Facing a Cyber Threat?
AI Component Security
Ensures every layer of your AI infrastructure is resilient against manipulation, leakage, and unauthorized use.
As AI becomes a cornerstone of digital transformation, organizations rely on a diverse ecosystem of AI components. These components can become attack vectors if not properly secured. Cyber Shakthi specializes in AI Component Security Testing, ensuring every layer of your AI infrastructure is resilient against manipulation, leakage, and unauthorized use.
What Are AI Components?
We secure AI components across the entire AI lifecycle, including: Pretrained or Fine-tuned Models, Training Data Sets & Data Lakes, ML Frameworks (TensorFlow, PyTorch, etc.), Model Serving APIs & Endpoints, Inference Engines (ONNX, Triton, etc.), Automation Pipelines (MLflow, Airflow, etc.), Model Marketplaces / HuggingFace Integrations.
Common Security Risks
- Model Inversion & Extraction
- Adversarial Examples
- Dependency & Supply Chain Vulnerabilities
- Unprotected Endpoints & APIs
- Poisoned Training Data
Attackers reconstruct training data or steal proprietary models using black-box API calls.
Subtle manipulations to input data fool the model into incorrect outputs—critical in AI used for vision, security, or healthcare.
Third-party libraries used for training or inference may contain exploitable code.
Model-serving APIs without proper auth or throttling can be abused, overloaded, or accessed for malicious use.
Data pipelines compromised to introduce bias, backdoors, or security flaws into model behaviour.
Our AI Security Testing Methodology
Static & Dynamic Security Analysis
Code reviews for pipelines, model logic, and framework configs, endpoint scanning for unauthorized access or data leaks.
Attack Simulation
Adversarial testing (FGSM, PGD, DeepFool), model extraction and fingerprinting tests, inference manipulation and API fuzzing, data poisoning simulations.
Pipeline Security
CI/CD & MLflow review, storage access validation (S3, GCS, etc.), access control, and logging audits.