CRISPR Therapeutics [NASDAQ: CRSP]

Andrew Halsell

Technology Governance Authority

Andrew Halsell is an information technology and cybersecurity leader with expertise in cloud infrastructure, information security and technology strategy. At CRISPR Therapeutics (NASDAQ: CRSP), he aligns technology, data and security initiatives with business objectives, enabling operational agility and growth.

Aligning IT Infrastructure with Business Strategy

In biotechnology, as organizations scale globally and adopt AI, I believe the role of IT infrastructure has become a strategic component of business operations. Infrastructure, security, operational decisions and data must be aligned with business outcomes. Automation and AI are accelerating this shift, requiring organizations to build environments that support both efficiency and growth.

This evolution is also changing relationships with managed service providers. In my experience, partners need business context and an understanding of organizational priorities to deliver value. As companies are asked to accomplish more with limited resources, strategic partnerships and scalable operating models are becoming important.

Selecting Technology Partners for Security, Compliance and Agility

In biotechnology, selecting the right technology partner requires more than technical expertise. For me, industry familiarity is valuable, particularly when providers understand that the regulatory requirements and operational challenges are unique to biotech and pharmaceutical organizations. Equally important is alignment with established security and compliance frameworks like ISO, NIST and CIS.

As business priorities, regulations and technologies evolve, I look for partners that can adapt and scale services and respond to changing business demands.

Controlling Costs While Scaling Technology

One of the challenges of managing technology infrastructure is controlling costs, particularly as AI increases demands on cloud resources and data center capacity.

Managed service providers can help by offering infrastructure expertise and flexible service models. Whether managing cloud environments, supporting hybrid infrastructure or supplementing internal teams, they help organizations adapt while controlling costs.

  AI should also be applied thoughtfully. Human oversight, governance and accountability remain essential, particularly in regulated and businesscritical environments.  

At the same time, rising costs and complexity are prompting many organizations to reconsider cloud-first strategies, shifting workloads back on-premises or to hybrid models that provide predictability and control.

Managing Security, Compliance and Productivity

Cybersecurity is a balancing act, particularly in healthcare and biotechnology, where threats continue to become sophisticated. Organizations must maintain security measures while continuously evolving their tools and defenses.

Security cannot come at the expense of productivity. Employees play a critical role in maintaining a strong security posture, making education and awareness essential.

Rather than creating restrictive environments, I believe organizations must establish guardrails that enable employees to work effectively while understanding their security responsibilities.

Balancing AI Innovation with Governance

AI has the potential to enhance how managed service providers deliver value. By analyzing trends across customer environments, providers can identify common challenges, recommend proven solutions and insights that improve service delivery.

From my perspective, AI must be applied thoughtfully. Human oversight, governance and accountability remain essential, particularly in business-critical environments. In cybersecurity, AI can help reduce alert fatigue, correlate data across multiple sources and improve threat detection.

Looking ahead, I think one of the most transformative developments in managed IT services will be the convergence of AI and data management. The value of AI depends on the quality, visibility and governance of the data behind it. Organizations cannot deploy secure, compliant and effective AI without understanding what data they have, where it resides, who can access it and how it is being used. This is driving greater focus on data discovery, classification, governance and access management.

Technologies including data security posture management (DSPM), data loss prevention (DLP) and privileged access management (PAM) are using AI to automate classification, strengthen governance and reduce manual effort.

Regardless of how AI adoption evolves, stronger data foundations will remain essential. The combination of AI-enabled governance, security controls and enterprise AI initiatives will be a major driver of transformation across IT and managed services.