
Securing your enterprise requires specialized expertise to enhance your security profile, prevent incidents and minimize impacts. HCLTech offers this expertise through our Security Optimization Services (SOS).
Confidential computing: Completing the cybersecurity circuit
The rapid growth of AI, the widespread use of cloud computing and the increasing demand for analytics have introduced new challenges to data security and privacy.