AI Security

🤖Fortify Your AI Systems Against Adversarial Attacks and Model Theft

AI is transforming industries—but it’s also introducing new attack surfaces. From machine learning models to training pipelines and inference APIs, attackers are finding ways to exploit the intelligence that powers modern systems. At WireTor, we specialize in AI Security Testing to help organizations deploy intelligent systems with confidence and resilience.

⚠️ Why AI Security Matters

  • 🧠 AI models are vulnerable to adversarial attacks, poisoning, evasion, and extraction.
  • 📊 80% of enterprises adopting AI have experienced security incidents related to their ML systems (Gartner).
  • 🔓 Unprotected models can leak sensitive data, make biased or manipulated decisions, or be cloned entirely.

As AI adoption grows, so does the risk and WireTor is here to help you defend against it.

🧪 What We Test in AI Systems

WireTor’s AI security testing spans the entire ML lifecycle:

1. Model-Level Testing
  • 🧬 Adversarial Input Attacks (e.g., FGSM, DeepFool, Carlini-Wagner)
  • 🔁 Model Inversion & Membership Inference Attacks
  • 💥 Evasion techniques that trick the model into false predictions
  • 👁️‍🗨️ Explainability checks (SHAP, LIME) to understand model bias and flaws

2. Data Pipeline Security
  • 🧫 Data poisoning — subtle manipulations in training data that cause skewed models
  • 🔁 Supply chain attacks during dataset ingestion or model updates
  • 🧼 Validation of data pre-processing, sanitization, and labeling processes

3. Inference API & Deployment Testing
  • 🧠 Black-box model extraction (stealing IP via API probing)
  • 🔓 Endpoint authentication & rate limiting
  • 🧾 Audit logging & data leakage prevention

4. Compliance & Ethics Review
  • Bias & fairness assessment
  • Model explainability and interpretability
  • Data privacy impact, aligned with GDPR, HIPAA, and ISO/IEC 23894 (AI Risk Management)

🔍 AI Security Use Cases We Cover

  • Generative AI (LLMs, image/video models)
  • Predictive analytics (fraud, health, finance)
  • Recommendation engines
  • AI-driven IoT and robotics
  • Voice, face, or biometric authentication models
  • Custom deep learning solutions

If your organization is using machine learning, deep learning, or AI APIs, your attack surface is larger than you think.

🛡️ What You Get with WireTor’s AI Security

  • 🎯 Threat model specific to your AI architecture
  • 🧑‍💻 Manual & automated model testing
  • 🔁 Secure model update procedures
  • 📊 Executive-ready risk summaries
  • 🛠️ Developer-level remediation guidance
  • 🔐 NDA-protected, ethical engagements only

🧠 AI-Specific Risks We Help You Prevent

  • 📥 Data leakage from training sets
  • 🕵️‍♂️ Reverse-engineering model logic or architecture
  • 🤖 LLM prompt injection or hallucination exploits
  • 🧑‍⚖️ Legal exposure due to biased or unexplainable decisions
  • 🗣️ Voice cloning or biometric impersonation attacks

🧩 Who Needs AI Security Testing?

Our services are ideal for:

  • AI startups preparing for scale or funding
  • Enterprises integrating AI into legacy apps
  • Fintech, healthtech, and legaltech AI solutions
  • Companies building or deploying LLMs
  • Government and defense AI platforms
  • Organizations subject to AI regulations or industry audits

🧰 Tools & Frameworks We Use

  • CleverHans, Foolbox, Adversarial Robustness Toolbox (ART)
  • IBM AI Fairness 360, Fairlearn
  • OpenAI red-teaming practices
  • PySyft, TensorFlow Privacy, TF Security
  • WireTor’s custom attack modules for black-box & white-box AI testing

📈 AI Security is Not Optional — It’s Inevitable

The smarter your systems get, the smarter the attackers become. WireTor ensures your AI doesn’t become your organization’s weakest link. We combine AI domain expertise with cybersecurity rigor to give you peace of mind before, during, and after deployment.

📧 [email protected]
📱 +1-332-267-8457
🌐 www.wiretor.com

👉 Book a Free AI Security Consultation Today and stay ahead in the age of intelligent threats.