AI Security Services That Protect Your AI Models, Data, and Agentic Systems

Your business runs on AI. But does your AI run securely? Agentic India delivers end-to-end AI security services, from AI cybersecurity consulting and LLM security to generative AI threat detection, AI model security, and agentic AI security. We protect your AI infrastructure, training data, autonomous agents, and AI-powered workflows from prompt injection, model poisoning, adversarial attacks, and unauthorized access.

  • AI security consulting, posture management
  • LLM security and generative AI cybersecurity solutions
  • Specialized agentic AI security
  • GDPR, HIPAA, ISO 42001, EU AI Act
Secure Your AI Systems
50+
AI Security Projects Delivered
200+
AI Systems Secured
99.8%
Client Uptime Post-Deployment
India
Delivery Footprint
Why businesses need dedicated AI security services

Why Are Businesses Losing Ground Without Dedicated AI Security Services?

Traditional cybersecurity was built for fixed perimeters and known threat signatures. It was not built for large language models manipulated through prompt injection, AI models poisoned during training, autonomous agents that make decisions with real-world consequences, or generative AI outputs that silently leak proprietary data into uncontrolled external systems. If your organization is deploying AI and relying on generic security controls, your exposure is growing faster than your protection.

AI Security Services

What Are AI Security Services That Agentic India Deliver?

Every service we offer is designed from the ground up for AI-native risk. We do not apply legacy cybersecurity controls to AI systems and call it AI security. We build protection that understands how LLMs, generative AI systems, and autonomous agentic workflows actually work and, more importantly, where they actually fail under attack.

AI Security Consulting

Assess your AI environment, identify gaps in model governance, data handling and access controls, and get a ranked remediation roadmap aligned with NIST AI RMF, ISO 42001 and OWASP LLM Top 10.

Threat Detection

AI-native monitoring to identify anomalous behavior, unauthorized access and adversarial inputs in real time, with sub-second alerting and pre-built response playbooks.

Data Privacy

Protect datasets, embeddings and vector databases with data minimization, differential privacy techniques and access governance that meets GDPR, HIPAA and India's DPDP Act requirements.

AI Model Protection

Harden your AI models against adversarial attacks, data poisoning, model inversion and model extraction. Coverage for proprietary and open-source models, across any cloud or on-premises infrastructure.

Governance & Compliance

Map AI operations to EU AI Act, NIST AI RMF, ISO 42001, SOC 2 and OWASP LLM Top 10. Produce audit-ready documentation and support your compliance teams through regulatory review cycles from assessment to sign-off.

LLM Security

Implement prompt injection defenses, output filtering, input sanitization and access controls for LLMs in customer-facing and internal applications. Security built in from the first architecture decision.

Red Teaming

Simulate adversarial attacks on your AI systems, including jailbreaks, prompt injection chains, model extraction and multi-step agent manipulation. We test the way attackers think.

Agentic AI Security

Secure multi-agent systems and autonomous workflows with agent boundary controls, tool-use restrictions, memory governance and real-time behavioral monitoring.

Runtime Guardrails

Deploy real-time output guardrails that prevent harmful, biased or non-compliant responses, protecting your users, brand and regulatory standing without disrupting legitimate operations or degrading user experience.

Which AI Cybersecurity Solution Fits Your Business Need?

AI security is not a single point of control. It is a layered program addressing different attack surfaces across your AI environment. Here is how each service works and what it specifically delivers for your organization.

01. AI Security Posture Management
02. LLM and Generative AI Security
03. Agentic and Multi-Agent Security
04. AI Red Teaming
05. AI Data Security
06. AI Supply Chain Security
07. AI Threat Detection
08. AI Governance & Compliance
09. Managed AI Security

AI Security Posture Management

Continuous visibility into every AI asset in your organization, from approved enterprise tools to shadow AI discovered in employee workflows. We inventory, risk-score, and monitor your AI posture continuously so your security team always knows what AI is running, who is using it, and what data it is accessing.

  • Automated AI asset discovery
  • Shadow AI identification, cataloging
  • Policy enforcement and real-time violation alerting
  • Continuous posture dashboards

AI Security Solutions Built Around Real Business Challenges

Every engagement starts with a real business problem. These are three outcomes Agentic India delivered for clients in healthcare, retail, and customer support, drawn directly from our case studies portfolio.

Ready to Secure Your AI Systems?

Talk to our AI security experts about your models, data, and agentic workflows.

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AI Illustration

What Does AI-Powered Threat Detection Achieve for Your Organization?

Your AI systems are only as trustworthy as security controls protecting them. A well-designed AI security program delivers measurable outcomes across risk reduction, regulatory compliance, operational continuity, and board-level confidence that generic security programs simply cannot match.

