Data and AI Security Services for AI-First Companies
Move beyond fragmented tools. Get enterprise-grade, managed data and AI security solutions tailored for AI-driven companies. We assess, implement, and monitor so you can innovate safely.
AI Security Gaps Legacy Tools Usually Miss
Enterprise AI creates data and model-layer attack surfaces that traditional security tools were never designed to detect, classify, or remediate.
Data Poisoning via LLMs
LLMs memorize sensitive training data and surface it in outputs, leaking PII, IP, and confidential context to unauthorized users at scale.
RAG Pipeline Exposure
Misconfigured retrieval layers let your LLM surface confidential documents and internal records to users who lack the authorization to access them.
Agentic Identity Sprawl
AI agents and service accounts accumulate unchecked permissions over time, creating an invisible identity layer your IAM tools were never built to govern.
Model Manipulation
Adversarial inputs override your LLM's system prompt, causing it to leak data or execute unauthorized actions inside your live AI workflows.
Our Managed Data and AI Security Services Stack
AI Data Security Assessment
We map your entire AI data estate, classify sensitive assets, score your risk posture, and deliver a prioritized remediation roadmap within two weeks.
AI Data Security Implementation
We configure LLM firewalls, access controls, data masking, and pipeline guardrails across your cloud and on-premises AI infrastructure without slowing your engineers down.
24/7 Managed Detection and Response
Our security team monitors your AI environment continuously, triages alerts, responds to active threats, and delivers monthly executive reports on your security posture.
From Assessment to Active Defense in 30 Days
From your first call to active 24/7 monitoring in four structured weeks. Here is exactly what happens at each stage.
Kickoff and Discovery
We get access to your cloud and AI pipelines, sign all BAAs and NDAs, and define your risk scope and success criteria together.
Automated Scanning and Mapping
Our proprietary scanning tools and curated open-source stack map your data assets, identity risks, and AI pipeline vulnerabilities across every connected environment.
Policy and Control Implementation
We configure LLM firewalls, tighten access controls, apply data masking policies, and deploy monitoring rules tuned to your specific AI stack and threat model.
Handoff and 24/7 Monitoring
You receive portal access to your real-time security dashboard, and our team begins active around-the-clock monitoring with a monthly business review scheduled from day one.
Case Studies
Protecting Slack Data in AI Workflows
A B2B SaaS company's AI copilot was routing employee Slack messages through an LLM with no data boundary controls, output filtering, or access governance in place.
Outcomes
- Eliminated PII leakage
- Reduced unauthorized data access incidents to zero
- Achieved SOC 2 Type II compliance
Securing Patient Summarization With HIPAA Controls
A HealthTech startup's patient summarization model was processing PHI without signed BAAs, audit logging, or role-based access controls, creating material HIPAA liability.
Outcomes
- Deployed PHI-aware data classification and RBAC.
- Established a complete, queryable audit trail.
- Passed a HIPAA security review with zero critical findings.
Security That Works for Your Entire Team
| Factor | Demerits of not having it | Merits |
|---|---|---|
| CISO / Head of Security | Higher compliance risk, weaker oversight of third-party exposure, and poor visibility into security posture. | Meet compliance requirements across the EU AI Act and the NIST AI RMF. Reduce third-party risk. Get a real-time dashboard of your managed security posture. |
| VP Engineering / CTO | Security becomes a bottleneck, releases slow down, and vulnerabilities may be caught too late. | Security is embedded into your CI/CD pipeline for AI models with no slowdowns. Works across Python, TensorFlow, PyTorch, and LangChain. |
| CEO / Founder | There is a greater chance of.reputational damage, lost customer trust, and reduced investor confidence after a breach. | Protect your valuation. Prevent breaches that erode customer trust. Turn secure AI into a competitive advantage investors can verify. |
Stop Guessing About AI Data Security. Get a Trusted Partner.
Join the AI-first companies that trust Folio3 AI to secure their most valuable asset: their data and their models.
Frequently Asked Questions
Q1: What are data and AI security services?
Data and AI security services protect the data your AI models train on, process, and produce, covering classification, access control, monitoring, and compliance across your full AI stack. Unlike traditional data security, they address AI-specific risks such as LLM leakage, RAG misconfiguration, and agentic identity sprawl.
Q2: How is this different from using Varonis or Symmetry Systems directly?
Varonis and Symmetry sell software platforms; you still need an internal team to configure, monitor, and respond to findings. We provide the team, the tooling, and the ongoing management as a fully managed service so your engineers can stay focused on building.
Q3: Do you support on-premises AI models or air-gapped environments?
Yes. We work across cloud, hybrid, and air-gapped environments. Our assessment and implementation process is fully adapted for on-premises LLM deployments, with no proprietary data leaving your perimeter at any stage.
Q4: What compliance frameworks do you cover?
We cover SOC 2, ISO 27001, HIPAA, GDPR, NIST AI RMF, and the EU AI Act. Every assessment maps findings directly to the specific controls required under the frameworks most relevant to your business and market.
Q5: How long until we see value from your managed services?
Most clients have a full risk assessment and initial controls deployed within 30 days. Threat monitoring begins in week four, so active protection is in place before the end of your first month. Most clients identify at least one critical risk during the assessment alone.
Q6: Do you secure both custom-built AI models and third-party LLM APIs like OpenAI or Anthropic?
Yes. For third-party APIs, we implement prompt firewalls, output filtering, and API key governance. For custom-built models, we add training data controls, model access policies, and inference-layer monitoring as part of the same managed service.
Q7: What is included in your managed service beyond the software platform?
You get a dedicated security analyst, real-time threat triage, monthly executive reporting, policy updates as your AI stack evolves, and direct escalation support with a four-hour response SLA. No platform license to manage separately.
Q8: Can you help us pass a SOC 2 or ISO audit specifically for our AI features?
Yes. We map your AI security controls to SOC 2 Trust Service Criteria and ISO 27001 Annex A, prepare all required evidence documentation, and work directly alongside your auditors throughout the review process.
