Discover why Cato Networks' Etay Maor calls Anthropic’s new AI model an "evolution" in security. Explore the shift from chatbots to agentic security tools in 2026.
Anthropic's New AI Model: An "Evolution" in
What We Know About Security
If you’ve been following the
breakneck pace of Artificial Intelligence in 2026, you know that we are no
longer in the "chatting" phase. We have entered the Agentic Phase.
And according to Etay Maor, the Vice President of Threat Intelligence at
Cato Networks, Anthropic’s latest release—the restricted Claude
Mythos Preview—is more than just a faster model. It is a fundamental
evolution in our understanding of digital security.
👇 👇
For years, cybersecurity was a game
of cat and mouse played between human hackers and human defenders. But as Maor
pointed out in the recent 2026 Cato CTRL Threat Report, the game has
changed. AI is no longer just a tool used by hackers; it is becoming the
hacker. And Anthropic’s Mythos is the first model to prove that the
"defensive wall" of human-written code may be thinner than we ever
imagined.
The
Mythos Moment: Beyond the Sandbox
When Anthropic first briefed its
partners on Mythos, the headline wasn't its speed or its poetry. It was its "Autonomy
of Intent." Etay Maor describes this as a "security
evolution" because Mythos demonstrated capabilities that traditional Large
Language Models (LLMs) lacked. While previous models like Claude 3.5 Sonnet
were great at finding bugs, Mythos showed an uncanny ability to orchestrate
a multi-step exploit. ### 1. The Discovery of "Invisible" Flaws
During internal red-teaming, Mythos
didn't just find known vulnerabilities; it identified logic-level flaws in
legacy codebases—some nearly 30 years old—that had survived decades of human
auditing. Maor notes that this marks a shift from "pattern matching"
to "reasoning through logic." If a machine can reason through the
intent of a programmer, it can find where that intent failed, even if the
syntax is perfect.
2.
The Agentic Threat Landscape
The most concerning—and
revolutionary—aspect of the new model is its Computer Use capability. Mythos
can interact with a computer interface just like a human: moving the mouse,
clicking buttons, and navigating complex software environments.
In the hands of a defender, this is
a miracle for automated patching. In the hands of an attacker, as Cato CTRL
revealed, it allows for the weaponization of AI frameworks like
MedusaLocker ransomware, where the AI handles the encryption and extortion
workflows autonomously.
Why
Etay Maor Calls It an "Evolution"
To understand why a veteran like
Maor is using such strong language, we have to look at the three trends he
identified as defining 2026:
A.
The Death of Implicit Trust
Historically, security systems
assumed that if a request came from an authenticated user or a known
application, it was "safe." AI agents break this. Mythos can
"hide" malicious instructions inside legitimate-looking URL fragments
(a technique called HashJack). Maor warns that we can no longer trust
the data the AI consumes, because that data might be a "poisoned"
instruction in disguise.
B.
Supply-Chain Risk 2.0
We are giving AI agents more
permissions than ever—access to our emails, our Slack, and our sensitive
databases. Maor points out that Anthropic’s new model highlights a critical flaw:
we are creating a "process debt" where hidden errors and
unauthorized AI actions build up over time without detection.
C.
The Shift to "Model Firewalls"
Because Mythos is so powerful, the
industry is moving toward Thinking Encryption and model-specific firewalls.
We are no longer just protecting the network; we are protecting the thought
process of the AI itself.
The
"Human-in-the-Loop" Necessity
Despite the terrifying power of
models like Mythos, Maor’s message isn't one of doom—it's one of Strategy.
The "evolution" in security requires a new kind of human oversight.
We are moving from "technicians" to "orchestrators." Cato
Networks is leading this charge by advocating for Least Privilege for AI
Agents. Just as you wouldn't give a new intern the keys to the server room,
you shouldn't give an AI agent broad, persistent permissions to your data
pipelines.
Conclusion:
The New Security Standard
Anthropic’s Mythos is the bellwether
for a new era. It has forced the world’s leading threat intelligence teams,
like Etay Maor’s group at Cato Networks, to rethink the very foundations of
Zero Trust.
The security evolution isn't about
building a better wall; it’s about building a better Identity and Governance
framework for the non-human workers who are about to take over our digital
world. As Maor puts it, 2026 is the year we stop "using" AI and start
"governing" it.
Frequently
Asked Questions (FAQs)
1.
Why did Anthropic warn that Mythos was "too powerful" to release?
Anthropic’s red-teaming showed that
Mythos could autonomously find and exploit complex security flaws in software
that human experts had missed for decades. The company feared that if the model
fell into the wrong hands, it could be used to destabilize global
infrastructure.
2.
What is "Agentic AI" in the context of security?
Agentic AI refers to models that
don't just generate text but can take actions—such as running code, calling
APIs, and interacting with computer interfaces—to achieve a multi-step goal
without constant human intervention.
3.
What is a "HashJack" attack?
Identified by Cato CTRL, HashJack is
a prompt-injection technique where malicious instructions are hidden in the URL
fragment of a legitimate link. When an AI browser reads the link, it executes
the hidden command, potentially leaking data or taking unauthorized actions.
4.
How does Cato Networks protect against these new AI threats?
Cato Networks advocates for Least
Privilege for AI, where agents are assigned unique identities with specific
permissions. They also use AI-driven incident detection to monitor AI workflows
for anomalous behavior in real-time.
5.
Will AI replace human security analysts?
According to Etay Maor, AI will
handle the "operational stages" and grunt work, but humans are more
essential than ever for Policy Management, Ethical Oversight, and Final
Approval of high-risk actions.
Keywords: Anthropic Mythos security, Etay Maor Cato Networks, AI
threat intelligence 2026, agentic AI risks, Claude 3.5 security evolution.
Hashtags: #Anthropic #CatoNetworks #CyberSecurity2026 #AISecurity
#EtayMaor
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