Your AI models are learning. So are the attackers targeting them.
Shadow AI, data poisoning, prompt injection, malicious models — the threats targeting your AI pipeline are real, active, and invisible to traditional security tools. WizAgents finds them first.
Traditional cybersecurity can't see inside your AI pipeline.
Attackers already can.
Firewalls don't catch data poisoning. Antivirus can't detect a backdoor model. And your SIEM has no idea what a prompt injection looks like. AI introduces attack vectors that exist nowhere else — and every team adopting AI without a security strategy is widening the gap.
Speed of adoption doesn't wait for security teams to catch up. Developers deploy models, data scientists spin up pipelines, and employees quietly use AI tools nobody approved — all creating shadow AI that's invisible, unaudited, and unsecured. That's not a hypothetical. That's your organization right now.
This isn't theoretical anymore. Adversarial attacks, prompt injection, model theft, and data exfiltration are live threats hitting AI-powered businesses today. Your security posture needs to be built for the AI era — not borrowed from the last one.
Every layer of your AI stack secured — from training data to live deployment.
Most security tools were built before AI existed. We weren't. Every service we offer is designed specifically around how AI systems are built, deployed, and attacked — so nothing falls through the gaps.
AI Security Audit & Posture Assessment
A full review of your AI pipeline — models, APIs, data stores, permissions, and configurations — with a prioritized risk report your team can actually act on.
AI Bill of Materials (AI-BOM)
See every model, SDK, library, and dataset in your AI stack — including the ones nobody approved. Shadow AI can't hide from a full inventory.
Attack Path Analysis
We map exactly how an attacker moves through your AI environment — from first access to model manipulation or data breach — so you can close the path before it's used.
Data Security Posture Management (DSPM)
Scan your AI training data for exposed sensitive information, open write access, and misconfigured cloud storage before it becomes a breach headline.
Malicious Model Detection
Identify backdoor models, Pickle-based exploits, and suspicious outbound activity before a tampered model gets loaded into your production stack.
AI Governance & Compliance Readiness
Build an AI usage policy that enables innovation without inviting risk. We align your posture to EU AI Act, GDPR, HIPAA, SOC 2, NIST AI RMF, and more.
Not sure what's hiding in your AI stack?
Book a free AI Security Strategy Call and we'll tell you exactly what we find — shadow AI, misconfigurations, attack paths, and all.
No guesswork. No generic frameworks. A process built around how AI actually gets attacked.
Discover
We find every model, pipeline, SDK, and dataset in your environment — including shadow AI your team doesn't know about.
Assess
We audit your full AI posture — configurations, permissions, data exposure, attack paths — and rank risks by real-world impact.
Secure
We embed security controls directly into your AI pipeline — governance policies, DSPM, threat detection, and compliance guardrails.
Monitor
Continuous monitoring across cloud providers — AWS Bedrock, Azure AI, Google Vertex, OpenAI — with agentless detection that keeps pace with AI innovation.
Six AI-specific risks that most security teams aren't equipped to catch yet.
These aren't edge cases. They're active threats documented by OWASP, MITRE ATLAS, and confirmed in real-world breaches — hitting organizations that thought their existing tools had it covered.
Data poisoning & model manipulation
An attacker who taints your training data doesn't need to breach your system — they just need your AI to produce the wrong answers at the right moment.
Prompt injection attacks
Malicious inputs that hijack your AI's behavior are the #1 risk on the OWASP LLM Top 10 — and most LLM-based systems have no defense in place.
Shadow AI & ungoverned usage
Developers, data scientists, and employees are deploying AI tools your security team can't see. Every unsanctioned model is an unsecured attack surface.
Data exfiltration via AI pipelines
Sensitive business and customer data flowing through AI pipelines is a high-value target — and often the least protected part of your infrastructure.
Malicious & backdoor models
Open-source models from platforms like Hugging Face have been confirmed to contain malicious code. Without scanning, you're trusting models you can't verify.
Regulatory non-compliance
The EU AI Act is law. GDPR applies to AI. HIPAA, SOC 2, and NIST AI RMF have AI implications. Non-compliance isn't an edge case anymore — it's a liability.
Don't find out about your AI security gaps from an attacker.
Book a free AI Security Strategy Call. We'll review your current posture, identify your highest-priority risks, and give you a clear roadmap — no sales pitch, no obligation. Just clarity on where you stand and what to fix first.