AI Security Services

Harness AI’s potential while protecting your systems, data, and users with secure, compliant AI solutions.

Embrace AI With Confidence

We help businesses identify and reduce AI security risks across new and existing AI deployments. Our AI security services are tailored to your systems and risk profile, helping identify vulnerabilities and strengthen protection throughout the AI lifecycle.

Why Enterprises Choose Suraket for AI Security

Security-Focused Operations

Protect AI systems with security practices covering digital, information, and operational risks.

AI Security Expertise

Identify and address security risks across AI adoption, deployment, integration, and ongoing operations.

Governance-First Approach

Build clear risk profiles and governance frameworks tailored to your AI implementations.

Regulated Industry Experience

Apply security practices informed by the needs and requirements of highly regulated industries.

Cloud Security Expertise

Secure AI deployments across major cloud environments with strong governance and data architecture.

Performance Optimization

Ensure AI systems remain secure, scalable, reliable, and capable of adapting to changing requirements.

Our AI Security Services

AI Risk Assessment

Identify AI risks and prioritize clear remediation strategies for stronger security decisions.

Agentic AI Security

Protect AI agents from manipulation while improving consistency and resilience across systems.

Model Security & Hardening

Strengthen models against attacks, unpredictable behavior, and sensitive data leakage.

Secure Model Fine-Tuning

Protect proprietary data and maintain model integrity through secure, auditable fine-tuning.

AI Development Security

Embed security, DevSecOps, governance, and scalability throughout the AI development lifecycle.

Data Security

Protect AI data from poisoning, privacy leaks, unintended retention, and unauthorized access.

AI Infrastructure Security

Secure AI infrastructure with zero-trust principles, access controls, and stronger protection.

Third-Party AI Risk

Manage vendor, dependency, and supply-chain risks across third-party AI systems.

Secure AI Deployment

Move AI solutions into production securely while protecting integrations and expanding attack surfaces.

AI Governance & Compliance

Build governance frameworks that support compliance, risk reduction, and responsible AI adoption.

Adversarial Attack Simulation

Identify AI attack vectors and vulnerabilities through targeted security testing and red teaming.

Threat & Drift Monitoring

Monitor AI performance, model drift, and threats to maintain secure operational continuity.

Our impact in numbers

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Understanding AI security vulnerabilities

Model Behavior & Output Control

Prompt Injection: Manipulate AI behavior by embedding malicious instructions into prompts or input sources.

Jailbreaking: Bypass AI safeguards to generate restricted outputs or perform prevented actions.

IP Infringement: Prevent AI systems from using protected data in ways that create legal or compliance risks.

IP Theft: Protect proprietary information from being extracted or replicated through AI models.

Model Drift: Monitor changes between operational and training data that can reduce model performance.

Hallucinations: Reduce incorrect AI outputs that may lead to poor decisions or harmful automated actions.

Data Poisoning: Manipulate training data to produce incorrect results and undermine model reliability.

Training Data Exposure: Protect private information from being ingested or reproduced through insufficient data controls.

Insecure Data: Secure external data sources and pipelines to prevent vulnerabilities from affecting AI outputs.

Compliance Risks: Reduce data leakage, broken lineage, and privacy risks through proper handling and governance.

Unsafe AI Use: Prevent incorrect AI outputs or actions that could create risks for users and systems.

Inappropriate Access Control: Strengthen identity and access controls to prevent unauthorized model changes or misuse.

AI-Accelerated Attacks: Protect against AI-powered threats such as deepfakes, malicious prompts, and automated attacks.

Insecure Output Handling: Validate and sanitize AI outputs to prevent downstream vulnerabilities and system exploits.

Model Denial of Service: Prevent excessive requests from overwhelming AI systems, reducing availability and unexpected compute costs.

Supply-Chain Risks: Reduce vulnerabilities from external models, AI frameworks, tools, and other dependencies.

Third-Party Dependencies: Manage security and behavioral risks introduced by external models and integrated services.

Infrastructure Vulnerabilities: Secure APIs, middleware, and legacy integrations against misconfiguration and potential attacks.

Our approach to AI security

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Context

Define Context

Our AI security consultants assess your AI and business goals, identify critical workflows, and establish risk tolerances to ensure our AI security measures support innovation without introducing risks.

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Risk

Risk Assessment

We assess your AI system, supporting infrastructure, middleware, and third-party dependencies for vulnerabilities and threats.

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Strategy

AI Strategy & Governance

We develop a comprehensive AI security plan within a broader governance framework, including embedded security, access control, endpoint permissions, data transformation, etc.

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Implementation

Secure Implementation & Integration

We apply a DevSecOps approach to AI security to enable secure, maintainable, and scalable AI deployments. We integrate high-impact controls across AI development, deployment, and operational pipelines to seamlessly balance security and performance.

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Monitoring

Continuous Monitoring & Observability

We monitor our security measures for efficacy, model drift, and adversarial activity while proactively adjusting for improvement and minimizing operational friction.

Implement AI without the risk

We help you unlock the transformative potential of AI for your business without raising your risk profile.

FAQs About AI Security Services

What are AI security services?

AI security services protect AI systems, data, models, and infrastructure from security, privacy, and operational risks.

No. AI security protects AI systems, while AI-augmented cybersecurity uses AI to strengthen broader security operations.

We identify AI risks and apply security, governance, privacy, and compliance controls throughout the AI lifecycle.

Yes. AI security is a key component of governance, helping manage risks, controls, privacy, and responsible AI use.

 

Yes. AI security addresses privacy risks across training data, prompts, internal databases, and external data sources

Strengthen Your AI Security

Secure your AI systems, protect sensitive data, and confidently scale AI across your business.

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