In Focus Parley | Should the Mythos AI model raise cybersecurity alarms at governments and companies?

In Focus by The Hindu24mApril 16, 2026

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AI-Generated Summary

This episode of InFocus by The Hindu explores the implications of Anthropic's new AI model, Claude Mythos Preview, which has demonstrated unprecedented capabilities in autonomously identifying, triaging, and even exploiting cybersecurity vulnerabilities in code. The discussion features cybersecurity experts Sharda Tiku from Trend AI and Asim Chakhar from Paya 2, who debate the real-world impact of such advanced AI on both offensive and defensive cyber operations. While Mythos raises alarms due to its potential to compress the entire vulnerability lifecycle—discovery, exploitation, and patching—experts emphasize that the real bottleneck remains not discovery, but execution: patching known vulnerabilities that organizations have long failed to address. The conversation shifts to the future of cybersecurity careers, with both guests agreeing that AI will automate low-level tasks, forcing professionals to focus on higher-order skills like contextualization, prioritization, and strategic defense. State-sponsored attackers and zero-day markets are expected to adapt, with prices dropping and offensive tactics evolving toward misconfigurations and identity exploits. Ultimately, the episode concludes that while AI accelerates the cyber arms race, the most effective defense lies in closing existing gaps in vulnerability management and building resilient systems. Key takeaways include: 1) AI is not a silver bullet—organizations must fix their patching backlogs before AI can help; 2) Cybersecurity roles will shift from discovery to strategic defense and prioritization; 3) The zero-day market will be disrupted, with lower prices and shorter shelf lives; 4) Defensive AI tools will help close the gap on known vulnerabilities, which remain the primary attack vector; 5) Speed and resilience, not just detection, will define future cyber superiority. The overall tone is cautiously urgent but optimistic, emphasizing proactive adaptation over fear.

Key Takeaways
1

AI models like Mythos accelerate vulnerability discovery but do not solve the real problem: patching known vulnerabilities that organizations have ignored for years.

2

Cybersecurity professionals must shift from manual discovery to strategic prioritization, validation, and defense orchestration as AI automates low-level tasks.

3

The zero-day market will be disrupted—prices will drop and shelf life will shorten—forcing both attackers and defenders to adapt faster.

4

Most successful attacks still exploit unpatched known vulnerabilities, making vulnerability management and resilience more critical than ever.

5

The future of cybersecurity is not about who finds bugs first, but who responds fastest and most effectively at scale.

Chapters
0:00
2 min

Introducing Claude Mythos Preview

Claude Mythos preview is a particularly big jump along that point. We haven't trained it specifically to be good at cyber. We trained it to be good at code, but as a side effect of being good at code... It's also good at cyber.

Highlight
2:00
3 min

The Cybersecurity Implications of Autonomous AI

It might be good in one thing but gets difficult to smoothen the workflow. So I think we're going to see a lot of bugs being identified and... eventually they will have to release it so I don't know how helpful the delay is.

Highlight
5:00
5 min

The Real Bottleneck: Patching, Not Discovery

The biggest bottleneck has for the enterprises has always been the execution. So if AI starts finding vulnerabilities at scale, the problem doesn't get solved, it actually gets amplified.

Highlight
10:00
5 min

The Future of Cybersecurity Careers

Asim Chakhar and Sharda Tiku discuss how AI will reshape the cybersecurity profession, reducing demand for deep technical expertise in vulnerability hunting while increasing the need for strategic thinking, AI integration, and defense orchestration.

15:00
5 min

The Zero-Day Market in the Age of AI

Experts debate whether AI will kill the zero-day market or simply transform it—lowering prices, shortening shelf life, and forcing attackers to shift to misconfigurations and identity exploits.

High-Impact Quotes
Most successful attacks don't use zero days. They use known vulnerabilities that were never patched.
Sharda Tiku23:16
Viral: 92.0
The biggest bottleneck has for the enterprises has always been the execution. So if AI starts finding vulnerabilities at scale, the problem doesn't get solved, it actually gets amplified.
Sharda Tiku12:12
Viral: 90.0
People who are not relying on AI right now, I think they're going to die in the next few years.
Asim Chakhar12:40
Viral: 88.0
Speakers

Host

Aron

Guests

Sharda TikuAsim Chakhar
Topics Discussed
AI in Cybersecurity95%Vulnerability Management90%Zero-Day Exploits88%AI Autonomy in Exploitation87%Cybersecurity Careers85%Defensive AI Tools83%Cybersecurity Economics78%State-Sponsored Cyber Attacks75%
People & Brands

Sharda Tiku

person

24xPositive

Asim Chakhar

person

20xPositive

Claude Mythos Preview

product

18xPositive

Anthropic

organization

12xNeutral

Trend AI

organization

8xPositive

Zero-Day Initiative

other

4xPositive

Trend Micro

organization

3xPositive

Dario Amadai

person

3xNeutral

Paya 2

organization

3xPositive

NullCon Cybersecurity Conference

other

3xPositive

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