"Agentic AI projects are likely to fail at a rate far higher than currently predicted and present a major challenge to cybersecurity operations, according to an information security expert. Haider Pasha, EMEA CISO at Palo Alto Networks, told ITPro that the benefits of would be outweighed by the risks if chief information security officers (CISOs) don't employ strict strategic and technical controls over the technology's deployment."
"I actually think it's low, personally I think it's going to be a lot higher because, like gen AI that we saw from the MIT report, I think a couple of years from now we're going to see a lot more agentic projects that will fail. Because the governance, and the security, the tools, the processes and the mindset shift towards really controlling what that system is supposed to do, all of those things will not necessarily be looked after."
"I think, as CISOs, we need to do a better job of removing the hype and really un-teaching and teaching the board about what cybersecurity and cyber resilience really means in the age of agentic AI, generative AI, and so on,"
Agentic AI projects face a failure rate likely higher than current projections and will create significant cybersecurity challenges. Gartner projects 40% of agentic AI projects will fail by 2027. Elevated failure risk stems from inadequate governance, security, tooling, processes, and an insufficient mindset shift toward controlling agent behavior. Confusion over the definition of agentic AI and executive interest driven by hype rather than clear business use cases compound implementation risk. Market signals show widespread adoption intent, with 93% of enterprises exploring agent-based systems and Capgemini projecting $450 billion in potential economic value. Adoption without clear use cases and strict controls will increase failures and risk.
Read at IT Pro
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