In early trading on Friday, March 27, cybersecurity industry stocks plummeted.
In the early trading of U.S. stocks on Friday, Tenable once fell by more than 13%, Zscaler once fell by more than 9.5%, Palo Alto Networks once fell by more than 8.2%, and CrowdStrike once fell by more than 7.8%. Later, the decline eased. Tenable fell by about 8%, and the decline of the latter three narrowed to less than 6%.
Cybersecurity stock ETF – Global X Cybersecurity ETF (BUG) fell as much as 6.1% in early trading. At the end of early trading, the decline narrowed to about 4%.
The sharp decline in cyber security stocks was not due to performance or macro data, but was triggered by a piece of news about AI security risks: An unreleased model from Anthropic was exposed that may improve hacker attack capabilities, thus triggering market concerns about "AI weakening the network security moat."
The media pointed out that Anthropic’s other AI functions have also triggered chain sell-offs in the software and data analysis sectors this year. In other words, this round of selling is not about performance, but "narrative": the market is worried that the improvement of AI security capabilities will lower the threshold of attack, thus forcing security manufacturers to invest more research and development and computing power, and even put pressure on customer budget allocation.
At the same time, some Wall Street analysts believe that the market reaction is extreme, and Anthropic is also trying to feed back the risk test results of the new model to security companies. This is more like an "offensive and defensive arms race" rather than a complete replacement of network security needs. Some analysts believe that this type of disclosure is more like "basic operations" rather than a signal of industry failure. Some media believe that the related selling may be exaggerated.
Is AI capability "crossing the line"? Anthropic model triggers market sensitivity
According to media disclosures, a new model being tested by Anthropic has been deemed in internal assessments to potentially bring "unprecedented network security risks", especially if it is used maliciously, and may help attackers bypass existing defense systems.
Although Anthropic subsequently responded that the relevant content was in the testing phase and emphasized that the company was cooperating with security vendors and sharing risk assessment results in advance, the market clearly chose to price the potential impact first.
This is crucial – the current focus of competition in the AI industry is not just "who is stronger", but "to what extent will it change the industry structure?" When model capabilities touch sensitive areas such as automated vulnerability exploitation and attack script generation, the impact will directly affect the core values of network security vendors.
Not for the first time: The “transaction template” for AI’s impact on network security is taking shape
In fact, this is not the first time that the cybersecurity sector has plummeted due to Anthropic-related news.
Previously, after Anthropic released AI security tools, the stock prices of companies such as CrowdStrike and Datadog also suffered significant sell-offs. The market has gradually formed a conditioned reflex: once AI capabilities are considered to be "on the attacker's side," the security sector will be the first to come under pressure.
Behind this kind of transaction is investors' re-examination of the industry logic:
Before there are clear answers to these questions, funds often choose to "sell first and then talk about it".
Core Impact: AI is changing the balance of offense and defense, rather than simply replacing it
Looking at a deeper level, the essence of market panic is not "AI replaces network security", but "AI changes the balance of offense and defense."
The business logic of traditional network security is based on a premise: the defender can gradually suppress the attacker through rules, models and data accumulation. However, the emergence of AI has enabled attackers to gain “scale capabilities”——
This means that the security industry may enter a "dynamic arms race" stage: defense capabilities must be continuously upgraded to offset the AI blessing on the attack side.
Under this framework, the long-term demand of security manufacturers may not decline, but the short-term profit model and valuation logic will be impacted – especially when enterprise customers have limited budgets.
The divide remains: Overreaction, or an inflection point?
Although the stock price has fluctuated wildly, some analysts believe the market reaction may be extreme.
On the one hand, Anthropic itself is actively conducting risk testing and cooperating with security vendors, which means that the industry is not passively bearing the impact, but is adapting in advance; on the other hand, AI is also improving defense capabilities, such as automated threat detection, real-time response, etc.
In other words, this is more likely to be an "anticipated repricing" than an immediate deterioration in fundamentals.
Judging from historical experience, sell-offs driven by AI news often have two characteristics:
Cybersecurity stocks narrowed their intraday losses on Friday, reflecting to some extent that funds are beginning to reassess the true extent of the impact.
AI spillover effects intensify, and the market enters a "highly sensitive period"
What is even more noteworthy is that this incident once again proves that the impact of AI is rapidly spilling over to more industries.
From software development, search engines, to today's network security, the way the market prices AI is changing – any potential signs of "replacement", "weakening" or "reconstruction" will be quickly reflected in the stock price.
At this stage, AI is not only a source of growth stories but also becoming an amplifier of volatility.
For the cybersecurity industry, the real test may have just begun: when AI empowers both offense and defense, who can run faster in this competition will be the key to long-term victory or defeat.
