I've been thinking a lot about the "post-Mythos" conversation happening in cybersecurity right now.
For those who have not followed it closely, Mythos is Anthropic's restricted frontier AI model designed for advanced cybersecurity research. Reports around the model suggest it can autonomously identify and chain together vulnerabilities far faster than traditional human-led workflows, which has triggered a broader industry conversation around AI-driven offensive security and machine-speed attacks.
For good reason, most of the discussion so far has focused on some very real questions:
- Will AI accelerate offensive security?
- Will attackers operate at machine speed?
- Will traditional SOC workflows struggle to keep up?
Those are important conversations.
But I think another risk is emerging that founders and cybersecurity marketers should pay attention to.
Post-Mythos, We Are About to See a Wave of Rushed Positioning
Every time the industry experiences a major security event or technical shift, vendors rush to attach themselves to the story:
"We would have stopped this."
"Our AI detects this."
"Our platform solves this problem."
We saw it with:
- Ransomware
- SolarWinds
- Log4Shell
- Supply chain attacks
- Cloud security
- And now AI and agentic security
The problem is that sophisticated buyers can usually tell the difference between:
- Genuine architectural relevance and
- Opportunistic positioning.
And I think that gap becomes much more dangerous in a post-Mythos world.
Because if frontier AI models truly accelerate:
- Vulnerability discovery
- Exploit chaining
- Adaptive attack creation
- Machine-speed offensive operations
Security buyers will become even more skeptical of generic AI claims than they are today.
Simply saying:
- AI-powered
- Autonomous
- Agentic
- Machine-speed
is not differentiation anymore.
Silence Is Not the Answer Either
That does not mean startups should stay silent on Mythos or broader AI-driven offensive security concerns. Quite the opposite: buyers want to hear how vendors are thinking about these shifts and what their roadmap looks like going forward.
In fact, many buyers are actively looking for signals that their vendors understand how offensive AI capabilities may change the threat landscape over time.
If your platform already has capabilities that help organizations:
- Investigate adaptive threats faster
- Reduce detection latency
- Improve runtime visibility
- Correlate behavioral activity
- Reason across identity, endpoint, cloud, and runtime context
…that is worth talking about.
And if parts of your strategy are still evolving, that is okay too. I do not think most CISOs expect any single vendor to suddenly have the entire answer locked down.
But they do want to know:
- You understand the implications
- You are thinking seriously about the problem
- Your product and engineering teams are adapting
- Your roadmap reflects where the threat landscape may be heading
This Is Not a One-Blog-Post Moment
I also do not think this should be treated as a one-blog-post moment.
As offensive AI capabilities continue to evolve, your communication strategy needs to evolve alongside them.
That may mean:
- Recurring updates as your thinking evolves
- Ongoing perspective from leadership and product teams
- Dedicated web content around offensive AI and defensive strategy
- Roadmap transparency where appropriate
- Continuous education for customers, trying to understand what these shifts actually mean operationally
Even if your capabilities are still evolving, buyers increasingly want to see that their vendors are paying attention, adapting, and thinking seriously about where the market is heading.
Trust Is Built Quietly, Not Loudly
The companies that build trust in moments like this usually are not the ones making the loudest claims during the rush to position. They are the ones that communicate clearly, stay technically credible, evolve alongside the threat landscape, and are honest about both their current capabilities and where they are headed next.
Whether Mythos itself becomes the defining inflection point or not, one thing already feels clear: offensive AI capabilities are evolving quickly, buyer expectations are changing with them, and cybersecurity vendors will need to continuously adapt how they build, position, and communicate their products going forward.