NeuralNexus AC-COS is an AI-driven cybersecurity orchestration platform that detects, predicts, and responds to threats in under 5 minutes — with 83.7% zero-day coverage and a 14.8% false positive rate.
Platform Capabilities
AC-COS is not another point product. It's an orchestration layer that makes your entire security stack collectively intelligent.
Every security event is encoded as a 384-dim BERT embedding capturing identity, behavior, topology, threat intel, and 9 more dimensions simultaneously.
Sequence neural networks analyze temporal event patterns to predict attack stages 30% earlier than any rule-based SIEM.
Automated playbooks isolate endpoints, block IPs, revoke credentials, and snapshot VMs — no human required for high-confidence threats.
Honeytokens, honeypots, and honeyfiles lure attackers into revealing themselves. Every deception hit is a confirmed threat — zero false positives.
Zero-knowledge proofs enable anonymous threat intelligence sharing across organizations — collective defense without exposing private data.
Every analyst verdict trains the system. Detection thresholds auto-tune per asset, continuously reducing false positives over time.
CRYSTALS-Kyber-768 key encapsulation and Dilithium signatures protect your data against both classical and quantum adversaries.
SHA-256 hash-chained audit logs with automated ISO 27001, GDPR, and DPDP compliance reporting. Tamper-evident by design.
Validated Performance
Benchmarked on the CIC-IDS2017 dataset against Splunk Enterprise Security as baseline.
The Intelligence Loop
A continuous 6-step pipeline that gets smarter with every incident.
Auto-discover endpoints, users, and services via SNMP, Active Directory, and cloud APIs in minutes.
Every event is encoded into a 384-dim BERT embedding across 13 organizational dimensions.
FAISS cosine similarity against per-asset baselines flags deviations in under 22ms.
LSTM sequence model maps the event chain to MITRE ATT&CK tactics — 30% earlier than SIEMs.
Playbooks fire automatically — isolate, block, revoke, snapshot, notify — in under 5 minutes.
Analyst feedback trains the RL loop. Thresholds self-tune. The system gets smarter every day.
Competitive Analysis
| Feature | NeuralNexus | Splunk ES | Darktrace | CrowdStrike |
|---|---|---|---|---|
| Context dimensions | 13 | 1–3 | 3–5 | 2–4 |
| False positive rate | 14.8% | 60–80% | 30–50% | 25–40% |
| Automated response | ✓ Built-in | Via SOAR (separate) | Limited | Limited |
| Zero-day detection | 83.7% | 20–30% | 40–60% | 35–55% |
| Federated learning | ✓ ZKP-based | ✗ | ✗ | ✗ |
| Deception tech | ✓ Integrated | ✗ | ✗ | ✗ |
| Compliance reporting | ✓ Automated | Manual | ✗ | ✗ |
| Annual cost / 1K endpoints | ₹2L | ₹10L+ | ₹8L+ | ₹6L+ |
| Deployment time | 1–2 weeks | 6–12 months | 3–6 months | 2–4 months |
Architecture
React 19 frontend with real-time SSE threat feeds, command palette, and full SOC workflow — deployed on Vercel global CDN.
FastAPI microservice running BERT embeddings, FAISS similarity search, and LSTM attack prediction on a dedicated VPS.
24-table schema with pgvector extension for native vector similarity queries, Qdrant for persistent vector storage.
Get in Touch
Have questions about deployment, pricing, or a demo? Reach out directly.
Deploy NeuralNexus in 1–2 weeks. No security expertise required. Real-time threat detection from Day 1.