

Simulate real-world attacks, not just scans
Attack SIMULATION
We simulate realistic attacks against your applications, including modern AI systems such as chatbots, agents, and LLM-powered features.

Services
0min
of breaches
start with an exploited vulnerability
0min
avg breakout time
from foothold to moving through your network
$0
average cost
tools become easier to access and deploy
Where business risk becomes real
We secure the environments where cyber risk turns into real business impact: where regulation applies pressure, operations cannot fail, systems evolve rapidly, and customer trust is constantly tested
Trust is the attack surface. These environments concentrate exposure in user interactions, data, and transactions, making them constant targets for fraud, abuse, and account compromise.

External pressure defines the agenda: regulation, audits, and accountability. Organizations are expected to prove not only compliance, but their ability to withstand disruption under frameworks like DORA and NIS2 Directive.
When systems fail, operations stop. These environments depend on tightly coupled IT and OT systems where a single incident can disrupt production, logistics, or service delivery.
Security challenges scale with every release. Rapid development, changing architectures, and growing dependencies continuously reshape the attack surface.
Trust is the attack surface. These environments concentrate exposure in user interactions, data, and transactions, making them constant targets for fraud, abuse, and account compromise.
We turn simulated attacks into clear decisions, ensuring your applications, AI systems, and data hold up against real adversaries
How this helps your organization
We adapt our cybersecurity strategies to meet the specific demands of this industry
Test real-world attack scenarios across applications and AI systems
We assess both classic attack paths and AI-specific threats such as prompt injection, data leakage, and model abuse. This ensures your testing reflects how modern systems are actually targeted.
Identify how attackers can exploit AI behavior and integrations
AI systems introduce new risks through their interaction with data, tools, and users. We analyze how these behaviors can be manipulated to bypass controls or expose sensitive information.
Uncover full attack paths: from entry point to business impact
We demonstrate how vulnerabilities, whether in traditional systems or AI components, can be chained together. This gives you a clear view of real- world impact, not isolated findings.
Helpful resources
AI Challenges for CISOs
Balancing Innovation, Security, and Privacy.
January 3, 2025
Navigating the Digital Divide
Understanding the Nuances between IT and OT Security.
February 5, 2024
DHIS2 SIEM automation
Helpful resources
Why You Must Red Team AI Agents Before Attackers Do
22 sept 2026
Stolen Credentials, No MFA: How Cloud Breaches Really Happen
12 nov 2024
Citrix Bleed Exposes MFA Gaps and $445M Breach Risks Test Attack Chains Now
30 ene 2024
Helpful resources
Why You Must Red Team AI Agents Before Attackers Do
22 sept 2026
Stolen Credentials, No MFA: How Cloud Breaches Really Happen
12 nov 2024
Citrix Bleed Exposes MFA Gaps and $445M Breach Risks Test Attack Chains Now
30 ene 2024
Helpful resources
Why You Must Red Team AI Agents Before Attackers Do
22 sept 2026
Stolen Credentials, No MFA: How Cloud Breaches Really Happen
12 nov 2024
Citrix Bleed Exposes MFA Gaps and $445M Breach Risks Test Attack Chains Now
30 ene 2024
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Services
Attack Surface Review
Attack Simulation
Compliance Gap Review
Security Baseline
Security Architecture
Security Operations Oversight
Virtual CISO
Security Risk & Decision Management
Security Certification Program
Resources
Insights
Blog / news
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Resources
We bring clarity to cybersecurity, helping organizations navigate complexity, make confident decisions and innovate with confidence.
We bring clarity to cybersecurity, helping organizations navigate complexity, make confident decisions and innovate with confidence.




