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Secure & Comply

AI Security Assessment

GenAI features and autonomous agents ship faster than anyone can review them, and traditional AppSec can't see the risk. Neo, our AI Control Architecture, wraps your AI in guardrails, governance and continuous monitoring, so you can prove it's safe and compliant without slowing releases.

The Reality

Why AI Adoption Outruns AI Governance

Copilots, chatbots and agents are already in daily use. The proof that they're safe is not.

Nobody can prove the AI is safe

Copilots and agents are in daily use, but there's no documented answer the moment the board or an auditor asks.

Traditional AppSec can't see it

Prompt injection, data leaking through retrieval context and unvetted third-party models slip past tools built for a different threat model.

Agents act with no defined limits

Autonomous access with no boundary is one bad prompt away from cascading a bad decision across your systems.

AI has entered your audit scope

Assessors now ask about model risk and data lineage, and producing that evidence becomes a six-week scramble.

Nobody monitors the model at runtime

Drift, data leakage and misuse go unnoticed because observability stops at the API gateway.

The policy exists, enforcement doesn't

Usage rules are written down, but nothing stops an unreviewed model or agent going live.

What Neo Delivers

Guardrails, Governance and Proof, Not a Checkbox

Neo turns "we think it's fine" into a documented, defensible position, mapped to the tools you already run. No new stack to buy.

Risk Assessment

Describe any AI use case and get a clear risk rating and a decision you can defend to your board and auditors, with the few things worth fixing first.

Guardrails

Prompt-injection defense, output filtering and PII redaction applied at inference time, not after the fact, mapped to the tools you already own.

Governance Policy

Model approval workflows, usage policy and acceptable-use enforcement, so nothing goes live unreviewed and the evidence is ready when anyone asks.

Agent & Supply-Chain Assurance

Scoped permissions and tool-call approval so an agent can't act beyond its remit, plus an inventory of every model and dependency you rely on.

Proof Points

Outcomes From Real-World Security Operations and Compliance Engagements

500M+Security events processed per day, in near real time
ZeroCritical or high vulnerabilities reaching production, post go-live
~24x7SOC coverage delivered with no gaps across time zones
How It Works

A Layered Defense Across Model, Data, and Agent Boundaries

One weak layer undoes the rest. We secure all four, from policy at the top down to runtime.

  1. 1

    Governance & Policy

    Model approval workflows, usage policy, and acceptable-use enforcement, so nothing goes live unreviewed.

  2. 2

    Guardrails

    Prompt-injection defense, output filtering, and PII redaction applied at inference time, not after the fact.

  3. 3

    Agent Boundaries

    Scoped permissions, tool-call approval, and hard limits on what an agent can do autonomously.

  4. 4

    Monitoring & Response

    LLM observability, anomaly detection, and full audit logging of every agent action.

Standards & Framework Alignment

AI-Native, Not General-Purpose GRC

General GRC tools were built for IT risk. Neo is built for AI specifically, covering the AI-native rules those tools don't, mapped into one control set.

OWASP LLM Top 10 · NIST AI RMF

The exact standards your customers, regulators and board already ask about.

ISO 42001 · EU AI Act

AI management-system and risk-tier obligations, caught early rather than retrofitted.

SR 11-7 · NYDFS

Model-risk and cybersecurity rigor for regulated financial-services entities.

SOC 2 · ISO 27001 · PCI DSS · HIPAA · GDPR

Existing compliance obligations mapped into the same control set.

Neo · AI Control Architecture

Prove Your AI Is Safe and Compliant

Your board, auditors and insurer are already asking whether you can prove it's safe. Neo gives you a clear risk rating, the guardrails you actually need and evidence you can defend, in plain English.

Who It's For

Where AI Security Makes a Difference

View all client success stories

Shipping GenAI Faster Than You Can Review It

Features go live before security ever sees them. We move the review into the pipeline so it stops being a bottleneck.

ASEAN Financial Services
ZeroCritical/High Vulns Reaching Production

Zero-downtime DevSecOps delivered zero critical or high vulnerabilities reaching production post go-live, with every release infrastructure-as-code provisioned and gated by SAST, DAST, and SCA.

Agents in Production With No Defined Limits

Autonomous access with no boundary is one bad prompt away from an incident. We scope it before that happens.

The Board Is Asking How You Govern AI

The question lands with no clear answer. We give you controls mapped to the standards they recognize.

AI Has Entered Your Audit Scope

Assessors now ask about model risk and data lineage. We make that evidence continuous, not a scramble.

US Enterprise
500M+Security Events Processed Per Day

A security data fabric processed 500M+ events daily in near real time across roughly 2,500 accounts on AWS, Azure, and GCP, on a cost-efficient OCSF lake with Bedrock GenAI for detection and incident summaries.

US Enterprise
12Analysts Delivering Near-24x7 Coverage

An embedded SOC, a dedicated pod of 12 analysts and a team lead, delivered near-24x7 coverage with no gaps across time zones, at a predictable cost and without the hiring overhead.

Our board kept asking how we governed the AI features we were shipping, and we didn't have a clean answer. Flentas mapped our models and agent permissions against the OWASP LLM Top 10 and NIST AI RMF in weeks, not quarters. Every model in production now got there on purpose.

CISOUS Cybersecurity Enterprise

What's Next

Where This Fits in Your Journey

One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.

You are here

AI Security Assessment

Guardrails and evidence for the AI you are putting into production.

Get Started

Find Out What Your AI Is Actually Exposing

A free AI Risk Assessment maps your models, prompt paths, agent permissions and control gaps, before an auditor or an attacker finds them first. No cost, no obligation.

  • AWS Advanced Consulting Partner
  • ISO 27001
  • SOC 2 Type II
  • Powered by Neo