Anthropic’s announcement of Claude Mythos has generated significant attention across the cybersecurity and digital forensics community. We want to address it directly, transparently, and with the confidence of an organization that has navigated decades of technological change in this space.

Let’s start with what we know thus far. Anthropic claims that Mythos represents a significant leap in autonomous vulnerability discovery and – more notably – autonomous exploit development. At this stage, those claims have not been independently verified, and Mythos itself remains restricted to a small coalition of defensive research partners including Apple, Google, Microsoft, and the Linux Foundation. We will know considerably more within 90 days, when Anthropic has committed to publicly disclosing the vulnerabilities Mythos has identified.

“Cellebrite’s unique differentiator is not simply in finding vulnerabilities – it’s in developing reliable, forensically sound techniques to safely extract data and transform it into actionable intelligence. That is a capability that cannot be replicated by a language model alone.”

The Myths & Realities of Mythos: What Changes & What Does Not 

Myth #1: Mythos Changes the Direction of Vulnerability Research Overnight

Reality: Cellebrite, our competitors, and device manufacturers will benefit from faster, lower-cost AI-enabled vulnerability identification. That is genuinely good news for the digital forensics ecosystem because, in some cases, it may aid in the ability of our customers to gain lawful access to digital devices, enabling the extraction and decryption of data from those devices. But the step forward Mythos represents in vulnerability discovery is incremental, not exponential.  The security research community has been investing heavily in AI-assisted and ML model-driven vulnerability research for years. Mythos accelerates an existing trajectory; it doesn’t redirect it.

Myth #2: If a model can find vulnerabilities, it can reliably turn them into usable exploits  

Reality: Identifying a vulnerability is not the same as effectively operationalizing it. Some coverage of Mythos’ purported ability to automatically develop exploits after it identifies a vulnerability could be very misleading. Tools that analyze code or perform brute-force fuzzing lack the contextual knowledge of hardware safeguards, surrounding software layers, network infrastructure and the way those layers interact.  This is critical knowledge that determines whether an exploit is viable or useful in practice. The risk here is a surge of false positives that still require expert human triage with full operational context.

Cellebrite’s ability to deliver lawful access is not centered on exploits, but on engineering durable, forensically sound access paths spanning hardware, firmware and applications. We operate at the intersection of hardware, operating systems, and application-level encryption, developing proprietary, hardware-enabled techniques that function across Android, iOS, and encrypted applications. This work is grounded in real investigative conditions and strict evidentiary integrity requirements, not laboratory assumptions. To ensure forensic integrity, device access must be reproducible and performed in a way that does not modify or damage the evidence. That’s at the forefront of Cellebrite’s access solutions and a primary reason why customers have turned the Company’s name into a verb when they “Cellebrite” a device. 

Myth #3: Mythos Disrupts Cellebrite’s Technology 

Reality: Cellebrite is uniquely positioned. The Company has spent decades building something that no AI model replicates: deep expertise at the intersection of hardware and software, forensic integrity standards, legal chain-of-custody requirements, and extensive, hands-on experience in the investigative workflows of law enforcement, defense, and intelligence agencies worldwide. Cellebrite delivers a digital investigation platform where device access, if and when required, leverages capabilities that also are invaluable for reliable extraction and decryption across operating systems, secure hardware, and application encryption domains. As the investigation progresses, Cellebrite’s platform addresses other fundamental elements of the digital investigation lifecycle from secure storage of evidence to sharing and collaboration and AI-powered analysis. The result is faster investigations with outcomes that are both operationally effective and defensible in court. Device access is one part of a much longer and impactful journey – not the end.

Mobile operating systems have and continue to grow rapidly in size and complexity. Android 16 is approximately 150 GB versus 6 GB just over a decade ago. The Common Vulnerabilities and Exposures count has more than tripled from roughly 400 in 2019 to over 1,300 in 2025. Smartphone App Stores have ballooned in size and a new wave of vibe coded applications, often presenting extensive, critical security risks, will add fuel to that growth. Powerful, autonomous vulnerability discovery is becoming necessary simply to maintain the current security equilibrium – not to disrupt it. Cellebrite, as a result of its acquisition of Corellium, is positioned squarely at the forefront of this challenge.

We are already embedded in the AI era. Cellebrite uses AI tools extensively in our research labs and they are actively accelerating the delivery of new access capabilities. The general acceleration in foundation model development that began with Claude 4.6 last year continues to benefit our work, and we will remain aggressive about adopting every tool that gives our customers an advantage.

The market outlook

We believe that AI tools like Mythos accelerate the speed of change in our industry, helping to strike a balance between software complexity and security – but at a higher cost basis that raises barriers to entry in digital forensics. The premium for device access will rise in proportion to the cost of maintaining access. This dynamic reinforces Cellebrite’s leadership position and raises the barrier to entry for new competitors. We’re adapting by increasing our investment in world‑class research talent both at Cellebrite and with like-minded partners, elevating our engineering rigor, and applying AI where it creates real advantage. Smaller vendors will find it increasingly difficult to enter or compete in the digital forensics. 

It is also worth noting that open-source and open-weight models typically catch up to frontier capabilities within 6 to 12 months. At that point, these tools will be available broadly – to responsible actors and otherwise – which is precisely why the investments we are making now in platform depth, AI-powered analytics, and workflow tooling for investigators matter so much.

Reality: Mythos is a meaningful development in AI-assisted cybersecurity research, and we are watching it closely. But it does not represent an existential challenge to Cellebrite. Our platform advantage, decades of hard-won expertise, and continued investment in the best available tools ensure we remain the trusted partner for digital intelligence globally.

Questions from investors, partners, or customers can be directed to investors@cellebrite.com or sales@cellebrite.com.

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