After a cybersecurity meeting, I wanted to put my thoughts into an article with the help of artificial intelligence. AI security and security against AI have become new concepts. While endpoint security used to be very important, now three other topics are being discussed. These topics existed before, but weren't as prominent.
1. Vulnerability Analysis (Finding a system's vulnerabilities first)
2. Zerotrust / User Access Management
3. Data Backup and Data Recovery
Everything changed fundamentally with Claude Mythos. Let's first look at what happened.
The first half of 2026 was recorded as a period of reckoning where cybersecurity doctrines changed radically and traditional defense walls crumbled. The Claude Mythos model, announced by Anthropic, shockingly revealed how the speed of artificial intelligence rendered traditional security methods ineffective. It soon became clear that Anthropic CEO Dario Amodei's warnings about the cybersecurity risks of this technology were not simply a PR stunt for a public offering, but a harbinger of a systemic revolution. The structure we face is no longer a passive language model, but an autonomous agentic AI system that deeply analyzes complex codebases, transforming logical weaknesses into exploit ammunition in seconds.
The asymmetric threat created by the model is clearly visible in the ExploitGym test results. Claude Mythos successfully exploited 157 out of 898 real-world vulnerabilities tested, outpacing its closest competitor, the previous generation Claude 4.6 Opus model, by a factor of ten. This capability, combined with superagent architectures like OpenClaw that can execute terminal commands directly on user machines, provides an unprecedented advantage to the attacking side. As Thorsten Holz, Scientific Director of the Max Planck Institute for Security and Privacy, points out, these systems, which execute the plan, act, observe, and correct cycle at machine speed, have transformed cyberspace into an autonomous battlefield.
In response to this new reality, CISA has set a new standard by issuing directive BOD 26-04, which mandates patching public internet assets within three calendar days. However, according to Verizon's 2026 DBIR report, in a system where the average time to patch a vulnerability is 43 days, this three-day rule is essentially an official declaration that the era of human-based patching is technically over. Mozilla's discovery of 271 vulnerabilities in its Firefox browser in just two weeks using Mythos Preview proves the inadequacy of manual defense. Attackers can now reverse engineer released patches instantly and reach their targets before systems are updated.
Traditional perimeter security concepts, VPN infrastructures, and firewalls have completely collapsed in the face of this autonomous discovery force. The principle expressed by Zscaler CEO Jay Chaudhry, "If you can reach them, you can be reached," has become central to today's architectural defense doctrine. Zero-trust architecture is no longer just a prestigious security option; it has become the only way to survive in this ecosystem where every port open to the internet is a target. It is a critical necessity for organizations to micro-segment their networks, make their applications invisible, and constantly authenticate.
Just as the destructiveness of external threats has made internal shadow AI use a difficult crisis to manage for organizations, so too has the issue of employees granting access permissions to AI tools without company approval, leading to massive data leaks. According to analyses by Commvault, which strengthened its data security by incorporating Satori, 90% of organizations have already put their sensitive data at risk due to uncontrolled AI use. Okta, with its Okta for AI Agents platform launched on April 30, 2026, addresses this problem by making the kill switch mechanism an industry standard. Thanks to this technology, all access to misbehaving AI agents can be centrally revoked in seconds.
This level of technological advancement has transformed the issue from a purely corporate IT problem into an international game of chess. The imposition of emergency export restrictions on Mythos models by US Commerce Secretary Lutnick on June 12, 2026, and the refusal of China's access request, demonstrate that these models are classified as a strategic superweapon. The cyber front is now being fought through autonomous systems that measure in seconds and elevate asymmetric attack capabilities to the level of nuclear deterrence.
Cyber Security Investment
This radical transformation directly shapes the direction of cybersecurity investments on US stock exchanges. Anthropic, through its Project Glasswing coalition, which aims to enable the defensive use of the model, has established strategic partnerships with giants like Palo Alto Networks, CrowdStrike, Zscaler, Tenable, Qualys, and Rubrik. These companies have become key players in the market for AI-powered vulnerability analysis, zero-trust-based identity management, and cyber data recovery. In particular, Palo Alto Networks' integration of CyberArk, combining identity and network security, and Rubrik's anomaly detection and clean data recovery capabilities, are key factors that differentiate them in the sector.
For capital that structures its investment strategies around this autonomous AI reality, ETF funds stand out as a strategic tool. The Global X Cybersecurity ETF ($BUG), which holds all these key companies in a balanced portfolio, provides ideal coverage by holding transformative players like Tenable, Qualys, and Rubrik with significant weightings of approximately 4% to 5%. For those seeking high liquidity and wanting to focus on large-scale companies, the First Trust NASDAQ Cybersecurity ETF ($CIBR) offers a strong alternative. In this new era, capital is flowing not only to those who create artificial intelligence, but also to the invisible architects who protect organizations from the disruptive effects of this power.
