
Vanta
NeuralTrust.ai
Darktrace
No Prompt Injections
Our platform provides AI-specific threat detection and prevention that monitors AI systems in real-time to identify and block adversarial attacks - subtle input manipulations designed to deceive AI models and cause critical failures,

StatCounter
Histats
Darktrace
AFSAnalytics
Zoom
Matomo
Woopra
Cisco is the worldwide leader in IT, networking, and cybersecurity solutions. We help companies of all sizes transform how people connect, communicate, and collaborate.
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Based on our record, Cisco seems to be more popular. It has been mentioned 40 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | ciphergenix.vercel.app | cisco.com |
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| Company | Startup from South Africa · 1 - 9 employees · 2025 | — |
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In their own words, as submitted to SaaSHub.


Core Security Engine: Our platform provides AI-specific threat detection and prevention that monitors AI systems in real-time to identify and block adversarial attacks - subtle input manipulations designed to deceive AI models and cause critical failures. Unlike traditional cybersecurity that...
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As answered by people managing CipherGenix and Cisco.
CipherGenix's answer
Organizations rely on traditional cybersecurity tools that weren't designed for AI-specific threats, leaving massive security gaps as AI adoption accelerates across industries. CipherGenix delivers end-to-end AI security through our comprehensive platform: Robust Encryption & Data Protection - Safeguards sensitive AI training data and models Real-Time Threat Monitoring - Detects AI-specific attacks as they emerge Proactive Risk Detection - Prevents adversarial attacks, data poisoning, and model theft before they occur
CipherGenix's answer
Historical evolution: Traditional cybersecurity focused on networks and applications, but AI introduces entirely new attack vectors that didn't exist before.CipherGenix provides comprehensive cybersecurity solutions designed exclusively for AI systems, protecting organizations from adversarial attacks, data poisoning, and model theft throughout the entire AI lifecycle.
CipherGenix's answer
AI startups (2,500+ companies), mid-sized AI companies (500+ companies), large enterprises with AI initiatives (Fortune 1000) and Research Labs.
CipherGenix's answer
nixProtect was born out of a simple yet urgent insight: as AI powers more mission‑critical systems, the tools to safeguard those systems hadn’t kept pace. Our founders—one a cybersecurity specialist wrestling with advanced threats in research labs, the other a non‑technical entrepreneur driven by a passion for innovation—saw too many organizations invest millions in AI models only to leave them exposed to data poisoning, model theft, and runaway behaviors. Inspired by breakthroughs in homomorphic encryption and memory‑augmented neural networks, they sketched out a unified platform that would encrypt models in use, monitor for anomalous activity in real time, and ensure AI systems obey human directives without fail. What started as a late‑night whiteboarding session evolved into EnixProtect: the world’s first AI‑native security suite, engineered to give businesses the confidence to deploy powerful AI without fear of compromise.
CipherGenix's answer
Our EnixProtect platform is built on a modern, scalable stack that unites front‑end responsiveness, back‑end performance, and advanced AI/ML capabilities. On the client side we use React with TypeScript and Tailwind CSS to deliver a fast, intuitive dashboard for monitoring and managing AI security. The server layer is powered by Python’s FastAPI framework, handling asynchronous requests and real‑time threat analysis, while PostgreSQL (via Supabase) stores encrypted logs and metadata. Background processing relies on Celery with Redis to queue and execute intensive tasks such as model scans and anomaly detection. For our AI components, we leverage PyTorch for custom adversarial‑detection models and TensorFlow Privacy to support privacy‑preserving workflows, and we integrate homomorphic‑encryption libraries (e.g., PySEAL) to keep models and data encrypted in use. Data pipelines are orchestrated with Apache Kafka, and deployment runs on AWS using serverless functions (Lambda), container orchestration (ECS/EKS), and S3 for secure storage. Infrastructure is defined as code in Terraform, with Docker for consistent environments, HashiCorp Vault for secrets management, and Prometheus/Grafana for metrics and alerting—ensuring EnixProtect remains robust, secure, and ready to protect AI workloads at enterprise scale.
CipherGenix's answer
Lux AI (onboarding as a pilot partner) [More customers to be announced post-launch – currently in early-stage discussions with several startups and research labs]
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Recommendations tracked on public social media and blogs since March 2021.


Tracking CipherGenix since Jun 2025.
Create a netacad account on cisco.com. Download the packet tracer software. Set up some scenarios with all the routers, switches, APs and computers inside the packet tracer. Easy, peasey, japanese. All the physical hardware is just... Source: almost 3 years ago
The other way is using a token, you gain by converting a PAK in CSSM, I think you can add device and then use PAK to get a token you install on device. The smart account is free to setup and you dont need any special status to have one,... Source: about 3 years ago
Since Friday, I have been noticing my Edge browser crashes...More noticeable is when I started to share my browser in webex meeting OR simply browse on cisco.com... Source: over 3 years ago
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