Causal Security is an AI security research firm.
We build advanced systems for deep, context-aware security assessment across the stack, reasoning about real exploitable risk at the rate modern software is written.
the approach
Scattered knowledge becomes one security brain.
Fragments from your tools, tickets, code, and prior findings connect into a model that reasons across the whole stack, not one diff at a time.
our first flagship product
Cipher: an AI security engineer.
Cipher combines design review, threat modeling, code understanding, and live validation to find real, exploitable risk. It understands how your systems are built, how they are exposed, what controls exist, what failed before, and where attackers can chain weaknesses next.
Detection is only the start. It ranks by exploitability, maps blast radius, identifies root cause, finds variants, and gives remediation teams enough context to fix confidently.
Read the full thesis →As attackers, defenders, and AI researchers, we know what matters, what's noise, and how to prove it.
where this goes
One brain. Every surface.
Cipher is the first product, not the last. We're extending the same reasoning to the surfaces modern systems actually run on, and to the industries that depend on them. The surfaces in scope:
- Web apps
- APIs
- Cloud & IaC
- Kubernetes clusters
- Identity & Active Directory
- AI / LLM applications
- Network & infrastructure
- Open-source & embedded
- Secrets & sensitive data
- Mobile applications
- OT / SCADA
- Memory safety
One repo. One target. One unattended review. Exploitable findings.
No slides, no sales pitch. You talk to a researcher who does this work. Point us at a system you own, even your hardest environment, and we hand back validated, exploitable findings, each one proven. If there's nothing worth your time, you'll know that too. Either way, you know where you stand.