Secure AI-Assisted Software Development for Enterprise Teams
AI coding tools introduce a new threat surface: prompt injection in untrusted file contents, credential leakage through model contexts, MCP server misconfiguration, licence contamination from training data, and hallucinated APIs that pass tests but fail in production. Opsio's secure AI-assisted software development practice engineers defence in depth across the entire AI coding lifecycle, aligned to SOC 2 Type II, ISO 27001 Annex A and the OWASP LLM Top 10.
Trusted by 100+ organisations across 6 countries
Top 10
OWASP LLM
SOC 2
Type II Aligned
ISO 27001
Annex A Mapped
0
Production Incidents
What's Included
Threat Modelling for AI Coding
Structured threat modelling specific to AI coding tools and agentic workflows, covering prompt injection through untrusted inputs, MCP server tool poisoning, excessive agency, data exfiltration via model contexts and licence contamination. We use STRIDE adapted for LLM workloads and map findings to OWASP LLM Top 10.
Identity, Access & Data Residency
SSO via Okta, Entra ID, Ping or OneLogin with SCIM provisioning, role-based access to expensive models, scoped API tokens, per-team budgets, and enterprise-tier configuration ensuring code is excluded from training. Data residency in EU, US or APAC depending on regulatory needs.
Prompt Injection & Context Hardening
Content filtering on inputs and outputs, context sanitisation patterns, untrusted-content quarantine, and detection rules for known prompt injection patterns. We engineer defence against indirect prompt injection through file contents, third-party MCP servers and untrusted documentation.
MCP Server Security
Inventory of all MCP servers in use, tool permission review, least-privilege filesystem and shell access, sandboxed execution environments, scoped API tokens for external integrations, and security review of all third-party MCP servers before introduction to the engineering environment.
Audit Logging & Provenance
Comprehensive audit logging of agent actions, prompt history, model selection, MCP server tool calls and AI-generated code provenance. Logs structured for SOC 2 Type II evidence collection, ISO 27001 Annex A.12 audit requirements and forensic investigation if needed.
Quality & Hallucination Defence
Custom evaluation harnesses that catch hallucinated APIs, made-up library functions and unsafe patterns before they reach production. SAST tools (Semgrep, Snyk Code), SCA scanning (Snyk, Mend), dependency licence checks and policy-as-code gates via Open Policy Agent.
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Opsio is our partner for IT operations and cyber security – a crucial part of our business. We roast 12 million cups of coffee each day, and therefore have high demands for availability and reliability to deliver the best possible quality for our customers. Our partnership with Opsio is vital for us to succeed with this central function.
Magnus Norman
Head of IT · Löfbergs
Why Your Business Needs Secure AI-Assisted Software Development
AI coding tools have transformed developer productivity, but they have also opened a new and poorly understood attack surface. The 2025 OWASP LLM Top 10 documents real risks including prompt injection through untrusted file contents, sensitive information disclosure through model contexts, MCP server tool poisoning, training data contamination, and excessive agency where agents make changes beyond their intended scope. Real 2025 incidents include credential leaks where agents copied .env files into prompts, runaway cloud bills from autonomous agents in deployment loops, and licence contamination from AI-suggested code blocks lifted from training data. Opsio's secure AI-assisted software development practice engineers defence in depth across the entire AI coding lifecycle. We design controls covering data residency and tenancy, identity and access governance, prompt injection defence, secrets scrubbing, MCP server hardening, content filtering, agent action audit logging, CI/CD integration with signed commits and policy-as-code, and quality gates that prevent hallucinated APIs and unsafe code patterns from reaching production. Every control maps to SOC 2 Type II evidence, ISO 27001 Annex A clauses and the OWASP LLM Top 10.
Without structured security engineering, AI coding tools fall into a dangerous middle ground: too risky for security to approve, too valuable for engineering to stop using. Developers end up running personal API keys against production code, MCP servers run with overly permissive shell access, and audit trails do not exist for AI-generated PRs. The result is either a stalled programme or a programme creating quiet risk that surfaces during the next audit or incident.
Secure AI-Assisted Software Development is a sub-pillar of our AI Software Development Consulting practice. It commonly combines with Claude Code Consulting for the agentic tool layer, Vibe Coding for Business for the prototype-to-production hardening pipeline, and AI Developer Productivity Consulting for measurement. Many regulated-industry clients start with this security-led engagement before broader AI rollout.
