The rapid expansion of agentic artificial intelligence is creating a new investment theme for technology and cybersecurity markets, but it is also introducing risks that could affect enterprise adoption. Zscaler founder and CEO Jay Chaudhry warned that companies should not give AI agents unrestricted access to corporate environments, as compromised agents could move through networks, identify vulnerabilities and potentially expose sensitive information.

AI Adoption Is Running Ahead of Security Controls

The central concern is increasingly less about whether companies will use AI agents and more about how much authority those agents will receive. Deloitte’s 2026 research found that only 21% of surveyed organizations have a mature governance model for agentic AI, meaning roughly four out of five remain without fully developed controls covering permissions, monitoring and audit trails. At the same time, nearly three-quarters of companies expect to deploy agentic AI within two years.

For investors, that gap potentially creates a structural opportunity for cybersecurity providers, but it also means AI adoption could encounter additional compliance, infrastructure and security costs. The value of cybersecurity spending may increasingly depend on whether enterprises can demonstrate that AI systems are controllable rather than simply productive.

Zscaler Positions Cybersecurity as an AI Infrastructure Layer

The warning comes as Zscaler moves more aggressively into the emerging AI security market. The company is holding its 2026 Investor Day on October 6, with management emphasizing Zero Trust architecture, protection against AI-driven threats and secure deployment of AI agents. Zscaler reported fiscal 2026 revenue of approximately $3.77 billion, up about 25%, while annual recurring revenue reached $3.77 billion and remaining performance obligations increased 27% to $7.37 billion.

The market response has been relatively constructive but not one-directional. Zscaler shares closed October 5 at $201.80, up 2.64% on the session, although the stock remained below the levels reached before a sharp September decline. This suggests that investors are weighing the potential for stronger cybersecurity demand against valuation, execution and broader technology-sector risks.

AI Optimism Meets Higher Interest Rates

The broader market backdrop remains important. During the September 28–October 2 trading week, the Nasdaq gained about 0.45%, while the S&P 500 fell 0.27%, the Dow declined 1.26% and the Russell 2000 slipped 0.16%. Meanwhile, the 10-year Treasury yield ended the week around 5.28%, keeping pressure on long-duration technology valuations.

The divergence indicates that investors continue to reward companies linked to AI and technology growth, but the environment is far from risk-free. Higher bond yields, elevated financing costs, geopolitical premiums and currency volatility could limit valuation expansion even if enterprise AI spending continues to grow.

Going forward, investors will likely focus on whether AI security becomes a core infrastructure requirement rather than an optional technology layer. Zscaler’s investor-day strategy, enterprise spending trends and evidence that governance frameworks are catching up with agent deployment will be important indicators. The opportunity may be substantial, but the pace of adoption is likely to depend on whether companies can establish sufficient controls before autonomous systems are given increasingly consequential responsibilities.