Secure AI Services
Put AI to work across your business, secured under one framework.
The AI landscape shifts monthly, sometimes weekly. New tools, features, and rules arrive constantly, and a setup that was sound six months ago can quickly fall behind. Secure AI is built to keep pace. We keep track of new tools, features, and regulations as they land, and update your setup so it doesn’t fall behind.
Through Secure AI, Abacus helps regulated organizations adopt AI without widening their risk. Model-agnostic and tool-based, we recommend and secure whatever fits your environment rather than prioritizing a single vendor. After, we govern how that AI reaches and uses your data, so your teams gain real productivity while your sensitive information and access stay controlled.
Your riskiest AI tool is the one you didn’t decide to deploy.
Adoption is not the hard part anymore. People reach for AI on their own, and the productivity is real. The exposure shows up when no one is governing that usage: unknown tools, sensitive data leaving your control, and no record of what happened. These are the concerns landing on the desks of leaders in regulated industries right now.
Shadow AI
Unknown tools, unknown surface. Employees adopt AI apps and assistants outside IT’s view. Most organizations cannot say which tools are in use, or on what data.
Data Exposure
Sensitive data in the wrong place. The moment regulated or confidential information gets pasted into an unmanaged tool, it is out of your control and off your audit trail.
Regulator Scrutiny
Rules aimed at the AI layer. Regulators and examiners are asking how AI is used, controlled, and evidenced. “We are not sure” is not a defensible answer.
Fortifying AI at your organization is a governance problem before it is a technology problem.
Secure AI governs how data moves and how tools are used in real time.
A framework, delivered as a service.
The Abacus Secure AI offering is not a single product. It is the set of configurations, controls, and governance layers applied when we put AI to work in your environment. With one accountable team from strategy through day-to-day operations, we run AI as a managed service inside the technology stacks we already support as your IT provider.
Compliance is not automatic. It takes proper configuration, active enforcement, and ongoing governance. Abacus scopes that work explicitly rather than assuming it is already in place. Controls are configured for your environment, enforced continuously, and kept current as tools and regulations change.
Secure AI Is
- A layered governance and security framework applied to your AI use
- Model-agnostic and tool-based, not locked to a single vendor
- Delivered and operated by Abacus as a managed service
- Built on top of the security controls you already have
- Scalable from a first pilot to enterprise-wide adoption
- Kept current by an ongoing watchdog cadence
We match the tool to your technology and business needs, then secure it.
Abacus is vendor-neutral and always recommends the tool that fits your business objectives, not the one we’re incentivized to position. And, if an alternate tool comes out that better matches your needs, you can move to it without starting over. Whichever tools you use, the same Secure AI framework governs them.
The platforms we work with today include Microsoft Copilot, Claude, ChatGPT, and Google Gemini. Each has different strengths, and we help you choose based on where your people already work and what you need AI to do. As new tools and models emerge, the framework extends to cover them.
Four control layers, applied the same way to every tool.
Securing AI comes down to controlling how data is accessed and used. Abacus applies the same four layers regardless of the tools you deploy. They extend and enforce the policies you already have, not replace them.
Policy-Driven Access
AI works only where the user is authorized and within the data the user is permitted to see.
Outcome: Prevents exposure of sensitive data, even inside the same environment.
Data Classification
Classification labels set the rules for handling data, with DLP enforced at the point of interaction, not only at storage.
Outcome: Regulated and confidential records stay restricted wherever they are accessed.
Data-Movement Monitoring
Continuous visibility and audits with every AI-assisted action logged and traceable—and exfiltration risks flagged as they happen.
Outcome: Full transparency and defensibility for audits and investigations.
Tenant & Identity Isolation
AI mirrors your existing environment and data controls, ensuring your boundaries stay intact.
Outcome: AI never becomes a back door around controls you already trust.
Regulated industries can move on AI. But your work needs the right controls.
The Secure AI controls are built to map to the frameworks regulated organizations answer to every day, allowing AI to accelerate work while accountability stays with your people.
Financial Services
SEC / FINRA / SOX
Data classification, retention, monitoring of data movement, and controlled access to sensitive financial information across the firm and its portfolio.
Healthcare
HIPAA / HITECH
Strict access control, audit logging, and protection of health information through encryption.
Privacy
GDPR & Data Privacy
Access governance, data minimization at the point of interaction, and audit trails that support subject-access requests and incident response.
There is no single right place to begin.
Some organizations are scoping their first use case. Others already have tools in the wild and need governance around them, or want a specific gap closed. Secure AI meets you where you are. Wherever you enter, the through-line is the same: the four control layers become the governed foundation under your AI, and everything else builds on top of it.
Secure AI is the enablement engine inside Abacus’ Managed AI Services, our approach to running AI as an ongoing capability rather than a one-time launch. The four pillars work as a cycle, and one accountable partner keeps them turning together instead of leaving you to stitch point solutions into a program.
Why Abacus for Secure AI
One Accountable Partner
Strategy through daily operation. AI governance delivered as an operational managed service inside the stack we already run for you, not a deck handed over at the door.
Built for Regulated Industries
Examiner- and audit-ready. Controls and evidence designed for the scrutiny healthcare and financial services firms face, backed by an established security and compliance practice.
Built to Keep Pace
Model-agnostic, always current. Tool-based rather than locked to one vendor, with a standing watchdog cadence tracking new tools, features, and regulations so your program does not go stale.
Get the productivity of AI without the exposure.
The Abacus AI Risk & Readiness Assessment is a common first step for many organizations because it gives a clear picture of where they are in their AI journey whether tools have already been deployed or if you are starting fresh.
Secure AI FAQ
Secure AI is Abacus’ framework for helping regulated organizations adopt AI safely. Abacus is model-agnostic and tool-based, so we recommend and secure whatever fits your environment, then govern how that AI accesses and uses your data. It is delivered as an ongoing managed service, not a product you buy off a shelf.
No. Secure AI is an Abacus service, not a product from any AI vendor. It is the configuration, controls, and governance Abacus applies on top of whichever AI tools you use. It operates for you over time, continuously securing your environment.
No. Secure AI is tool-based by design. We work across Microsoft Copilot, Claude, ChatGPT, and Google Gemini today, and match the choice to where your people already work. The framework does not depend on any one vendor, and it extends to new tools as they emerge.
Yes, as long as the proper steps are taken. Most employees at these organizations execute a mix of regulated and non-regulated work. Secure AI respects that line and applies tighter controls and human review where regulations require it. It also aligns deployments and standards to frameworks such as SEC, FINRA, SOX, HIPAA, and GDPR.
Four control layers govern it: access limited to what each user is already authorized to see, classification and data-loss prevention (DLP) enforced at the point of interaction, continuous monitoring and audits of every AI-assisted action, and deployments that stay inside your existing environment and permissions.
We address shadow AI by giving people a governed, sanctioned way to use AI and adding monitoring so usage is visible. When an approved tool works inside your normal environment, the pull toward unmanaged consumer apps drops sharply, and you gain a record of what is actually in use.
Secure AI meets you wherever you are in your AI maturity. Many organizations begin with an AI Risk & Readiness Assessment to establish a baseline, but it is a strong first step rather than a required one. If you already have tools running or know what you need, we start there instead.