Typical challenges we resolve: InfoSec blocking AI coding tools because no governance exists, audit findings about ungoverned AI tool use, developers using personal accounts against production code, MCP servers granted excessive permissions, lack of audit trail for AI-generated changes, and uncertainty about IP and licence implications of AI-suggested code. If any of these apply, this practice is the right entry point.
Engagements typically run $8,000 to $40,000 per month depending on scope and regulatory framework count. A focused security assessment runs $10,000 to $20,000 as a one-time engagement. Most clients reach SOC 2-aligned AI coding governance in six to eight weeks, with full audit evidence pack within one quarter. Featured reading from our knowledge base: Software Development Services Near Me, Agriculture Software Development Services by Opsio Cloud, and Discovery Services for Software Development. Related Opsio services: AI Software Development Consulting — Production-Ready AI Coding for Enterprise, Network Services Provider — Secure Enterprise Networking, AWS DevOps Consulting — Native AWS Delivery Pipelines, and Application Maintenance Services — Keep Software Healthy.
How Opsio Compares
| Capability | DIY / Internal | Generic Security Vendor | Opsio Secure AI Delivery |
|---|---|---|---|
| Threat modelling depth | Generic OWASP | Web app threat models | LLM-specific STRIDE |
| MCP server hardening | Rarely addressed | Not in scope | Inventory + least-priv |
| Prompt injection defence | Often missing | Generic content filter | Defence in depth |
| Audit logging | Partial | Tool defaults | SOC 2 evidence-ready |
| Time to audit-ready | 6-12 months | 3-6 months | 6-8 weeks |
| Typical monthly cost | $60K-150K (FTE-heavy) | $30K-80K (limited scope) | $8K-40K (full programme) |
Ready to get started?
What You Get
Pricing & Investment Tiers
Transparent pricing. No hidden fees. Scope-based quotes.
Security Assessment
$10,000–$20,000
One-time, 2 weeks
Consulting Engagement
$8,000–$40,000/mo
Scope and frameworks
Continuous Assurance
$5,000–$15,000/mo
Ongoing monitoring
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
Why Choose Opsio for Cloud Services
LLM-specific threat modelling
STRIDE adapted for LLM workloads, mapped to OWASP LLM Top 10 – not generic web app threat models.
MCP security expertise
Deep practice in MCP server inventory, permission review and least-privilege hardening.
Audit-ready by design
Controls mapped to SOC 2 Type II, ISO 27001 Annex A and GDPR, with evidence pack included.
Defence in depth
Identity, residency, prompt injection, MCP, audit logging and policy-as-code – not single-layer controls.
Dual-region delivery
Karlstad strategy and architecture, ISO 27001 Bangalore engineering for execution.
Production track record
Senior delivery engineers running secure AI coding in regulated-industry production.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our 4-Phase Delivery Process
AI Security Assessment
Audit current AI coding tool usage, threat surface, governance gaps and compliance scope. Map findings to OWASP LLM Top 10, SOC 2 Type II and ISO 27001. Deliverable: AI Security scorecard. Timeline: 2 weeks.
Control Design & Integration
Design controls covering identity, data residency, prompt injection defence, MCP hardening, audit logging and policy-as-code. Integrate with existing security tooling. Deliverable: reference architecture and control mapping. Timeline: 2-3 weeks.
Rollout & Validation
Roll out controls across pilot squads, validate via security testing and tabletop exercises, refine based on findings. Build evidence pack for SOC 2 and ISO 27001 auditors. Timeline: 3 weeks.
Continuous Assurance
Ongoing monitoring of agent actions, quarterly threat-model refresh, MCP server reviews on introduction, and annual audit-evidence updates. Timeline: Ongoing.
Key Takeaways
- Threat Modelling for AI Coding
- Identity, Access & Data Residency
- Prompt Injection & Context Hardening
- MCP Server Security
- Audit Logging & Provenance
Industries Served by Opsio
Fintech & Financial Services
SOC 2, PCI DSS and model risk policy-aligned AI coding governance.
Healthcare & Life Sciences
HIPAA-aware AI coding controls with PHI scrubbing and audit logging.
SaaS & Technology
SOC 2 Type II evidence and customer-facing security questionnaire support.
