AI is transforming cyberspace - Claude Mythos

AI Compressed Industrial Revolution in Cybersecurity

The current transformation of cybersecurity through artificial intelligence (such as Claude Mythos) is unfolding at a pace that overwhelms traditional adaptation mechanisms across business, society, and research. We are in the midst of a disruption that compresses the force of the Industrial Revolution into just a few years - forcing an immediate shift away from reactive strategies.

Proactive Cybersecurity as a Strategic Imperative

Against this backdrop, our work at asvin Labs demonstrates that cybersecurity research must act proactively to secure technological sovereignty in the age of AI. If organizations hesitate during this critical phase, they risk not only losing their edge in innovation but also facing a long-term erosion of their global influence. This erosion is driven by overload - caused by AI-automated cyberattacks and the resulting strain on both human operators and infrastructure.

The Collapse of Human-Only Defense Models

In cybersecurity in particular, the situation will escalate dramatically over the next 12 months. AI-driven attacks - powered by systems like Claude Mythos and similarly capable models - are reducing response times for effective defense to fractions of a second. Purely human defense strategies are rapidly losing their effectiveness. As a result, modern security architectures must rely on automated AI systems capable of neutralizing threats with a high degree of autonomy.

AI-Driven Intelligence as the New Security Backbone

asvin’s work in Cyber Threat Intelligence (CTI), Risk by Context, and Cybersecurity Knowledge Graphs highlights how AI-powered information analysis, threat prioritization, and predictive modeling can protect critical infrastructure. However, it is already evident that institutions are not yet adequately prepared for the rapidly increasing intensity of these automated attacks - the “Claude Mythos effect.”

The Urgent Need for an “AI First” Paradigm

To address this development, the principle of “AI First” must be established as a guiding standard within organizations. AI can no longer be treated as an isolated add-on; it must become the central foundation for methodologies, processes, and the execution of cybersecurity. Resources must be prioritized toward approaches that - like asvin’s products and services - accelerate insight generation and response capabilities through AI. Only with such a consistent focus can organizations define their own security standards instead of merely reacting to developments in cyberspace.

Speed as the New Currency in Cybersecurity

This requires a fundamental shift away from traditional cybersecurity management approaches toward models that explicitly reward speed. Lengthy planning cycles and rigid project timelines currently prevent AI-based tools from being deployed in time to withstand the coming wave of AI-driven attacks.

Rethinking Leadership and Decision-Making in the AI Era

Decision-makers must promote agile incentives, prioritize rapid prototyping, and embrace iterative cycles. Only when CISOs and security leaders recognize speed - enabled by AI - as a core value can they maintain an effective position in the global competition against AI-augmented attackers.

Human Judgment as the Ethical Anchor of AI

Despite the technological acceleration driven by AI, humans remain essential as the guardians of ethical boundaries and evaluative judgment in this transformation. Investments in “human-in-the-loop” capabilities are critical to ensuring that AI-driven decisions remain transparent and accountable. True resilience against AI-driven security disruptions emerges only from the synergy between AI efficiency - such as that delivered by asvin for complex IT/OT systems - and human intuition.

7 ways
that will transform cybersecurity over the next 12 months *

*with Anthropic Glasswing and Agentic-AI.

1.

Starting in July, we’ll be inundated with vulnerabilities (CVEs)*

* Following the release of the Claude Mythos model by Anthropic.

2.

Zero-day exploits will become affordable for everyone.*

* The token investment required to detect zero-day vulnerabilities is > USD 100. The number of zero-day exploits on trading platforms is increasing, and prices are falling.

3.

Indicators of Compromise (IOCs) often go undetected for a long time*

* Agentic-AI identifies complex IOCs that make detection difficult using conventional tools and methods

4.

Binary code does
not protect against analysis by attackers*

* AI-based scans of binary code - e.g., firmware - open up new opportunities for attackers, particularly in OT

5.

Prices for cybersecurity insurance will rise*

* Policies will become more expensive for those who cannot demonstrate that their IT/OT systems are being patched and updated

6.

The cybersecurity and penetration testing market is being disrupted*

* Service providers and products that do not adopt an “AI-first” approach will be pushed out of the market

7.

Trust in AI-based security audits is growing*

* Benchmarks will show that the results of AI-generated cybersecurity reports are better than those of human red teams

Turning AI from Threat into Opportunity

Together, we work with you to ensure that AI innovations like Claude Mythos become an opportunity for your organization—and that AI-driven threats can be effectively countered.