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
99%
Clients Satisfaction
2K+
Projects completed
100+
Industry Leading Clients
10+
Years of experience
Understanding AI security vulnerabilities
Model Behavior & Output Control
Prompt Injection: Hidden instructions in prompts or inputs that change AI behavior.
Jailbreaking: Tricks that bypass safeguards to get restricted outputs or actions.
IP Infringement: AI using protected content in ways that create legal risk.
IP Theft: Proprietary data or models extracted or copied through AI systems.
Model Drift: Live data moving away from training data, lowering accuracy.
Hallucinations: Incorrect outputs that lead to poor decisions or harmful actions.
Data Integrity & Contamination
Data Poisoning: Tampered training data that produces wrong or unreliable results.
Training Data Exposure: Private information absorbed or repeated due to weak data controls.
Insecure Data: Unsafe external sources or pipelines that corrupt AI outputs.
Compliance Risks: Data leaks, broken lineage, and privacy gaps from poor governance.
Control Failures in AI Operations
Unsafe AI Use: AI outputs or actions that put users and systems at risk.
Inappropriate Access Control: Weak identity controls that allow unauthorized model changes or misuse.
AI-Accelerated Attacks: AI-powered threats such as deepfakes, malicious prompts, and automated attacks.
Insecure Output Handling: Unchecked AI outputs that open downstream systems to exploits.
Model Denial of Service: Request floods that overwhelm AI systems and drive up compute costs.
Underlying Architecture & Third-Party Threats
Supply-Chain Risks: Weak points in external models, frameworks, tools, and dependencies.
Third-Party Dependencies: Security and behavior risks from external models and connected services.
Infrastructure Vulnerabilities: Misconfigured APIs, middleware, or legacy integrations open to attack.
Our approach to AI security
01
ContextDefine Context
We review your AI and business goals, map critical workflows, and set risk tolerances that support innovation.
02
RiskRisk Assessment
We test your AI systems, infrastructure, middleware, and third-party dependencies for vulnerabilities and threats.
03
StrategyAI Strategy & Governance
We build an AI security plan inside your governance framework, covering access control, permissions, and data handling.
04
ImplementationSecure Implementation & Integration
Using DevSecOps, we add high-impact controls across development, deployment, and operations without slowing performance.
05
MonitoringContinuous Monitoring & Observability
We monitor controls, model drift, and adversarial activity, and adjust quickly to keep risk and friction low.
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.
Is AI security the same as AI-augmented cybersecurity?
No. AI security protects AI systems, while AI-augmented cybersecurity uses AI to strengthen broader security operations.
How does Suraket mitigate AI security and compliance risks?
We identify AI risks and apply security, governance, privacy, and compliance controls throughout the AI lifecycle.
Is AI security part of AI governance?
Yes. AI security is a key component of governance, helping manage risks, controls, privacy, and responsible AI use.
Does AI security cover privacy risks?
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.