Our Benefits
Breach Prevention

How Does Agentic India Build Your AI Security Program End to End?

We follow a structured delivery process that moves from business discovery through to deployed, continuously monitored AI security controls. Each stage has defined deliverables and technical checkpoints before the next phase begins, so you always know exactly where your program stands.

AI security program delivery
1

Assess and Audit

We map every AI asset in your environment: models in production, data pipelines, API integrations, third-party tools, and shadow AI in active employee use. We score your current posture against NIST AI RMF and OWASP LLM Top 10 and deliver a gap analysis report. Typical delivery: 2 to 3 weeks.

2

Threat Modeling

We build an AI-specific threat model for your environment, documenting attack surfaces, adversarial scenarios, and risk priorities in the context of the specific AI architectures you actually run. We go beyond generic frameworks and map threats to your real production systems.

3

Model Hardening

We implement technical controls at the model layer: adversarial robustness training, access controls, inference monitoring, and input/output sanitization. For LLMs and generative AI, we configure prompt security layers and content moderation pipelines matched to your use case.

4

Runtime Protection

We deploy monitoring agents, behavioral baselines, and real-time guardrails across your AI systems. Automated alerting and response playbooks ensure your team can act in minutes, not hours, when anomalies, adversarial inputs, or policy violations are detected in production.

5

Compliance Mapping

We map your implemented security controls to every applicable regulatory framework, produce audit-ready documentation, and support your compliance and legal teams through regulatory review cycles from initial gap identification through to final documentation sign-off.

6

Continuous Monitoring

AI threats evolve as your systems scale and as attacker techniques improve. Our managed monitoring service provides continuous visibility into your AI security posture, monthly reporting, threat intelligence updates, and proactive model re-hardening as your AI environment changes.

Where Can Artificial Intelligence Security Be Applied Across Your Enterprise?

AI security is not a single control point. It applies across every layer of your AI architecture, from the models themselves and the data they access to the agents that operate them, the infrastructure that hosts them, and the third-party tools your teams use without IT approval.

LLM Applications

Customer-facing chatbots, internal knowledge assistants, document analysis systems, and AI-powered search built on GPT, Claude, Llama, Gemini, Mistral, or any other foundation model deployed in production.

MLOps Pipelines

Training data ingestion, model training, evaluation, and deployment pipelines where data poisoning and model tampering risks are highest and, in most organizations, least monitored by any security control.

Cloud AI Infrastructure

AI workloads running on AWS, Azure, GCP, or private cloud, including model inference API endpoints, model serving infrastructure, and the data storage layers holding your training and fine-tuning assets.

Agentic Workflows

Autonomous AI agents that call external APIs, execute code, access databases, browse the web, and make real-world decisions across multi-step tasks, including complex multi-agent orchestration architectures.

Third-Party AI Tools

Open-source models, vendor AI APIs, and AI features embedded in SaaS products your teams are already using, including tools adopted without IT awareness or approval and flagged through shadow AI discovery.

AI Data Stores

Vector databases, embedding stores, training datasets, fine-tuning datasets, and retrieval-augmented generation knowledge bases that hold your most strategically sensitive and competitively valuable organizational data.

Technologies Powering Our AI Security Services

We work with the leading tools across LLM security, AI posture management, threat detection, red teaming, data privacy, and AI governance. Our technology selection is always driven by your existing environment and your specific AI architecture, not by vendor relationships or preferred tooling.

LG Lakera Guard
PA Protect AI
LG LLM Guard
NG NeMo Guardrails
PR Presidio
CF CrowdStrike Falcon
WA Wiz AI Security
MD Microsoft Defender for AI
DA Darktrace
PA Protect AI Radar
HM HiddenLayer Model Scanner
AS AI-SPM tools
GA Garak
PY PyRIT
CA Custom adversarial testing frameworks
OL OWASP LLM test suites
DP Differential privacy libraries
AR ARX
MP Microsoft Presidio
GA Gretel AI
NA NIST AI RMF toolkits
I4 ISO 42001 frameworks
OL OWASP LLM documentation

Why Businesses Choose Agentic India Over Traditional Security Vendors

Most organizations discover too late that their existing cybersecurity vendor does not actually understand AI. They apply network and endpoint security thinking to AI systems and miss the attack surfaces that matter most. Here is where the difference shows up in a direct comparison that goes beyond marketing claims.

