AI Trust Services · AINDaaS · Powered by CyberTix AI

AI Native Defense as a Service for AI Runtime Security

AI cuts both ways. Your defenses don't.

Secure Your AI: Your Generative AI Security Platform Has a Gap. Fix It with Real-Time Runtime Protection.

2Service packs: secure your AI, defend against AI attacks
10AI-attack classes covered under Pack B
3Delivery models: self-managed, co-managed, MXDR
24x7SOC coverage available under fully managed MXDR
The Problem

Why Enterprises Need AI Runtime Security for Both Sides of AI Risk

Enterprises must secure the AI they build and defend against the AI used against them. These are not two separate problems that happen to share a budget line. The same underlying shift, AI acting at machine speed with real access to systems and people, creates exposure on both sides of the business at once. A defense built for only one side leaves the other open.

01

Attacks on Your AI

Prompt injection, RAG poisoning, agent abuse and data leakage target the systems you run. Every model, pipeline and agent your teams ship is a new place an attacker can push on.

02

AI-Powered Attackers

Flawless AI phishing and BEC, deepfake executives on video calls, polymorphic malware that rewrites itself past signature-based tools, and autonomous intrusions that do not wait for a human operator.

03

Machine Speed vs. Human Pace

AI-scaled campaigns can move in minutes. A response process built around ticket queues and shift handoffs may still be opening the ticket after the loss has already happened.

04

No Evidence, No Audit Trail

Without AI-aware telemetry, there is no defensible record of what your AI did or what the attacker's AI did to it. When someone asks for the timeline, there is not one.

AI Native Defense Delivered as a Service

Trusted AI, trusted by industry leaders. Platform-run, continuous and outcome-driven.

AI Native Defense as a Service is a managed AI runtime security service that enforces runtime guardrails on your AI systems, detects and contains AI-native and AI-powered attacks, and retunes those protections continuously as your AI estate and attacker tooling change. Cygeniq operates the service at the level you choose.

Platform-Run

CyberTix AI enforces guardrails, detects attacks and contains incidents directly, with Cygeniq experts operating it as you choose rather than leaving your team to run the console alone.

Continuous

Protections, detections and simulations are retuned as your AI estate changes and as attackers' tooling changes with it. A guardrail tuned once against last quarter's attack patterns is already behind.

Outcome-Driven

Fewer incidents, faster detection and response, and lower fraud loss, backed by audit-ready evidence rather than a dashboard nobody checks until something goes wrong.

Coverage

Two AI Runtime Security Service Packs, One Defense

Safeguard AI applications, sensitive data, models, agents and the enterprise attack surface. Pack A protects the AI you built. Pack B defends the organization against AI built by someone else and aimed at you. Most enterprises need both because exposure runs in both directions at once.

Secure the AI You Run

Pack A

Shadow AI discovery, AI posture and AI BOM, a prompt injection firewall, data and egress guard, RAG integrity checks, and an agent action firewall that governs what an autonomous agent is actually allowed to do.

Detect and Assure

Pack A

AI threat detection, AI-native telemetry, automated containment, continuous red teaming and assurance reporting, so the protections in place are being tested, not just deployed once and trusted.

Defend Against Weaponized AI

Pack B

Deepfake and impersonation detection, AI phishing and BEC defense, and shielding against polymorphic malware and exploit tooling built to evade static, signature-based defenses.

Respond and Fortify

Pack B

Account takeover defense, machine-speed containment coordinated across SOAR, EDR and IAM, and continuous attack simulation to confirm the response actually triggers before a real incident tests it.

Delivery Models

Choose Your AI Runtime Security Delivery Model: Self-Managed, Co-Managed or MXDR

Safe adoption across cloud environments and every workflow. Not every security team wants the same level of operational support, and not every team has the headcount to run AI defense alone. AINDaaS is delivered at the level that matches your team's capacity.

1

Self-Managed

Console and API access, with your team operating detections and handling response directly.

2

Co-Managed

Cygeniq tunes detections and guardrails alongside your team, with joint escalation when something needs a decision.

3

Fully Managed MXDR

The Cygeniq SOC runs 24x7 detection, response and hunting, so nothing waits on your team's shift schedule.

Engagement Model

Deploy Once, Standardize and Protect Every AI Deployment Continuously

Stay compliant across the AI lifecycle, including Financial Services, Healthcare and Supply Chain environments. The work of connecting AINDaaS to your environment happens once. What runs continuously after that is protection on every individual AI asset, not a fresh integration project every time something new ships.

