AI Model Pentest

Prompt Injection, AI‑Agent Abuse & Model Extraction

Focused AI pentesting that simulates real adversaries: prompt injection, AI‑agent manipulation, model extraction and adversarial inputs to quantify exploitability and recommend guardrails aligned to OWASP GenAI guidance.

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AI Model Pentest

Integrations & Agents

Harden Integrations, Agents & Supply Chains

Assess connectors, APIs, agent workflows and third‑party model suppliers for exfiltration paths, agent misuse and supply‑chain risks that enable production compromise.

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Integrations & Agents

AI Guardrails & Governance

MCP Pentest, Model Testing & Runtime Guardrails

Combine MCP pentest (multi‑component/model pentesting), model testing and runtime guardrails to harden MLOps pipelines, enable safe deployments and maintain continuous assurance against OWASP GenAI risks.

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AI Guardrails

Overview

LLMPT — Prompt Injection

AI Security Team
AI Risk Assessment

Why It Matters

AI systems create novel and silent attack vectors. Prompt injection can subvert model behavior and exfiltrate secrets; model extraction threatens IP; poisoning corrupts decisioning; adversarial inputs and API abuse undermine integrity. Effective defense combines targeted AI pentesting, MLOps hardening and OWASP‑aligned controls.

Cyber Allegiance blends adversarial testing, MLOps hardening, and governance frameworks to reduce model exploitation risk, ensure responsible AI, and provide evidence for regulatory compliance such as NIST AI RMF and the EU AI Act.

  • AI red‑teaming and adversarial ML testing focused on exploitability
  • Prompt injection assessment and containment strategies for LLMs and agents
  • Model extraction and IP exposure testing with mitigation playbooks
  • Poisoning simulations, adversarial input analysis and robustness checks
  • MCP pentest (model & component/supply‑chain penetration testing) for multi‑model systems
  • AI guardrails, runtime monitoring and production hardening
  • Governance, model cards and compliance evidence mapped to OWASP GenAI, NIST AI RMF and EU AI Act
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AI Security

Purpose-built testing & hardening for AI systems


Our AI security services evaluate models, prompts, AI agents, data pipelines and integrations for the exploitation vectors identified by OWASP GenAI / LLM Top 10 and leading industry frameworks. We combine offensive AI pentesting (prompt injection, extraction, poisoning, MCP pentest) with practical guardrails, runtime controls and compliance evidence.

AI Security Services

Practical, engineering-focused services that harden models and enable safe production deployments.

Who benefits

  • Security & ML Leaders: measurable model robustness, detection and response for AI threats.
  • Product & Data Teams: secure prompt/agent design, supplier validation and MLOps controls.
  • Compliance & Legal: OWASP GenAI / NIST-aligned documentation and evidence for regulators.
  • Engineering: concrete remediation playbooks and CI/CD guardrails to harden models and APIs.

Practical outcome: Reduced model exploitation risk, documented governance, and validated mitigations for production AI systems.

Our approach

  • Discovery & inventory: model & agent cataloging, prompt/data flow mapping, and attack surface analysis aligned to OWASP GenAI / LLM Top 10.
  • Adversarial testing: dedicated prompt injection tests, AI‑agent manipulation, extraction attempts, poisoning simulations and adversarial input campaigns.
  • MLOps review: CI/CD and deployment controls, data lineage, model/version management, runtime monitoring and guardrails.
  • Governance & fairness: bias testing, model cards, policy alignment to OWASP GenAI, NIST AI RMF and EU AI Act.
  • Remediation & verification: prioritized mitigations, re‑testing and operational hardening for production.

Deliverables

Actionable outputs for engineering, risk and compliance teams.

  • Adversarial pentest reports with exploitability scoring, PoCs and remediation tickets.
  • Threat models and data/prompt lineage maps that call out OWASP GenAI Top 10 categories in scope.
  • MLOps hardening checklist, CI/CD policy configurations and deployment remediation playbooks.
  • Bias, fairness and responsible AI findings with measurable mitigation plans.
  • Compliance and control mappings to OWASP GenAI, NIST AI RMF, EU AI Act and evidence bundles for audits.
AI Security Services

AI Security Capabilities

  • AI/ML model penetration testing
  • Prompt injection & model extraction testing
  • MLOps & secure deployment reviews
  • Adversarial ML & red teaming
  • AI governance, bias & fairness assessments
  • Compliance mapping (NIST AI RMF, EU AI Act)
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Our Services

Comprehensive AI Security

Offensive testing and defensive governance combined to reduce AI-specific risks across models, pipelines and integrations.

Model Penetration Testing

Targeted tests for prompt injection, model extraction, data poisoning and adversarial inputs to quantify exploitability and business impact.

AI Application Security

Assess integrations, APIs and supply chain components for data leakage, API abuse and privilege escalation risks affecting AI services.

Secure MLOps & Deployment

Review CI/CD, model versioning, data pipelines and deployment controls to ensure model integrity and traceability.

Adversarial ML & Red Teaming

Red-team style engagements that simulate advanced model-level adversaries and TTPs to test detection and response.

Governance & Responsible AI

Bias and fairness reviews, model cards, documentation and policy support to operationalize responsible AI practices.

Compliance & Regulatory Mapping

Map AI controls to NIST AI RMF, EU AI Act and applicable ISO standards to reduce regulatory risk and support audits.

Engagement Models

Select the AI Security Approach
That Fits Your Risk Profile

AI Red Team

Model Assurance

Governance & Advisory

Why Choose Cyber Allegiance

Tested. Governed. Responsible.

We combine offensive AI testing with governance and MLOps controls to deliver measurable reductions in model exploitation risk and defensible compliance evidence.

Elite Security Team

AI-Focused Expertise

Practitioners skilled in adversarial ML, threat modeling for models, MLOps controls, and governance frameworks.

Business Focused

Risk-Centric Reporting

Reports that translate model-level findings into business impact, remediation priorities and compliance evidence.

Manual Testing

Balanced Approach

Automation for scale and manual adversarial testing for depth — ensuring both broad coverage and high-fidelity findings.

Customized Testing

Tailored Programs

Service design mapped to your model portfolio, data sensitivity and regulatory obligations.

Clear Communication

Clear Communication

Executive briefings, technical appendices and remediations that engineering teams can implement quickly.

Detailed Reporting

Actionable Deliverables

Adversarial proofs-of-concept, model cards, bias metrics and compliance mappings to support audits and governance.

OWASP Top 10

Top 10 Security Risks



Defaulting to OWASP Top 10 for LLM Applications.

Source: OWASP Top 10 — 2021
Select a topic from the left to view details and recommended focus areas.

Frequently Asked Questions

Executive Insights on AI Security

Prompt injection, model extraction, data poisoning, and adversarial inputs are immediate risks. They can cause data leakage, incorrect decisions, or IP exposure. Our testing prioritizes these attack vectors and measures impact to your workflows.

We simulate adversarial prompts, crafting inputs designed to exfiltrate training data, override safety filters, or prompt the model to reveal protected content. Tests include analysis of downstream integrations and API channels to verify end-to-end exposure risks.

Yes. Governance programs align model documentation, risk assessments, bias mitigation and controls to frameworks such as NIST AI RMF and the EU AI Act. We produce evidence packages and control mappings to support audits and regulators.

We run fairness and bias tests across model outputs, evaluate training data cohorts, and recommend mitigation strategies such as re-weighting, de-biasing, input sanitization and monitoring to maintain acceptable fairness metrics in production.

Have questions?

Contact our AI security team for scoping, PoC planning, and governance design.

Phone: (+91) 99632 56606
Email: info@cyberallegiance.com