ISECURION delivers comprehensive AI security testing, MCP server penetration testing, and DevSecOps implementation aligned with ISO/IEC 42001, NIST AI RMF, and OWASP standards. Secure your AI systems, LLMs, agents, and ML pipelines with confidence.
Artificial Intelligence, Large Language Models, AI agents, and Model Context Protocol implementations are redefining modern software architectures. However, these systems introduce new attack vectors, trust boundaries, and governance challenges that traditional cybersecurity programs are not designed to handle. ISECURION provides comprehensive AI security testing, MCP server assessments, and DevSecOps services to help organizations build, deploy, and operate secure, resilient, and compliant AI systems.
Prompt injection attacks, unauthorized tool execution through MCP servers, sensitive data leakage via AI responses, model inference abuse, training data poisoning, and uncontrolled AI decision-making pose unique threats that require specialized security testing and governance frameworks.
AI security incidents can result in financial loss, data breaches, regulatory penalties, loss of customer trust, legal liability from unsafe AI outcomes, and reputational damage. As AI regulations evolve globally, organizations must demonstrate responsible AI risk management.
Our services align with ISO/IEC 42001 Artificial Intelligence Management System, NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, and secure SDLC practices to ensure your AI systems meet regulatory and audit requirements.
ISECURION works with organizations across the AI adoption spectrum, from early-stage innovation to regulated enterprise deployments.
Embed AI security by design, protect intellectual property, training data, and model behavior while enabling rapid innovation and investor confidence.
Ensure secure AI integrations, safe MCP implementations, customer data protection, and compliance for AI-powered features, copilots, and agents.
Support deployment of internal AI assistants, automation agents, and decision-support systems with governance, auditability, and regulatory compliance.
Align AI security with risk management frameworks, compliance requirements, and audit expectations in highly regulated industries.
Integrate DevSecOps and MLOps security controls into existing workflows without slowing development velocity or innovation pace.
Organizations seeking ISO/IEC 42001 certification receive gap assessments, control implementation support, and audit preparation services.
Prompt injection testing, jailbreak attempts, context poisoning, adversarial input testing, model inference abuse detection, and AI response security validation.
MCP architecture review, authentication and authorization testing, trust boundary analysis, tool abuse and privilege escalation testing, and secure configuration hardening.
Agent workflow security, autonomous action validation, tool execution authorization, context isolation testing, and agent abuse case simulations.
Secure CI/CD pipeline design, source code and dependency security, secrets management, infrastructure-as-code security, and container runtime protection.
ML pipeline security, model registry protection, training data integrity validation, secure inference endpoints, and model lifecycle governance.
ISO 42001 readiness assessments, NIST AI RMF alignment, OWASP compliance mapping, policy documentation, and audit-ready evidence generation.
AI architecture analysis, MCP server mapping, asset identification, regulatory requirement mapping, and testing boundary definition.
AI-specific STRIDE analysis, OWASP LLM Top 10 mapping, NIST AI RMF risk classification, and high-risk component prioritization.
Manual AI penetration testing, prompt injection attacks, MCP tool abuse testing, API endpoint validation, and CI/CD pipeline assessment.
Risk scoring, secure architecture recommendations, developer-friendly remediation guidance, governance alignment, and compliance evidence.
Formal scoping workshops, stakeholder interviews, compliance requirement review, ROE establishment, and legal approvals to ensure secure testing boundaries.
Adversarial AI testing, MCP server exploitation attempts, DevSecOps pipeline validation, and real-world attack simulation with evidence collection.
Detailed fix guidance, architecture review, secure implementation workshops, validation testing, and long-term security roadmap development.
Comprehensive coverage across the AI security landscape
Board-ready risk overview with business impact assessment and strategic recommendations for AI security investment.
Detailed AI security assessment findings, MCP penetration testing results, proof-of-concept exploits, and technical evidence.
NIST AI RMF aligned risk documentation with severity scoring, business impact analysis, and treatment recommendations.
Control mapping matrix for ISO/IEC 42001 compliance, gap analysis, and audit preparation documentation.
Developer-friendly fix guidance, secure architecture recommendations, and configuration hardening instructions.
CI/CD security controls, MLOps pipeline hardening, secrets management best practices, and automation recommendations.
Engineering team enablement sessions, secure AI development training, and security awareness workshops.
Audit-ready documentation for regulatory reviews, customer security questionnaires, and certification processes.
Long-term security roadmap development, secure-by-design architecture advisory, and risk-based prioritization frameworks.
Hands-on workshops with development teams, secure coding practices, and DevSecOps culture building.
Periodic reassessments, security posture tracking, threat intelligence updates, and advisory retainer services.
Support during regulatory audits, customer security reviews, certification processes, and compliance assessments.
Multi-year security transformation plans, investment prioritization, and maturity benchmarking against industry standards.
Security posture measurement, risk reduction tracking, compliance coverage reporting, and executive dashboards.
Deep AI, MCP, and agent security expertise with proven experience across GenAI, LLM, and ML security testing.
Strong alignment with ISO 42001, NIST AI RMF, OWASP standards, and regulatory compliance requirements.
Deep understanding of AI engineering workflows, DevOps culture, and practical security integration approaches.
Compliance-driven deliverables that satisfy auditors, regulators, and customer security requirements.
Tool-agnostic services that work with any AI platform, cloud provider, or technology stack.
Proven track record across fintech, healthcare, SaaS, e-commerce, and regulated sectors.
Focus on business-critical risks with pragmatic recommendations that balance security and innovation.
Ongoing advisory support, continuous assessment programs, and strategic security guidance.
Partner with ISECURION for comprehensive AI security testing, MCP server assessments, and DevSecOps implementation aligned with global standards.
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