Fixing an AI vulnerability post-deployment can cost 10x more. We integrate 'Security-by-Design' into your dev cycle to prevent expensive remediation
Beyond identifying vulnerabilities, we deploy automated monitoring to detect anomalous model behavior in real-time
The AI threat landscape shifts weekly. We provide continuous security updates and patch strategies to protect against the latest 'Zero-Day' prompt attacks.
CALCULATE YOUR LOST REVENUE
THESE NUMBERS are based on the results we usually see with partners
Demo Version: Estimate exposure based on industry standards
Includes fines, downtime, and reputational damage.
Our onboarding and assessment methodology is designed to be seamless, thorough, and highly collaborative from day one.
We begin with a deep-dive session to understand your AI business goals, technical architecture, and specific regulatory concerns.
This allows us to define the assessment boundaries and customize our red-teaming scripts to your unique environment.
Our experts perform a comprehensive scan of your AI supply chain, identifying model endpoints, vector databases, and API integrations.
We map out data flow pathways to identify potential leak points and unauthorized access vectors before active testing begins.
We execute controlled "Black-Box" and "White-Box" attacks, including prompt injection, model inversion, and membership inference.
This phase simulates real-world threat actors to see how your current defenses hold up against sophisticated manipulation.
We deliver a prioritized risk report with actionable fixes, followed by a collaborative session with your developers.
The process concludes with a verification audit to confirm that all identified high-priority vulnerabilities have been successfully closed.

FROM YOUR CAMPAIGN


Assess your organization's readiness to deploy secure, compliant, and resilient Artificial Intelligence systems.
Are your API keys and model endpoints stored in hardware-backed secrets management systems?
Do you have rate-limiting and request-size filters to prevent Denial of Service (DoS) attacks?
Is your AI environment isolated from core production databases via air-gapping or VPC peering?
Have you implemented automated PII/PHI scrubbing for all training data and live user prompts?
Is user data encrypted in transit and at rest using enterprise-grade AES-256 standards?
Do you have a clear "Right to be Forgotten" mechanism for data used in RAG or fine-tuning?
Have you conducted adversarial testing for prompt injection and "jailbreak" vulnerabilities?
Are automated guardrails in place to detect and block toxic or hallucinated model outputs?
Is there a fallback mechanism to a "safe" model version in case of a live security breach?
Does your AI usage policy align with the NIST AI RMF or the latest EU AI Act requirements?
Do you have a logged audit trail of every interaction between users and your AI models?
Is there a human-in-the-loop (HITL) review process for high-stakes AI-generated decisions?
INdustries we have
seen remarkable success in...










Assess your organization's readiness to deploy secure, compliant, and resilient Artificial Intelligence systems.
Are your API keys and model endpoints stored in hardware-backed secrets management systems?
Do you have rate-limiting and request-size filters to prevent Denial of Service (DoS) attacks?
Is your AI environment isolated from core production databases via air-gapping or VPC peering?
Have you implemented automated PII/PHI scrubbing for all training data and live user prompts?
Is user data encrypted in transit and at rest using enterprise-grade AES-256 standards?
Do you have a clear "Right to be Forgotten" mechanism for data used in RAG or fine-tuning?
Have you conducted adversarial testing for prompt injection and "jailbreak" vulnerabilities?
Are automated guardrails in place to detect and block toxic or hallucinated model outputs?
Is there a fallback mechanism to a "safe" model version in case of a live security breach?
Does your AI usage policy align with the NIST AI RMF or the latest EU AI Act requirements?
Do you have a logged audit trail of every interaction between users and your AI models?
Is there a human-in-the-loop (HITL) review process for high-stakes AI-generated decisions?
Get a professional AI security audit to close your vulnerability gaps.
DON'T BURN YOUR LEADS
Ensure your AI company has the following...
AI that can text - without sounding like a robot.
Get an expert to create AI for you.
Ensuring high conversion rates and setup in under 7 days.
No upfront costs...
Run a 100% free test, and only pay on real results.
AIs ability to respond to multiple messages, when a lead sends two or more messages in a row.
The AIs ability to schedule appointments dynamically in the conversation - and not with a booking link.
Results in higher conversions.
AI's ability to stop responding, when the lead isn't interested anymore.
Custom solutions on robust Azure servers that provides better uptime and end-to-end encryption.
No use of limited no-code automation tools.
The ability to custom code integrations to any calendar/CRM.
Ensuring you don't have to change day-to-day operations.
Start using AI today