Agentic Runtime Security for
Distributed AI Workloads
Deploy autonomous, line-rate protection across GPU clusters, edge nodes, and sovereign clouds. Neutralize zero-day exploits, model tampering, and data exfiltration with sub-millisecond latency.
Trusted by Innovators, Chosen by Leaders.
Container-Native AI Agents.
Runtime Security for Your Workloads.
A single container deploys a full NDR + EDR + Vulnerability Management stack directly onto your edge hosts. All AI/ML inference runs locally — < 1ms detection latency, zero cloud dependency for runtime decisions. Supports x86-64 and ARM-64 across Docker, Kubernetes, OpenShift, and edge orchestration platforms.
LLM Runtime Security Architecture
Comprehensive defense-in-depth specifically engineered to protect GenAI deployments, Large Language Models, and RAG pipelines against emerging adversarial vectors.
Prompt Injection & Jailbreak Detection
Dynamically analyzes inbound user prompts before they reach the model. Identifies and blocks adversarial payloads, system prompt extraction attempts, and role-play jailbreaks using a localized semantic classification engine.
- Semantic intent analysis
- Base64 and encoding obfuscation detection
Model DoS & Resource Exhaustion Protection
Defends against targeted attacks designed to exhaust GPU VRAM or compute cycles. Implements context-aware rate limiting and scrubs infinitely recursive payloads before they overload your inference infrastructure.
- Token-aware rate limiting
- Asymmetric load mitigation
Data Exfiltration & Privacy Guardrails
Continuous monitoring of outbound model responses. Automatically redacts or blocks outputs containing proprietary training data, hardcoded secrets, API keys, or PII to ensure compliance.
- Regex and ML-based PII scrubbing
- RAG context boundary enforcement
Model Integrity & Provenance
Ensures the mathematical integrity of your deployed models. Cryptographically verifies model weights at load time and continuously monitors for unauthorized filesystem changes or memory space tampering.
- Weight file checksum verification
- Unauthorized memory injection blocking
Out-of-the-box CRA/NIS2 mapping with unified risk scoring, host-level checks, and instant coverage visibility.
Unified risk scoring, host-level checks, and instant coverage visibility for compliance.
Kubernetes & Container Security
Full-stack Kubernetes security from image scanning to runtime syscall monitoring.
View Compliance MatrixHost Platform Security
Comprehensive host-level security monitoring and threat detection.
Network Security
Advanced network threat prevention and traffic analysis.
Vulnerability Management
Continuous vulnerability scanning and risk assessment.
Future-Proof Your Enterprise with Innovative Agentic AI Cybersecurity
Unprecedented
Operational Efficiency
Automation of security processes, reducing the need for manual intervention and allowing security teams to focus on more strategic tasks.
Real-Time Monitoring & Response
Providing continuous monitoring of networks and systems, ensuring that threats are identified and mitigated promptly.
Significantly Reduced Downtime
By preventing cyber-attacks and quickly responding to incidents, AI EdgeLabs minimizes downtime and maintains business continuity.
Data-Driven Insights
AI EdgeLabs utilizes AI and machine learning to provide actionable insights based on data analysis, helping organizations make informed decisions.
Compliance
Helping businesses meet regulatory requirements for HIPAA, NIS2, CRA, ISO/IEC 62443, PCI DSS, FedRAMP and NIST frameworks, by ensuring data protection and security measures are in place.
Cost Reduction
By preventing security incidents and reducing the need for manual monitoring, AI EdgeLabs helps organizations save on operational costs. No data tax, no traffic overheads.
Staying Ahead Together
Why NIS2 & CRA Change the Game for Edge & AI Security
2 Dec 2025 Read More → ArticleHow to Prepare for CRA Today
27 Nov 2025 Read More → ArticleTOP-10 Linux Vulnerabilities in 2024
11 Dec 2024 Read More → ArticleIntegrating AI EdgeLabs with AWS Greengrass for Enhanced Edge Security
6 Nov 2024 Read More → ArticleSecuring Distributed Edge Infrastructures: Next-Gen Solutions for Emerging Threats
19 Aug 2024 Read More → ArticleEbury Malware: A Hidden Threat to Linux Servers and How AI EdgeLabs Can Protect You
31 Jul 2024 Read More →See Your Risks Before Attackers Do.
Meet with our experts and experience how AI-native runtime security defends your workloads instantly and autonomously.