Institute briefing
AI Security: HCLTech and CrowdStrike Partner to Bolster Cyber Resilience
HCLTech and CrowdStrike have expanded their partnership to enhance AI security and cyber resilience for enterprises, integrating CrowdStrike's AI-native cybersecurity platform with HCLTech's AI expertise. This collaboration aims to protect organisations against evolving AI-driven cyber threats and u
What happened
HCLTech and CrowdStrike have announced an expansion of their strategic partnership, focusing on enhancing AI security and cyber resilience for enterprises. This collaboration aims to integrate CrowdStrike's AI-native Falcon cybersecurity platform with HCLTech's AI experience and engineering services. The expanded alliance will deliver comprehensive security solutions designed to protect organisations against evolving cyber threats, particularly those leveraging artificial intelligence. The partnership seeks to provide customers with advanced capabilities for threat detection, prevention, and response across their digital infrastructure. By combining HCLTech's expertise in AI and digital transformation with CrowdStrike's leading cybersecurity technology, the initiative will offer a unified approach to managing security risks in complex enterprise environments. This includes developing and deploying solutions that leverage AI to identify and neutralise sophisticated cyberattacks more effectively.
Why it matters
This expanded partnership is significant for AI governance, ethics, and business strategy as it directly addresses the escalating security challenges posed by the proliferation of AI technologies. As businesses increasingly adopt AI across their operations, ensuring the robust security of AI systems and the data they process becomes paramount. Failures in AI security can lead to data breaches, intellectual property theft, and the compromise of critical business functions, all of which carry substantial ethical and financial implications. For leaders implementing responsible AI, this collaboration highlights the necessity of embedding security considerations from the outset of AI development and deployment. It underscores that AI governance must extend beyond ethical guidelines for AI use to include the foundational security of AI models and infrastructure. Proactive measures to secure AI are crucial for maintaining trust, ensuring regulatory compliance, and protecting an organisation's reputation and assets in an AI-driven landscape.
The Institute take
While the headline focuses on a partnership for AI security, the deeper implication for business leaders is the recognition that AI is not just a tool for innovation but also a significant new attack surface. Many organisations are rushing to adopt AI without adequately considering the novel security vulnerabilities it introduces.
Organisations must move beyond a reactive security posture and integrate AI-specific security protocols into their foundational governance frameworks. Relying solely on traditional cybersecurity measures for AI systems is insufficient. Responsible AI leaders should mandate a "security by design" approach for all AI initiatives, ensuring that dedicated AI security expertise is embedded within development teams and that continuous threat modelling specifically for AI is a standard practice. The true cost of an AI breach, encompassing reputational damage, regulatory fines, and loss of trust, far outweighs the investment in proactive AI security.
Briefing notes
Questions this story answers
01What is the focus of the expanded partnership between HCLTech and CrowdStrike?+
The expanded partnership between HCLTech and CrowdStrike focuses on enhancing AI security and cyber resilience for enterprises by integrating CrowdStrike's AI-native Falcon cybersecurity platform with HCLTech's AI experience and engineering services.
02Why is this partnership significant for AI governance and business strategy?+
This partnership is significant because it addresses the escalating security challenges posed by AI, highlighting that AI governance must include the foundational security of AI models and infrastructure to prevent data breaches, intellectual property theft, and compromise of critical business functions.
03What is the Institute's key takeaway for business leaders regarding AI security?+
The Institute advises business leaders that AI introduces a significant new attack surface and requires integrating AI-specific security protocols into foundational governance frameworks, adopting a 'security by design' approach, and embedding dedicated AI security expertise within development teams.
