Hacktonomy by CyberFrat Bring a Practical Focus to Cybersecurity Certification

As Artificial Intelligence and Machine Learning become increasingly integrated into enterprise technology, understanding how to secure these environments is becoming an important part of the cybersecurity skill set.

By CyberFrat, Hacktonomy is an Indian certification platform focused on validating cybersecurity skills through practical, industry-relevant assessments and standards. 

The platform’s flagship certification, Hacktonomy Certified AI Security Professional (HCASP), focuses on Artificial Intelligence and Machine Learning security through a foundational-to-intermediate, vendor-neutral certification designed around practical security concepts and scenario-based assessment. 

Introduction 

The growing adoption of Generative AI and Large Language Models is bringing new security considerations into enterprise software and workflows. 

For cybersecurity and IT professionals, this includes understanding areas such as LLM security, prompt attacks, AI application vulnerabilities, agentic systems, secure AI development, governance, and operational controls. 

HackTonomy’s certification offering addresses this area through HCASP, bringing together foundational AI knowledge and practical security concepts within a structured five-domain certification framework. 

What is Hacktonomy? 

HackTonomy is an Indian certification platform focused on validating cybersecurity skills through practical, industry-relevant assessments and standards. 

The platform is an initiative by CyberFrat and focuses on cybersecurity certification, with its flagship HCASP credential dedicated to AI and Machine Learning security. 

Its certification approach is vendor-neutral and designed to provide principles applicable across major LLMs, RAG pipelines, and agentic frameworks.

HCASP: Hacktonomy’s Flagship Certification 

The Hacktonomy Certified AI Security Professional (HCASP) is a foundational-to-intermediate, vendor-neutral certification designed to validate a candidate’s core understanding of Artificial Intelligence and Machine Learning security. 

The certification is designed to bridge the gap between basic IT security and practical AI vulnerability awareness as Generative AI and LLMs become increasingly integrated into enterprise software and workflows. 

HCASP covers practical security concepts including: 

• OWASP Top 10 for LLM Applications  

• Introductory red teaming  

• Agentic safety basics  

• Model Context Protocol (MCP)  

• Secure AI coding  

Operational guardrails  

What Organizations Can Learn

Five Domains of HCASP 

The HCASP examination is structured across five domains:

01 — AI Fundamentals & Architecture | 15% 

This domain covers AI and GenAI fundamentals, ML and deep-learning concepts, transformer architectures, RAG, agentic frameworks, prompt engineering, AI workflows, LLM mechanics, tokenization, context windows, vector spaces, and AI hallucinations. 

02 — AI Security & Threat Landscape | 30% 

The largest domain focuses on AI security and the threat landscape surrounding AI technologies and applications. 

03 — Secure AI Engineering & Agentic Orchestration | 20% 

This domain covers security considerations in AI engineering and agentic orchestration, including areas such as secure AI coding and autonomous agent security. 

04 — AI Risk Management, Governance & Ethics | 15% 

The domain focuses on AI risk management, governance, and ethics, including practical awareness of the NIST AI Risk Management Framework (NIST AI RMF). 

05 — AI Audit, Compliance & Operations | 20% 

The final domain addresses AI audit, compliance, and operational considerations.

Together, the five domains cover the certification’s progression from AI fundamentals and architecture through security, engineering, governance, audit, and operations. 

Built for Practitioners 

HCASP is designed around practical, scenario-based questions, with an emphasis on practical security awareness rather than simple rote memorization. 

The certification is intended for professionals looking to build or demonstrate practical AI security skills, including: 

• Cybersecurity beginners and IT professionals entering the AI security domain  
  
• Junior to mid-level penetration testers and security analysts learning GenAI vulnerability testing  
  
• Software developers and QA engineers using AI code assistants and building LLM-integrated applications  
  
• SOC analysts and incident responders monitoring LLM traffic and handling basic prompt-injection alerts  
  
• IT managers, risk officers, and compliance analysts seeking practical awareness of the NIST AI RMF and EU AI Act  

IT managers, risk officers, and compliance analysts seeking practical awareness of the NIST AI RMF and EU AI Act  

What Candidates Should Bring 

HCASP is designed to be accessible to candidates across the IT and security spectrum. 

The stated prerequisites include a basic understanding of IT security concepts, fundamental Python awareness, and basic familiarity with REST APIs. 

Candidates do not require prior expertise in advanced linear algebra, deep-learning mathematics, or model-training algorithms. 

Basic familiarity with Python, REST APIs, JSON payloads, and HTTP request structures is expected, along with an analytical mindset focused on application logic, prompt guardrails, and AI workflows.

HCASP Examination Format 

The HCASP examination uses Computerized Adaptive Testing (CAT). 

The examination includes: 

• 100 Multiple Choice Questions  
   
• 120-minute duration  
   
• Beginner-to-intermediate level  
   
• Scenario-based practical questions  
   
• 75% or higher passing score  
   
• Online, remotely proctored delivery  

The certification has an 18-month validity period, with 30 CPE credits required for renewal.

A Focus on AI Security 

HCASP brings together several areas relevant to securing modern AI environments, including LLMs, RAG pipelines, prompt attacks, autonomous agent security, MCP, secure AI coding, AI risk management, governance, audit, and operational guardrails. 

Its vendor-neutral approach is designed around security principles that apply across major LLMs, RAG pipelines, and agentic frameworks. 

The certification also provides an accessible entry point for IT and cybersecurity professionals transitioning into AI security without requiring an advanced background in ML A New Certification Focused on the AI Security Landscape 

With hackTonomy, CyberFrat is introducing an Indian certification platform focused on practical, industry-relevant cybersecurity assessment. 

Its flagship HCASP certification places Artificial Intelligence and Machine Learning security at the centre of its initial offering, combining foundational AI knowledge with security concepts across five domains. 

The certification covers the technical, engineering, governance, audit, and operational areas outlined in its curriculum, while maintaining a vendor-neutral and scenario-based approach. 

As AI and LLM technologies continue to become part of enterprise software and workflows, HCASP provides a structured certification framework for professionals seeking to build or demonstrate practical AI security knowledge. 

A New Certification Focused on the AI Security Landscape 

With HackTonomy, CyberFrat is introducing an Indian certification platform focused on practical, industry-relevant cybersecurity assessment. 

Its flagship HCASP certification places Artificial Intelligence and Machine Learning security at the centre of its initial offering, combining foundational AI knowledge with security concepts across five domains. 

The certification covers the technical, engineering, governance, audit, and operational areas outlined in its curriculum, while maintaining a vendor-neutral and scenario-based approach. 

As AI and LLM technologies continue to become part of enterprise software and workflows, HCASP provides a structured certification framework for professionals seeking to build or demonstrate practical AI security knowledge. 

Learn More About Hacktonomy 

Professionals interested in exploring hackTonomy, the HCASP curriculum, and its available learning and certification resources can learn more through the official hackTonomy’s website. 

Explore Hacktonomy: https://hackTonomy.com/ 
 
CXJ Express remains committed to delivering timely and impactful updates from the cybersecurity, AI, and enterprise technology landscape. Stay tuned for more industry news and insights. 

CXO Junction remains dedicated to providing you with exclusive insights into transformative leadership journeys. Stay tuned for more updates as we continue to bring industry news to you.