Regulated Industries
Energy, defence, government supplier and other regulated AI coding programmes.
Secure AI-Assisted Software Development for Enterprise Teams — FAQ
What is secure AI-assisted software development?
It is the practice of engineering defence-in-depth security controls across the lifecycle of AI coding tools like Claude Code, Copilot and Cursor. Controls cover identity, data residency, prompt injection defence, MCP server hardening, audit logging and policy-as-code gates. Everything maps to recognised frameworks including the OWASP LLM Top 10, SOC 2 Type II, ISO 27001 Annex A and GDPR. The goal is preserving productivity gains while eliminating new threat surface.
How does this fit with AI Software Development Consulting?
Secure AI-Assisted Software Development is one of four sub-pillars of our wider AI Software Development Consulting practice. The others are Claude Code Consulting, Vibe Coding for Business, and AI Developer Productivity Consulting. Many regulated-industry clients start with this security-led engagement before broader AI rollout to ensure governance exists before tools scale.
What is the OWASP LLM Top 10 and why does it matter?
The OWASP LLM Top 10 is the industry-standard list of security risks specific to LLM-powered applications and agentic workflows. It covers prompt injection, sensitive information disclosure, training data poisoning, model denial of service, supply chain vulnerabilities, excessive agency and others. We map every control we engineer to specific OWASP LLM Top 10 items so security teams and auditors can see direct alignment.
How do you defend against prompt injection?
Defence in depth: content filtering on inputs and outputs, context sanitisation, untrusted-content quarantine for file contents and third-party MCP server responses, detection rules for known injection patterns, least-privilege MCP permissions limiting blast radius, sandboxed shell execution and audit logging of all agent actions for forensic investigation. No single control is sufficient – the architecture matters.
What about IP and licence contamination?
We configure enterprise tiers that exclude your code from training data, document AI-generated code provenance, integrate SCA and dependency licence checks (Snyk, Mend, FOSSA), and engineer policy-as-code gates that block commits containing code patterns matching known restrictive-licence sources. Legal teams receive documentation showing reasonable steps taken to avoid contamination.
How long to reach SOC 2 alignment?
Typical timeline: two weeks for security assessment, two to three weeks for control design and integration, three weeks for rollout and validation. Most clients reach SOC 2-aligned AI coding governance in six to eight weeks. Full audit evidence pack including control mapping, audit logs, threat models and tabletop exercise records is typically ready within one quarter for the next SOC 2 Type II audit window.
Do you support ISO 27001 and GDPR as well?
Yes – controls map directly to ISO 27001 Annex A (particularly A.5, A.8, A.9, A.12, A.14 and A.18) and GDPR Articles 25 and 32 covering data protection by design and security of processing. We document control mapping in the evidence pack and align with your existing ISMS. Many clients are pursuing all three frameworks simultaneously and we engineer once for multi-framework reuse.
How do you secure MCP servers?
We inventory all MCP servers in use, review tool permissions and document the threat model. Hardening includes least-privilege filesystem and shell access, sandboxed execution environments, scoped API tokens for external integrations, content filtering on tool responses, and mandatory security review before any third-party MCP server is introduced. This is one of the most overlooked areas in AI coding security.
What about audit logging?
Comprehensive audit logging covers agent actions, prompt history, model selection, MCP tool calls, code changes attributed to AI assistance, and security events. Logs are structured for SOC 2 Type II evidence collection, ISO 27001 Annex A.12.4 audit requirements and forensic investigation. We integrate with Splunk, Elastic, Datadog, Sentinel or your existing SIEM rather than introducing yet another logging silo.
Can you work with our existing security tooling?
Yes. We integrate with SAST tools (Snyk, Semgrep, SonarQube, Checkmarx), SCA tools (Snyk, Mend, FOSSA), SIEMs (Splunk, Elastic, Sentinel, Datadog), secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault), identity providers (Okta, Entra ID, Ping, OneLogin) and policy engines (Open Policy Agent, Conftest). Our approach is to layer AI coding governance on top of your existing security investments, not replace them.
Still have questions? Our team is ready to help.
Ready to Secure Your AI Coding Programme?
The OWASP LLM Top 10 documents real risks AI coding tools introduce. Get a free AI Security Assessment mapped to SOC 2 Type II and ISO 27001 controls.
Secure AI-Assisted Software Development for Enterprise Teams
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