Protecting the World's Most
Critical Digital Assets
Founded by security researchers and distributed systems engineers, CipherMind is dedicated to ending data breaches through autonomous threat defense.
Why We Built CipherMind
Modern cloud infrastructures generate billions of telemetry events each day. Human security operations teams cannot triage thousands of alerts before an adversary achieves lateral traversal.
We created CipherMind to shift the advantage back to defenders. By pairing ultra-lightweight eBPF kernel instrumentation with autonomous agent swarms, we enable organizations to neutralize zero-day exploits and ransomware in milliseconds.
Our Core Principles
Clarity Over Complexity
Cybersecurity has too much jargon and security theater. We build interfaces and autonomous workflows that provide unclouded visibility and direct containment.
Deterministic Heuristics
We prioritize deterministic, explainable AI decisions over opaque probabilistic guesses. When our agents take action, you know the exact reason why.
Sub-Second Containment
In modern attacks, adversary dwell time is measured in seconds. Our defense systems operate at machine velocity rather than waiting on human paging queues.
Leadership & Research Fellows
Dr. Elena Vance
Former Lead Security Architect at DARPA; PhD in Distributed Heuristics from Stanford.
Marcus Sterling
Ex-kernel security engineer at a leading vulnerability research lab; author of leading eBPF security frameworks.
Siddharth Rao
12+ years pioneering autonomous anomaly detection and adversarial machine learning defenses.
Aria Lindqvist
Previously led threat response operations at a global edge network and managed incident command for Tier-1 banks.
Help Us Engineer the Future of Cybersecurity
We are actively looking for eBPF systems programmers, adversary emulation specialists, and distributed systems architects.