Artificial Intelligence is reshaping the Cybersecurity stack
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Key Takeaways
- AI is changing cybersecurity, increasing risks and defenses.
- Tech firms are building tools to secure AI and software.
- Cybersecurity is now core to AI infrastructure and investing.
The cybersecurity industry gained significant attention when Anthropic launched Project Glasswing, a controlled cybersecurity initiative built around Claude Mythos Preview. This is the organization’s most version as of the latest. Although Mythos will not be released to the general public, twelve launch partners—including Google, Microsoft, NVIDIA, JPMorgan Chase, AES, and Palo Alto Networks, along with more than forty other organizations—are using it to identify and remediate vulnerabilities in critical software systems. Anthropic has also committed $100 million in usage credits to support the initiative.
Speed has become a critical factor in cybersecurity. Threat actors identify vulnerabilities faster than organizations can fix them, while developers release software faster than security teams can assess it. The rise of AI agents—autonomous programs connected to internal systems, cloud platforms, and databases—is also expanding the attack surface beyond traditional networks to include code, AI systems, and software supply chains.
Palo Alto Networks, a Project Glasswing partner, spoke of this challenge by reporting 26 CVEs accounting for 75 security issues in just a single month, this is beyond its usual monthly average. The company estimates that businesses have only three to five months to stay ahead before similar AI-powered capabilities becoming more available to exploiters.
Meanwhile, CrowdStrike is focusing on securing AI agents as they operate within customer environments. According to its 2026 Threat Report, AI-enabled cyberattacks increased by 89% year-over-year, underscoring the growing need to protect Artificial Intelligence systems as their adoption speeds up.
Up Next: Secure Development
AI coding tools have accelerated software development, but they have also increased security risks. As AI agents gain access to internal systems and external tools, organizations require stronger governance frameworks and tighter access controls.
Several companies are working to address this challenge. JFrog has introduced a registry that manages and secures the connectors AI agents use to access external tools and databases. Similarly, Cloudflare has launched Cloudflare Mesh, a solution that enables users, applications, and AI agents to connect to internal systems through secure private networks rather than the public internet.
JFrog believes governance will become increasingly important in an AI-driven world. As AI adoption grows, organizations will require tools for vulnerability detection, identity verification, secure connectivity, and real-time monitoring. Consequently, AI cybersecurity is evolving into a fundamental component of enterprise infrastructure.
Cybersecurity’s Growing Role in the AI Ecosystem
Within the ROBO Global Artificial Intelligence Index (THNQ), cybersecurity is primarily classified under the Network & Security segment, which accounted for 14% of the index’s industry allocation as of March 31, 2026. However, its influence extends beyond this category into cloud computing, big data and analytics, business process solutions, and semiconductors, highlighting its expanding role within the AI ecosystem.
For investors, the message is clear: while AI is creating new security challenges, it is also strengthening defensive capabilities. Companies that provide solutions for securing software, managing AI agents, and protecting digital connections are positioned to play a vital role in the next phase of AI adoption and growth.