CapabilityTraditional Security VendorsAgentic India
AI system expertise
Generic IT security retrofitted for AI as an afterthought
Built natively for LLMs, generative AI, and agentic architectures
Agentic AI coverage
Absent from most security frameworks and service offerings
Full multi-agent and autonomous workflow security included as standard
Shadow AI discovery
Rarely covered or limited to basic network traffic detection only
Continuous AI asset discovery and posture management included
LLM-specific testing
Prompt injection and jailbreak testing not in scope or capability
Full LLM attack surface testing standard across all engagements
OWASP LLM Top 10
Alignment uncommon, rarely part of any engagement deliverable
Built into every LLM and generative AI security engagement
Compliance frameworks
GDPR and ISO 27001 coverage only
NIST AI RMF, EU AI Act, ISO 42001, OWASP LLM Top 10, plus sector frameworks
Speed to protection
3 to 6 months before meaningful AI-specific controls are in place
Security-ready within 4 to 6 weeks of engagement commencement
AI supply chain security
Third-party model vetting not a covered service
Full supply chain vetting including open-source model integrity assessment

What Makes Our Agentic AI Security Approach Different From Any Other Provider?

Our team comes from AI development, not from traditional cybersecurity retrofitted for AI. We understand what makes LLMs, generative AI systems, and autonomous agentic workflows fundamentally different from conventional software: non-deterministic outputs, emergent behavior, multi-step reasoning chains, dynamic tool use, and training pipelines.

Agentic-First Design

We specialize in securing autonomous AI agents and multi-agent systems. Conventional security providers do not. Our engineers have built and secured agentic AI systems in production environments across multiple industries.

Depth Over Breadth

We do not offer AI security as one line item in a catalog of 50 services. It is what we do. Every engineer working on your engagement is focused on AI security exclusively, not splitting attention across network monitoring, endpoint management.

AI Security Services Across Every Major Industry

AI security requirements vary significantly by sector, driven by the sensitivity of the data AI systems handle, the regulatory frameworks governing their use, and the business-critical nature of the decisions they support.

AI security by industry

(1) Banking

Secure AI-powered fraud detection, credit scoring, and customer service systems against adversarial manipulation and model theft. Compliance coverage for RBI, SEBI, GDPR, and DPDP Act requirements built into every engagement.

(2) Healthcare

Protect clinical AI systems, diagnostic models, and patient data pipelines with HIPAA-aligned controls and shadow AI governance that satisfies both regulators and clinical risk officers across distributed healthcare environments.

(3) Retail

Secure AI recommendation engines, dynamic pricing systems, and inventory automation against data poisoning and adversarial manipulation.

(4) Manufacturing

Harden AI systems in predictive maintenance, quality control, and supply chain automation against adversarial sensor manipulation and industrial espionage targeting the proprietary process data that these systems depend on.

(5) Legal

Secure AI document review and contract analysis systems against data leakage, unauthorized access to privileged materials, and adversarial manipulation of legal reasoning outputs that could affect case outcomes and professional liability.

(6) Education

Protect AI tutoring, assessment, and content generation platforms from prompt injection, data leakage, and bias exploitation, ensuring the safety and integrity of AI tools used by students and educators at every level.

(7) Government

Secure AI systems in public service delivery, fraud detection, and public safety applications with the strictest available access controls, adversarial robustness standards, and audit documentation requirements.

(8) Telecom

Protect AI-driven network optimization, fraud detection, and customer experience systems from adversarial attacks that exploit real-time inference at the high query frequencies that production telecom AI systems operate continuously.

How Do Businesses Engage Agentic India for AI Security Services?

We offer three engagement models designed to match different organizational needs, risk profiles, and budget structures, from a focused one-time audit to a fully managed ongoing AI security program that operates as an extension of your team.

01

Project-Based

A defined-scope AI security engagement with clear deliverables, timelines, and documented outcomes. Suited for organizations conducting a first-time AI security audit, an LLM security assessment ahead of a product launch, or an AI red teaming exercise before a major deployment.

  • Fixed scope and timeline with defined deliverables
  • Audit reports, threat models, and remediation roadmaps
  • Ideal for point-in-time assessments and pre-launch validation
  • 2 to 8 weeks depending on scope and number of systems
Discuss a Project
02

Ongoing Retainer

Continuous AI security coverage on a monthly retainer basis. Includes regular posture reviews, threat intelligence updates, model monitoring, and compliance reporting. For organizations where AI is core to their product or operations and continuous visibility is a non-negotiable requirement.

  • Continuous monitoring with automated alerting
  • Monthly security posture reviews and executive reporting
  • Threat intelligence updates and model re-hardening
  • Priority incident response included
Discuss a Retainer
03

Embedded Security Team

Dedicated AI security engineers embedded with your product or engineering team for organizations building AI at scale. We operate as an extension of your team, securing AI systems from architecture design through production deployment and continuous operation.

  • Dedicated AI security engineering capacity on your projects
  • Security-by-design from the first sprint and architecture review
  • Full integration with your development and DevSecOps workflow
  • Board-level risk reporting and compliance documentation included
Discuss an Embedded Team

Frequently Asked Questions

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