AI "Backlash" in the Security Industry? Anthropic's New Model Sparks Panic, Cybersecurity Stocks Plummet collectively

Ask AI · How Will AI Reshape the Offensive and Defensive Balance in the Cybersecurity Industry?

On Friday morning, March 27, cybersecurity stocks plummeted.

During the early trading of U.S. stocks on Friday, Tenable briefly dropped over 13%, Zscaler fell more than 9.5%, Palo Alto Networks was down more than 8.2%, and CrowdStrike dropped over 7.8%. The decline later eased, with Tenable down about 8%, and the latter three companies narrowing their losses to under 6%.

The cybersecurity stock ETF—Global X Cybersecurity ETF (BUG)—saw an early drop of up to 6.1%, but by the end of the morning session, losses narrowed to around 4%.

The sharp decline in cybersecurity stocks was not due to earnings or macro data but was triggered by news regarding AI security risks: a yet-to-be-released model from Anthropic was reported to potentially enhance hacking capabilities, raising market concerns about “AI undermining the cybersecurity moat.”

Media pointed out that other AI functions from Anthropic had also previously triggered a chain sell-off in the software and data analytics sectors this year. In other words, this round of selling was not about earnings but about the “narrative”: the market is worried that improvements in AI security capabilities will lower the threshold for attacks, forcing security vendors to invest more in research and development and computational power, which could even pressure client budget allocations.

Meanwhile, some Wall Street analysts believe the market’s reaction is overblown, as Anthropic is also trying to provide the risk testing results of the new model back to security companies, which feels more like an “arms race” rather than a complete replacement of cybersecurity demand. Some analysts argue that this kind of disclosure is more like “standard practice” rather than a signal of industry failure. Other media believe that the related sell-off may have been exaggerated.

AI Capability “Crossing Boundaries”? Anthropic’s Model Triggers Market Sensitivity

According to media reports, a new model being tested by Anthropic was deemed to potentially bring “unprecedented cybersecurity risks” during internal evaluations, especially when maliciously exploited, as it could help attackers bypass existing defense systems.

Although Anthropic later responded that the related content is still in the testing phase and emphasized that the company is collaborating with security vendors to share risk assessment results in advance, the market clearly chose to price in the potential impact early.

This is crucial—current competition in the AI industry is no longer just about “who is stronger,” but rather “how strong does one have to be to change the industry structure.” When model capabilities touch sensitive areas such as automated vulnerability exploitation and attack script generation, their impact will directly affect the core value of cybersecurity vendors.

Not the First Time: The “Trading Template” of AI Impacting Cybersecurity is Forming

In fact, this is not the first time the cybersecurity sector has plummeted due to news related to Anthropic.

Previously, after Anthropic released AI security tools, companies like CrowdStrike and Datadog also faced significant sell-offs. The market is gradually forming a conditioned reflex: once AI capabilities are perceived as potentially “on the side of attackers,” the security sector will be the first to feel the pressure.

Behind this trading behavior is a re-examination of the industry logic by investors:

• Is AI lowering the threshold for hacker attacks?
• Will automated attacks weaken the effectiveness of traditional detection and defense software?
• Do security vendors need to invest more to maintain the same level of protection?

Until these questions have clear answers, funds often choose to “sell first and ask questions later.”

Core Impact: AI is Changing the Offensive and Defensive Balance, Not Simply Replacing It

At a deeper level, the essence of market panic is not “AI replacing cybersecurity,” but rather “AI changing the offensive and defensive balance.”

The commercial logic of traditional cybersecurity is built on one premise: the defending side can gradually suppress attackers through rules, models, and data accumulation. However, the emergence of AI has also granted attackers “scaled capabilities”—

• Faster generation of phishing emails
• Automatic writing and optimization of attack codes
• More efficient identification of system vulnerabilities

This means that the security industry may enter a stage of “dynamic arms race”: defensive capabilities must continuously upgrade to offset the AI enhancements on the attacking side.

Within this framework, the long-term demand for security vendors may not necessarily decrease, but the short-term profit models and valuation logic will be impacted—especially in scenarios where corporate client budgets are limited.

Disagreement Remains: Overreaction or Trend Inflection Point?

Despite the sharp fluctuations in stock prices, some analysts believe the market reaction may be exaggerated.

On one hand, Anthropic is actively conducting risk tests and collaborating with security vendors, meaning the industry is not passively enduring the shock but is adapting in advance; on the other hand, AI is also enhancing defensive capabilities, such as automated threat detection and real-time responses.

In other words, this is more likely a “re-pricing of expectations” rather than an immediate deterioration of fundamentals.

From historical experience, sell-offs driven by AI news often exhibit two characteristics:

• Emotion-driven, with limited sustainability
• As more information is disclosed, declines gradually recover

On Friday, the narrowing of declines in cybersecurity stocks during intraday trading has, to some extent, reflected that funds are beginning to reassess the real extent of the impact.

AI Spillover Effects Intensify, Market Enters a “High Sensitivity Period”

More importantly, this incident once again proves that the impact of AI is rapidly spilling over into more industries.

From software development and search engines to the current cybersecurity landscape, the market’s pricing approach to AI is changing—any potential signs of “replacement,” “undermining,” or “restructuring” will quickly reflect in stock prices.

At this stage, AI is not only the source of growth stories but is also becoming an amplifier of volatility.

For the cybersecurity industry, the true test may just be beginning: when AI empowers both sides of the offense and defense, who can run faster in this competition will be the key to determining long-term outcomes.