Investing.com — Cybersecurity stocks may face continued near-term pressure as large language model (LLM) providers expand into security tools, but Jefferies says the sector remains a long-term winner from artificial intelligence despite growing headline risks.
The warning follows Anthropic’s announcement of a limited research preview of Claude Code Security, a tool designed to scan codebases for vulnerabilities and suggest patches. Jefferies described the launch as incremental compared with OpenAI’s earlier Aardvark release but said it reinforces a broader trend of AI companies moving deeper into cybersecurity budgets.
Jefferies expects new AI-driven offerings to intensify concerns around competition for spending, particularly in vulnerability management, code scanning and SIEM. While chief information security officers (CISOs) may be hesitant to fully trust remediation capabilities from LLM providers, the firm said uncertainty alone could weigh on cyber stocks until adoption trends become clearer.
Within vulnerability management, Jefferies sees as the most insulated due to its focus on remediation and patching, followed by , while could face the most pressure from shifting budgets.
The analysts added that disruption risk appears highest in analytics-driven segments such as SIEM, code scanning and portions of managed detection and response, where AI tools could automate tasks traditionally handled by junior analysts. By contrast, areas like firewalls, endpoint security and identity management may be more resilient, with identity potentially benefiting first as companies look to secure AI agents.
Jefferies maintains that cybersecurity remains a net beneficiary of AI over time, but said investors should expect volatility as LLM vendors continue rolling out competing products. Anthropic’s upcoming product keynote later this month could provide more clarity on how aggressively AI providers plan to push into the market.
For now, the firm suggests the recent selloff may reflect short-term sentiment rather than a structural shift in demand, though it cautions that headline risks are likely to persist until the industry’s AI strategy becomes clearer.