Collaboration of AI and Human Skill Boosts Cybersecurity Resilience
WHO:
VentureBeat - Kamal Hathi is the SVP and GM of Splunk, a Cisco Company.
TechRadar - Organizations are mentioned as needing trained teams to combat AI cyber threats.
WHAT:
VentureBeat - Agentic AI is making IT and security teams more efficient by automating tasks previously performed by junior analysts and engineers.
VentureBeat - The automation of tasks that served as training grounds for expertise is creating a challenge in workforce design.
VentureBeat - Organizations that do not adapt their workforce design may find themselves with fewer skilled professionals to govern automated systems.
VentureBeat - The article discusses the need for organizations to invest in the full ecosystem of expertise for operators, including communities, certifications, and learning paths.
WHERE:
VentureBeat - The discussion pertains to organizations in regulated environments, which include frameworks like SOX, PCI DSS, HIPAA, and NIS2.
WHEN:
VentureBeat - The article suggests that organizations need to prepare for the next decade of digital resilience.
WHY:
VentureBeat - The need for trained teams arises from the increasing complexity of AI systems and the necessity for human judgment in governance roles.
VentureBeat - The removal of the apprenticeship model in cybersecurity could lead to a thinning population of professionals capable of explaining control decisions to auditors.
HOW:
VentureBeat - Organizations should implement automated guardrails and dynamic tools to ensure agents behave appropriately and to review machine decisions.
VentureBeat - The article outlines four design choices for agentic systems: exposing reasoning, tiering authority, treating disagreements as correction signals, and capturing resolutions as cross-domain knowledge.
(UPDATED July 1, 2026 21:28 UTC)
Kamal Hathi, the Senior Vice President and General Manager of Splunk, a Cisco Company, highlights the pressing need for organizations to train teams capable of tackling AI cyber threats. As Agentic AI automates tasks traditionally handled by junior analysts and engineers, there is a growing concern that this shift could undermine the development of skilled professionals necessary for overseeing these automated systems, particularly in regulated environments like SOX and HIPAA. To prepare for the next decade of digital resilience, organizations must invest in a comprehensive ecosystem of expertise, implementing automated guardrails and dynamic tools to ensure proper governance of AI systems.