Layer 1Organization

Organization

Estate discovery, integration with your existing SIEM, SOAR, IdP and EDR, a guardrail baseline and detection engineering, all deployed once at the organizational level so nothing needs to be rebuilt per asset.

Layer 2Asset Type

Asset Type

Guardrail, detection and playbook templates built specifically for LLM, RAG and agentic AI, plus enterprise defense modules for the AI-powered attacks aimed at your people rather than your models.

Layer 3Individual Asset

Individual Asset

Every protected AI asset runs under inline guardrails, detection and containment as an annual subscription, so protection stays live on that asset for as long as it stays in production.

Transparent pricing: Pack A is priced per protected AI asset by asset type and complexity. Pack B is priced by organization size. Volume tiers, a Pack A plus B bundle and a 3-year rate lock are available. Specific rate cards are shared under NDA after a scoping workshop.

Standards & Integrations

Map AI Runtime Security Controls to OWASP, MITRE ATLAS and Audit Evidence

Named protection for named risk, mapped to evidence. A framework reference is only useful if you can point to the specific control that satisfies it. Every OWASP Top 10 for LLM Applications risk, LLM01 through LLM10, maps to a named CyberTix AI protection, alongside OWASP agentic AI risks and MITRE ATLAS. Pack B is built around ten distinct AI-attack classes, from AI phishing and deepfakes to autonomous attacks and attacker-AI intelligence. Runtime telemetry from both packs becomes audit-ready evidence inside GRCortex AI, so the same protection that stopped an attack is also the record that proves it happened and was handled.

Frameworks Referenced
OWASP Top 10 for LLM Applications (LLM01-LLM10) OWASP Agentic AI Risks MITRE ATLAS

Pack B Attack Classes

Ten AI-attack classes are covered, spanning AI phishing and deepfakes through to autonomous attacks and attacker AI intelligence.

Runtime telemetry from both packs becomes audit-ready evidence inside GRCortex AI.

Outcomes

Real-Time Security Visibility Across Your AI Security Platform

Faster MTTD and MTTR, lower fraud loss and one measurable AI-risk picture.

AI protected at runtime
Faster MTTD and MTTR
Lower fraud and impersonation loss
Works with your existing SOC tools
One AI-risk picture
Audit-ready evidence
Why Cygeniq

Purpose-Built AI Native Defense and AI Agent Security, From Pilot to Production

Built on one platform, not a stack of point solutions.

01

Unified Runtime AI Trust Platform

Security, runtime defense and governance run on one platform, not point tools.

02

Continuous, Not Point-in-Time

Testing, runtime protection and control evidence combine for always-current assurance.

03

Deep Regulatory Expertise

Fluent across OWASP, MITRE ATLAS, ISO/IEC 42001, NIST AI RMF and the EU AI Act.

04

Professional Services Depth

Specialists across LLM, RAG and agentic AI, delivered from the Cygeniq AI Delivery Center.

05

Scales With Your Estate

One classification, one rate card, one refresh cycle. The model grows with the AI you run.

Get Started

Start With a Scoping Workshop to Understand Your AI Runtime Security Posture

Cygeniq classifies your AI estate, sizes the protection scope Pack A and Pack B would actually need to cover, and plans a 90-day pilot against your highest-risk applications and attack surface, the places where an incident would cost the most if it went undetected.

Start with a Scoping Workshop

Frequently Asked Questions

AI native defense is security built specifically for how AI systems and AI-powered attacks actually behave, rather than traditional tooling adapted after the fact. It covers runtime protection for LLMs, RAG pipelines and agentic AI, and detection of AI-powered attacks such as deepfakes, AI phishing and polymorphic malware, in one operating model.
Prompt injection protection inspects prompts and retrieved content for manipulation attempts before they reach the model, and inspects outputs and agent actions before they execute, closing the two points where an injected instruction could otherwise take effect.
Yes. Pack B includes deepfake and impersonation detection alongside AI phishing and BEC defense, covering AI-powered attacks aimed at people and processes rather than at the AI systems themselves.
MXDR, managed extended detection and response, is the fully managed delivery model under AINDaaS, where the Cygeniq SOC runs detection, response and hunting around the clock, rather than your own team operating the console directly.
Yes. AINDaaS integrates with your existing SIEM, SOAR, IdP and EDR at the organizational deployment layer, and Pack B's response and fortify capabilities coordinate machine-speed containment across those same tools rather than replacing them.

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