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Cyber Defense & AI Security for Companies Building With AI
AI agents, LLM apps, RAG systems, APIs, and cloud workflows introduce new attack surfaces. We help you find, test, govern, and secure them before they become business risk
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8
Service Lines
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30+
Specialized Services
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2026
EU AI Act Ready
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AI & LLM Security
Highest-growth, lowest-supply segment in 2026 — most security firms cannot deliver it credibly.
šŸ† Flagship / Differentiated
AI/LLM Application Security Assessment

Full security assessment of LLM-powered applications — chatbots, RAG systems, copilots, AI agents.

Prompt Injection Red-Teaming

Test whether users can manipulate your AI systems into leaking data, ignoring rules, or taking unsafe actions.

RAG Pipeline Security Review

Check whether your retrieval system can expose wrong, sensitive, poisoned, or unauthorized information.

MCP Server Security Audit

Security review of Model Context Protocol servers and trust boundaries.

Agentic AI Threat Modeling

Find where teams are already using AI tools, models, plugins, and workflows without proper visibility or controls

AI Security Posture & Shadow-AI Discovery

Inventory of AI usage across organization's products and teams.

AI Guardrails Architecture & Advisory

Design and integration guidance for layered AI defences.

Adversarial ML Testing

Robustness testing against evasion, poisoning, and model attacks.

AI Provenance & Supply-Chain Security

Provenance tracking for AI-assisted development and model supply chain.

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Who This Is For

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AI SaaS companies building LLM features, copilots, agents, or RAG systems.
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Healthcare, fintech, legal, and enterprise teams using AI in sensitive workflows.
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Software companies adding AI features to existing products.
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Organizations preparing for AI governance, audits, or customer security reviews.

AI Security Risks We Help You Catch

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Prompt injection

Prompt injection

Data leakage

Data leakage

Hallucinated answers in high-risk workflows

Hallucinated answers in high-risk workflows

Unsafe agent actions

Unsafe agent actions

RAG source poisoning

RAG source poisoning

MCP/tool misuse

MCP/tool misuse

Over-permissioned agents

Over-permissioned agents

Shadow AI usage

Shadow AI usage

Unlogged AI decisions

Unlogged AI decisions

Weak human approval flows

Weak human approval flows

Not sure if your AI system is secure?
Start with an AI Security Assessment.
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Application & API Security
API Security Assessment
Testing against OWASP API Security Top 10 for REST, GraphQL, gRPC.
Web Application Penetration Testing
Manual + automated testing against OWASP Web Security Testing Guide.
Secure Code Review
Manual review of high-risk modules supported by SAST tooling.
Application Threat Modeling
STRIDE-based threat model of applications and systems.
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Cloud Infrastructure Security

Cloud Security Architecture Review

Architecture assessment for Azure or AWS workloads.

Zero Trust Architecture Design

Design of Zero Trust principles per NIST 800-207.

Container & Kubernetes Security

Review of container images, runtime, and orchestration security.

Cloud Migration Security

Security workstream for cloud-to-cloud or on-prem-to-cloud migrations.

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DevSecOps & Secure SDLC
CI/CD Pipeline Security Integration

Embedding security gates with SAST, SCA, secrets scanning.

DevSecOps Maturity Assessment

Assessment of secure-SDLC practices against maturity model.

AI-Aware SDLC (AISDL) Advisory

Extending secure SDLC with AI-specific lifecycle controls.

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Governance, Risk & Compliance
ISO 42001 Readiness & Implementation
Gap analysis and implementation for AI Management System standard.
EU AI Act Compliance Mapping
Risk classification and obligation mapping for high-risk AI systems.
SOC 2 / ISO 27001 Readiness
Control implementation support for certification.
Customer Security Assurance Support
Building reusable evidence library and response templates.
Third-Party / Vendor AI Risk Assessment
Risk assessment of third-party AI services and providers.
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Offensive Security & Testing
Penetration Testing (Web / API / Cloud)
Authorized offensive testing across web apps, APIs, and cloud.
AI Red-Team Engagement
Adversarial testing using Promptfoo, NVIDIA Garak, MCP Inspector.
Vulnerability Assessment & Management
Risk-based vulnerability prioritization and remediation.
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Security Architecture & Advisory
Security Solution Architecture
End-to-end security architecture for new or evolving products.
Secure-by-Design Advisory
Embedding security into the design phase with threat modeling.
Fractional / Advisory Security Leadership (vCISO)
Part-time senior security leadership and strategy.
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Managed & Continuous Services
Continuous AI Red-Teaming
Ongoing, CI-integrated adversarial testing of AI systems.
Managed Vulnerability Management
Ongoing scanning, triage, prioritization, and tracking.
AI-Powered API Security Monitoring
Real-time API traffic monitoring with ML-based anomaly detection.
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Engagement Models
Flexible delivery models tailored to your needs
Assessment

Assessment

- Point-in-time security evaluation

- 1 to 4 weeks

Project

Project

- Defined-scope implementation or design

- 1 to 3 weeks

Retainer / Advisory

Retainer / Advisory

- Ongoing access to senior expertise

- Monthly

Managed Service

Managed Service

- Continuous operational security

- Monthly / Annual

Training
Training

- Team capability building

- 1 to 5 days

What Makes Us Different

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01

AI Security Depth

Prompt injection, MCP, agentic AI, adversarial ML — delivered hands-on, not slideware. Most firms can't match this.

02

Builder Credibility

Real ML engineering and product-security architecture background, not pure consultancy.

03

The Bridge

Traditional and AI security under one roof. SSDLC and AISDL, API security and LLM security.

04

Standards Fluency

ISO 42001, EU AI Act, NIST AI RMF, OWASP, MITRE ATLAS — mapped to practical controls.

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locationD 908 - PNTC, Times Of India Press Rd, Prahlad Nagar, Ahmedabad, Gujarat - 380015, India
locationLangenthalstrasse 8A, 4912 Lotzwil, Switzerland.
location1204 Al Manara Tower, Business Bay Dubai, United Arab Emirates
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