To ensure the robustness, dependability, and credibility of AI systems in real-world situations, adversarial attacks are simulated in order to find vulnerabilities, assess the systems' resistance to threats, and verify the efficacy of security controls.
An analysis of an AI system to identify weaknesses, verify security controls, and ensure compliance with organizational and legal requirements, while focusing on the explainability and transparency of the AI model.
The ongoing monitoring of an AI system's activities, inputs, outputs, and behaviors in order to guarantee performance, spot irregularities, spot security risks, and uphold policy compliance. It facilitates accountability, transparency, and quick incident response.
To ensure the robustness, dependability, and credibility of AI systems in real-world situations, adversarial attacks are simulated in order to find vulnerabilities, assess the systems' resistance to threats, and verify the efficacy of security controls.
An analysis of an AI system to identify weaknesses, verify security controls, and ensure compliance with organizational and legal requirements, while focusing on the explainability and transparency of the AI model.
The ongoing monitoring of an AI system's activities, inputs, outputs, and behaviors in order to guarantee performance, spot irregularities, spot security risks, and uphold policy compliance. It facilitates accountability, transparency, and quick incident response.
AI Security
With 71% of telecom leaders reporting vulnerability in AI systems, threats to self-optimizing networks (SONs), chatbots, and predictive tools are escalating. We secure telecom AI by detecting tampering in SONs, safeguarding user data in customer-facing AI systems, and implementing privacy-preserving mechanisms across predictive maintenance and churn modeling platforms.
AI systems in banking are under growing threat, with over 50% of financial institutions reporting exposure to AI-specific attacks like model theft and data poisoning. We harden AI models against these threats, secure loan underwriting pipelines, and deploy adversarial testing to protect financial AI workflows from manipulation and intellectual property theft.
Over 45% of cyberattacks on oil and gas firms targeted AI systems embedded in exploration analytics and predictive maintenance. We secure industrial AI by protecting sensor-driven environments, applying edge-level anomaly detection, and enforcing strict access control over mission-critical data used in operational decision-making.
AI Security
With 71% of telecom leaders reporting vulnerability in AI systems, threats to self-optimizing networks (SONs), chatbots, and predictive tools are escalating. We secure telecom AI by detecting tampering in SONs, safeguarding user data in customer-facing AI systems, and implementing privacy-preserving mechanisms across predictive maintenance and churn modeling platforms.
AI systems in banking are under growing threat, with over 50% of financial institutions reporting exposure to AI-specific attacks like model theft and data poisoning. We harden AI models against these threats, secure loan underwriting pipelines, and deploy adversarial testing to protect financial AI workflows from manipulation and intellectual property theft.
Over 45% of cyberattacks on oil and gas firms targeted AI systems embedded in exploration analytics and predictive maintenance. We secure industrial AI by protecting sensor-driven environments, applying edge-level anomaly detection, and enforcing strict access control over mission-critical data used in operational decision-making.
Applications of AI security that protect sensitive data and prevent adversarial attacks.
Our AI SOC detected a malicious prompt injection attempt in a production-level Large Language Model (LLM) environment. The attack aimed to exfiltrate sensitive customer data through prompt manipulation. Early detection via our AI-aware threat monitoring engine enabled immediate containment, preventing data leakage and triggering adaptive guardrails for future attempts.
of enterprises reported revenue increases following AI adoption.
of businesses report cost savings from AI automation.
of companies report improved customer satisfaction through AI in customer service.
AI Security Services Onboarding
We begin by engaging with your AI/ML teams to understand the purpose, design, and data flow of your models. This includes inventorying your training datasets, inference APIs, endpoints, and deployment environments. We also observe model behaviors and interaction patterns to baseline performance and detect potential exposure points. The outcome of this phase is a clear picture of your AI ecosystem, threat surface, and architectural context.
Next, we evaluate the security posture of your AI systems across multiple dimensions. This includes reviewing access control, prompt handling, API security, data sensitivity, and cloud configurations. Our AI Red Team then performs targeted adversarial testing, including prompt injections, hallucination attacks, RAG poisoning, and model leakage simulations, to uncover real-world exploitable weaknesses. This step ensures a clear understanding of model vulnerabilities and risk exposure.
We implement AI-specific security controls to protect your models and data pipelines. These include input sanitization, output filtering, model access restrictions, runtime guardrails, and gateway protections. For cloud-hosted or containerized deployments, we secure the full MLOps pipeline, environment variables, and API layers. Data privacy is enforced through PII/PHI redaction, encryption, and policy-driven governance to ensure your AI systems operate safely and within regulatory bounds.
Finally, we help you establish continuous monitoring, compliance tracking, and audit readiness. This includes maintaining logs, model cards, bias reports, and explainability documentation to support frameworks like ISO 42001, NIST AI RMF, and emerging AI regulations. We manage AI risk profiles over time, reviewing changes from model retraining, fine-tuning, or new plugin integrations. The result is an AI system that remains transparent, ethical, and compliant
AI Security Services Onboarding
We begin by engaging with your AI/ML teams to understand the purpose, design, and data flow of your models. This includes inventorying your training datasets, inference APIs, endpoints, and deployment environments. We also observe model behaviors and interaction patterns to baseline performance and detect potential exposure points. The outcome of this phase is a clear picture of your AI ecosystem, threat surface, and architectural context.
Next, we evaluate the security posture of your AI systems across multiple dimensions. This includes reviewing access control, prompt handling, API security, data sensitivity, and cloud configurations. Our AI Red Team then performs targeted adversarial testing, including prompt injections, hallucination attacks, RAG poisoning, and model leakage simulations, to uncover real-world exploitable weaknesses. This step ensures a clear understanding of model vulnerabilities and risk exposure.
We implement AI-specific security controls to protect your models and data pipelines. These include input sanitization, output filtering, model access restrictions, runtime guardrails, and gateway protections. For cloud-hosted or containerized deployments, we secure the full MLOps pipeline, environment variables, and API layers. Data privacy is enforced through PII/PHI redaction, encryption, and policy-driven governance to ensure your AI systems operate safely and within regulatory bounds.
Finally, we help you establish continuous monitoring, compliance tracking, and audit readiness. This includes maintaining logs, model cards, bias reports, and explainability documentation to support frameworks like ISO 42001, NIST AI RMF, and emerging AI regulations. We manage AI risk profiles over time, reviewing changes from model retraining, fine-tuning, or new plugin integrations. The result is an AI system that remains transparent, ethical, and compliant
We deliver tailored engagement models to meet specific business needs.
We anticipate and address potential issues to ensure projects stay on track.
Our teams comprise of internationally certified engineers, dedicated to your success.
We only recommend the most effective technology stack to meet your goals.
Our leaders are actively involved in projects, providing top level expertise throughout.
We offer comprehensive digital transformation services tailored to your needs.
We deliver tailored engagement models to meet specific business needs.
We anticipate and address potential issues to ensure projects stay on track.
Our teams comprise of internationally certified engineers, dedicated to your success.
We only recommend the most effective technology stack to meet your goals.
Our leaders are actively involved in projects, providing top level expertise throughout.
We offer comprehensive digital transformation services tailored to your needs.
Flexible staffing solutions to quickly scale your team with pre-vetted, high-performance IT professionals.
Collaborative partnerships that address AI-specific risks, embedding security, compliance, and resilienceinto every stage of the AI lifecycle.
End-to-end digital transformation services that convert your strategic vision into measurable technological outcomes.
Comprehensive upskilling programs designed to elevate your workforce's technological capabilities and competitive edge.