AI that your security team can sign off on
AI Continua secures the AI systems you already run, audits them against recognized frameworks, and builds custom agents that operate inside your access controls, approvals and audit trails.
What we do
Three practices, one continuous loop
Most AI programs fail in the gaps between building, securing and proving. We cover all three, so what gets built is tested, and what gets tested stays tested.
AI security
Defend LLM apps, RAG pipelines and agents against prompt injection, data leakage, model abuse and supply-chain risk, with guardrails and monitoring that stay in place after launch.
Explore AI securityAI security audits
An independent, evidence-based assessment of your AI systems: adversarial testing, architecture and data-flow review, and a prioritized remediation plan your engineers can act on.
Explore auditsCustom AI agents
Agents trained on your processes and knowledge, wired to your systems with scoped permissions, approval steps and full logging, so they do real work without becoming a new risk.
Explore custom agentsRunning a smaller business?
Your team is probably already using AI. We help you find out what is in use, protect your data, and pick one workflow worth automating, in plain language.
Why AI Continua
Security is part of the build, not a review at the end
The same team that builds agents also knows how to break them. That changes what gets designed in the first place.
- Attack-tested before release. Every agent and AI feature ships with a replayable adversarial test suite, not a one-time checklist.
- Least privilege by default. Agents get the narrowest tool and data access that does the job, and ask for approval on anything sensitive.
- Evidence, not opinions. Findings include the prompt, the output and the steps to reproduce, so your team can verify and fix them.
- Continuous, not annual. Models, prompts and data change weekly. Testing and monitoring should too.
Prompt injection
Direct and indirect attacks through documents, email, web pages and tool output.
Data leakage
Sensitive data exposed through outputs, retrieval, logs and fine-tuning sets.
Excessive agency
Agents that can do more than they should when something goes wrong.
Supply chain
Third-party models, plugins, datasets and MCP servers you did not write.
How engagements run
From first conversation to continuous assurance
Every practice follows the same five stages, scaled to your environment.
Discover
Inventory your AI systems, data flows, vendors and owners. Agree on scope and risk appetite.
Assess
Threat-model each system and test it adversarially against your real configuration.
Fix
Prioritized remediation with engineering support, from guardrails to architecture changes.
Verify
Re-test every fix. Turn each finding into a regression test that runs on future releases.
Monitor
Watch for drift, abuse and new attack patterns. Report to security and model owners on a set cadence.
Standards we work to
Grounded in the frameworks your auditors and regulators already use
We map findings and controls to the references below so results slot into your existing GRC process.
Alignment means we test and report against these references. It is not a certification, and an AI Continua report does not replace a formal certification audit or legal advice.
Common questions
Do you test systems built on third-party models like OpenAI, Anthropic or Google?
Yes. We test your application layer: prompts, retrieval, tools, permissions and data flows. We do not attack the model providers themselves, and we follow each provider's usage policies during testing.
Will testing disrupt production?
We prefer a staging environment with production-like data controls. When production testing is necessary, we agree on rate limits, test accounts and stop conditions in writing first.
Can you build agents without sending our data to an outside model?
It depends on your requirements. We design for private deployment options, data minimization and model choice, and we document where every piece of data goes before build starts.
How long does an audit take?
A focused audit of one AI system typically runs a few weeks. Larger portfolios are scoped by number of systems and depth. We confirm timing after a scoping call.
Do you only work with MentourCorp staffing clients?
No. AI Continua works with any organization. If you already work with MentourCorp, we can also help staff the teams that run your AI programs.
Find out where your AI systems stand
A 30-minute scoping call covers what you run today, what worries you, and whether an audit, a hardening project or an agent build fits best.