CYBER SE<TOR
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AI-Powered / Adversarial Cyber Defense

Break your AI
before attackers do.

Cyber Sector is an adversarial cybersecurity company focused on protecting modern AI ecosystems. We help organizations understand how their systems can be attacked today across models, agents, infrastructure, APIs, and data pipelines — and how to build continuous, intelligent defense for tomorrow.

↓ Explore Your Exposure
AI Red Team Operations
AI Secure Architecture
Governance & Compliance
AI SOC & Monitoring

Cyber Sector protects the entire AI ecosystem:
Models • Data • Agents • Infrastructure • APIs • MLOps Pipelines • Integrations • OT Environments with AI
Traditional cybersecurity controls were not designed for this attack surface.

Company

Who We Are

Cyber Sector is an AI-powered adversarial cybersecurity company.

We help organizations understand how they can be attacked today across traditional infrastructure and artificial intelligence systems — and how to build continuous, intelligent defense for tomorrow.

Ex IBM X-Force Red

Red Team operations for Fortune 500 environments.

Adversarial LLM & AI Security

AI Threat Modeling and LLM Security Assessments.

AI-Driven Simulation

Offensive Security Automation and Exploit Research.

Continuous Exposure Analysis

Threat Intelligence Correlation and proactive defense.

Cyber Sector is not theoretical consulting.

Red Team first
Offensive AI security
Adversarial LLM specialists
Secure-by-design architects

“We try to break your AI before a real attacker does.”

— Cyber Sector

The Mirror

Do you know how exposed your AI systems really are?

Your infrastructure may be monitored. Your perimeter may be hardened. But your AI models, RAG pipelines, and autonomous agents? They face an entirely new class of attack surface that traditional controls were never designed to address.

The question is not whether you use AI. It's whether that AI can be abused, manipulated, or weaponized against you.

“Traditional controls were not designed for this attack surface.”

Prompt Injection
Model Inversion
Data Poisoning
Embedding Leakage
Agent Over-Privilege
AI Supply Chain
Jailbreaking
Adversarial ML
>_INTERACTIVE RISK CONSOLE

Simulate Your Exposure

Adjust enterprise risk variables to calculate your real-time adversarial exposure score and projected financial impact.

risk_simulator.sh
Exposed API Endpoints
31%

Percentage of publicly accessible AI endpoints

LLM Guardrail Coverage
61%

Fraction of inputs passing through prompt filters

Data Sensitivity Level
7/10

Classification level of data accessible by AI agents

Patch Deployment Lag
27d

Average days between vulnerability discovery and patch

Agent Autonomy Level
6/10

Degree of autonomous action agents can take

>_SYSTEM LOG
44EXPOSURE SCORE
MODERATE
$18.0MBREACH COST EST.
31hDOWNTIME RISK
47%ATTACK PROBABILITY
MODERATE — RECOMMENDED ACTIONS
  • Maintain continuous monitoring protocols
  • Run bi-weekly automated red-team simulations
Deploy Security Controls
Assessment

AI Adoption & Risk Perimeter

Evaluate your organization's readiness to adopt and secure AI ecosystems against adversarial threats.

01.How mature is your AI/ML deployment?

No AI in production
Experimenting with AI
AI in production (limited)
AI-native operations

02.Do you adversarially test your AI systems?

Never
Only initial assessment
Periodic testing
Continuous adversarial testing

03.Can your SOC detect AI-specific threats?

No AI-specific detection
Basic logging only
Some AI telemetry
AI-aware SOC with playbooks

04.How often do you conduct AI Red Team Engagements?

Never
Once a year
Quarterly
Continuous
Solutions

AI Threats & Cyber Sector Security Solutions

Program

Cyber Defense Program

Integrated AI-powered cyber defense program combining Cyber Sector's full security stack to continuously assess, simulate, and defend modern AI infrastructures.

Continuous adversarial validation and complete platform integration.

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Red Team

AI Red Team Operations

Adversarial testing of AI systems including prompt injection, data exfiltration simulation, and targeted model attacks.

Validated resilience against LLM and agentic exploits.

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Architecture

AI Secure Architecture

Design and implementation of secure MLOps pipelines and hardened AI architectures, including RAG security and secure deployment patterns.

Architecture that withstands adversarial pressure from day one.

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Governance

Governance & Compliance

AI risk governance aligned with EU AI Act, ISO 42001, and enterprise regulatory frameworks.

Compliant, documented, and audit-ready AI governance posture.

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SOC

AI SOC & Monitoring

Continuous monitoring for AI-specific threats with model telemetry, anomaly detection, and attack identification.

Real-time visibility into AI-specific threats and anomalies.

Learn more →
Platform

Platform Components

Cyber Sector is evolving its operational adversarial knowledge into modular platform capabilities that support continuous AI security.

AI Engine

BlackCore

Internal AI security engine and telemetry foundation that powers Cyber Sector's long-term platform vision.

  • Core security engine
  • Telemetry foundation
  • Adversarial automation
  • Model behavior tracking
Component detail ↓
Threat Intel

CTIF

Threat intelligence correlation capability used to enrich adversarial context, indicators, and operational visibility.

  • Adversarial context enrichment
  • Indicator correlation
  • Operational visibility
  • Real-time threat feeds
Component detail ↓
Exposure Analysis

RedLine

Exposure analysis and attack-path-oriented capability focused on attack surface understanding, vulnerability prioritization, and offensive mapping.

  • Attack surface understanding
  • Vulnerability prioritization
  • Offensive mapping
  • Continuous validation
Component detail ↓
Adversarial AI Command Infrastructure

Neural C2

Adversarial command-and-control infrastructure used to orchestrate offensive AI security simulations, threat emulation, and adversarial testing environments.

  • Offensive orchestration
  • Threat emulation
  • C2 infrastructure
  • Adversarial testing
Component detail ↓
Framework

VORTEX Adversarial Security Framework

VORTEX is Cyber Sector’s proprietary adversarial AI security testing framework. It is our internal methodology used to conduct AI security testing, transforming technical attack paths into clear business security decisions.

01

Preparation

Define scope, identify critical assets, including AI models, data pipelines, and infrastructure.

02

Scenario Design

Map realistic attack paths targeting infrastructure, applications, and AI systems.

03

Controlled Offensive Execution

Simulate adversarial activity including AI red teaming, prompt injection testing, and model exploitation.

04

Continuous Improvement

Translate findings into strategic remediation and continuous resilience improvement.

Clear visibility into AI risk exposure
Continuous resilience against adversarial AI threats
Identification of real attack paths
Executive-level insight into security priorities

Our proprietary methodology aligns with globally recognized standards:

NIST AI RMFISO 42001OWASPEU AI ActGDPR
Industries & Critical Environments

Who We Protect

Cyber Sector protects organizations operating critical AI environments across multiple sectors. Our focus is organizations deploying AI in regulated, mission-critical, or high-risk environments.

Banking & Fintech
Healthcare
Manufacturing (IT/OT)
E-commerce
Telecom
Government
Energy
AI-Native Startups

Understand Your AI ExposureBefore Attackers Do

Cyber Sector works with enterprises, startups, and public sector organizations building or operating AI systems. Contact us to evaluate your AI security posture, adversarial risk exposure, and defensive readiness.

Florida, USA • Serving US + LATAM • Remote delivery available.