Most organizations are racing to adopt AI without considering the security implications. Justin Greis, former leader of McKinsey's cybersecurity practice and founder of an AI-powered consulting firm Acceligence, explains why this approach creates risk and how security leaders can change the conversation.

Companies are deploying AI at different maturity levels. Some distribute AI tools to business units and wait for use cases to emerge. Others push boundaries with advanced algorithms. Few consider the associated risks. The right stakeholders often aren't in the room when AI decisions are made, either because organizations want to move fast or because security teams are underfunded and focused on daily operations. Technology companies are making AI capabilities available at unprecedented speeds, leaving organizations uncertain about securing and deploying these tools responsibly.

Security should be the foundation of trust, not an afterthought. McKinsey research found that customers make buying decisions based on product security when companies can demonstrate testing and rigor. A secure, certified product materially influences purchasing choices compared to alternatives without visible security standards.

Greis emphasizes that compliance certifications like SOC 2 or ISO represent minimum requirements, not security maturity. Organizations secure enough to meet business objectives naturally achieve compliance. The goal is translating business initiatives into security requirements that exceed baseline standards.

The Chief Information Security Officer position has shifted from back-office administrator to business enabler. AI has accelerated this change by converging infrastructure, technology, and cybersecurity into unified platforms. CISOs now have opportunities to demonstrate how they understand business context and can help organizations move faster and safer.

The challenge for security leaders is communication and relationship building. Years of underfunding forced CISOs to focus on survival rather than strategy. As security functions reach parity with other departments, more leaders can engage at the executive and board level. This shift requires CISOs to develop storytelling skills that contextualize security metrics for business audiences rather than overwhelming boards with technical details.

As AI agents begin making decisions without human oversight, organizations face new risks. The push to remove humans from decision loops creates efficiency but introduces vulnerabilities, particularly when AI accesses data it shouldn't process or makes decisions affecting vulnerable populations. Companies need frameworks to identify where human oversight remains necessary and mechanisms to monitor those boundaries.

Organizations implementing AI successfully have thought through secure development lifecycles, DevSecOps, and product operating models. Those starting from scratch face larger organizational changes to incorporate security, privacy, and responsible AI practices into development workflows.

LinkedIn: https://www.linkedin.com/in/justingreis/


Justin Greis: AI Meets Cybersecurity

Kitecast features interviews with security, IT, compliance, and risk management leaders and influencers, highlighting best practices, trends, and strategic analysis and insights. Kitecast is cohosted by Tim Freestone and Patrick Spencer who have more than four decades of combined experience in technology and cybersecurity senior leadership roles.

New tracks tagged #AIDataSecurity