AI Real Risks Solutions For The Modern World.

At AI Cyber Risk Management (ACRM), we are at the forefront of leveraging advanced artificial intelligence and machine learning technologies to provide unparalleled cybersecurity solutions. Our mission is to empower organizations with robust, intelligent tools that detect, prevent, and respond to cyber threats in real-time.

To become the global leader in AI-driven cybersecurity risk management by delivering innovative solutions that protect businesses from evolving digital threats while ensuring compliance with international standards.

Easy ways to use AI tools

1

Educate IT professionals on Cyber Security risks & mitigations.

2

How does cyber attacks happen, learn some exploitation techniques.

3

How to detect an attack, learn to hunt for threats in your IT environment.

4

How to respond to an incident, learn some incident response techniques.

5

How to prioritize your mitigation efforts, learn to fix what matters to business.

How it works

01
Real Risks

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Submit your architectural diagram and discover the AI analysis results.

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Craft dedicated assistants for teams, projects, or workflows. Boost team efficiency by 90% with tailored data access for each assistant.

Write your keywords

Explain to the AI ​​what you want to write. The more details, the better output.

02
Real Risks
03
Real Risks
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Let's the AI do its magic

Our highly trained AI understands your details and generate unique and human-like content in seconds.

Benefits of using AI in
Cyber Risk Management

01

Enhanced Threat Detection

By analyzing historical data and identifying trends, AI can predict potential cyber risks before they become actual threats, allowing for proactive measures to be taken.

02

Improved Efficiency

AI-driven systems can respond to threats much faster than human operators because they operate continuously without fatigue or delays due to manual processes.

03

Reduced False Positives

AI systems improve over time as they learn from new data and threat intelligence, adapting their strategies to counter evolving cyber threats more effectively.

04

Comprehensive Risk Assessment

AI can perform detailed risk assessments by analyzing vast amounts of data across multiple sources, providing a holistic view of an organization's cybersecurity posture.

05

Strategic Insights

Advanced AI models can predict future trends in cyber threats, allowing organizations to develop preemptive strategies rather than reactive ones.

06

Conclusion

By leveraging the power of AI in Cyber Risk Management, organizations can achieve a more robust, efficient, and proactive approach to cybersecurity

Policies, Standards & Procedures

1

Policy Strategic Sets expectation

Sensitive data should be encrypted; Only authorized users can access the building.

2

Standard Tactical Dictates technical requirements

Sensitive data should be encrypted; Only authorized users can access the building.

3

Policy Strategic Sets expectation

Sensitive data should be encrypted; Only authorized users can access the building.

What needs to be done & why?

What is required to achieve the policy requirements.

How it can be achieved?

Security Standards & Frameworks [ISO]

  • ISO 27001 – Information Security Management System Requirements
  • ISO 27002 – Code of practice for Information Security Controls
  • ISO 27005 – Information Security Risk Management
  • ISO 22301 – Standard for Business Continuity Management
  • ISO 27034 – Code of practice for Application Security (Guidelines)
  • IISO 27018 – Code of practice for protection of PII (Guidelines)
  • ISO 27017 – Code of practice for Information Security Controls (Guidelines – Augments ISO 27002 for Cloud Security)
  • NIST CSF – Cyber Security Framework (ISO27001)
  • NIST 800-100 – Information Security Handbook (ISO27002)
  • NIST 800-37 – Risk Management Framework (ISO 27005)
  • NIST 800-144 – Security and Privacy in Cloud Computing (ISO 27017)
  • NIST 800-218 – Secure Software Development Framework (ISO 27034)
  • NIST 800-53 – Security & Privacy Controls for Organizations (ISO 27018)
  • NIST 800-34 – Contingency Planning for Information Systems (ISO 22301)

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