Traditional antivirus tools search for known hashes and static malware signatures. Lexci's InMind AI models focus on behavioural telemetry and runtime invariants. By analyzing deviations in memory execution, unexpected child process spawning, and uncharacteristic outbound socket connections, the platform detects and halts zero-day attacks even if the threat has never been documented before.
CYBERSECURITY PLATFORM
Autonomous
Cyber Defense
A self-evolving security ecosystem that continuously inspects, detects, and neutralizes sophisticated cyber threats with sub-millisecond autonomous response.
CORE MODULES
Defense Architecture
Safeguard distributed enterprise digital assets against zero-day exploits, ransomware, and unauthorized network intrusion through autonomous intelligence.
Threat Intelligence
Predictive neural networks continuously ingest telemetry across endpoints, identity layers, and API transactions to intercept polymorphic payloads and emerging attack vectors before vulnerabilities can be exploited.
Zero Trust Architecture
Strict cryptographic verification enforces micro-segmentation across internal microservices. Every user, device, and API request is continuously authenticated under least-privilege access rules to prevent lateral movement.
Cloud Security & CSPM
Real-time posture management across AWS, Azure, Google Cloud, and private Kubernetes clusters. Automated detection flags identity misconfigurations, exposed storage buckets, and unencrypted ingress tunnels.
Automated Incident Containment
Autonomous mitigation engines isolate compromised nodes, revoke temporary cryptographic session tokens, and route traffic to deception honeypots within milliseconds—halting active breaches without manual human triage.
Technical Depth
Engineered for High-Assurance Environments
Modern enterprise threats outpace manual intervention. Our defense infrastructure operates with mathematical precision at machine speed.
Micro-Segmentation Fabric
Perimeter defenses are no longer enough. Lexci encapsulates each microservice within an isolated software-defined perimeter, cryptographically signing inter-service communication via mutual TLS (mTLS).
Sub-Millisecond Heuristics
Lightweight eBPF kernel agents inspect packet headers and system calls with microscopic compute overhead (<0.5% CPU), identifying anomaly signatures without injecting network latency.
Compliance & Audit Readiness
Immutable append-only audit ledgers log all privilege escalations and policy changes, producing instant compliance validation reports for ISO/IEC 27001, SOC 2 Type II, and India's DPDP Act.
Platform FAQ
Cybersecurity Architecture Questions
Answers to essential technical questions about our threat intelligence pipeline, runtime performance impact, and integration methods.
How does Lexci intercept zero-day vulnerabilities without signature files?
What overhead or network latency does the Lexci security agent introduce?
Our sensor architecture is built on Linux eBPF (Extended Berkeley Packet Filter) technology, executing directly within kernel space without context switching to user space. This ensures non-blocking packet inspection with less than 0.5% CPU utilization and sub-millisecond routing latency, making it ideal for high-throughput fintech and SaaS applications.
How does Lexci integrate with existing SIEM, SOAR, and SOC platforms?
Lexci provides bi-directional API integrations, native Splunk/Datadog forwarders, and real-time webhook streams. When a critical threat is mitigated, structured JSON alerts containing full forensic timeline replays are automatically pushed to your security operations center (SOC) or incident management software.
• Fully integrated with AI Cloud• Secure AI Infrastructure• Real-time Threat Analysis• Zero-Trust Architecture• Fully integrated with AI Cloud• Secure AI Infrastructure• Real-time Threat Analysis• Zero-Trust Architecture