Technical Content on AI and Cybersecurity
Budget: £20 – £250 GBP
What I'm after is a 30 mins presentation.
All i need from your side is content for the slides Only. Don't worry about designs etc.
Around 20-22 slide to cover 30 mins presentation.
Topic: Cybersecurity in world of AI
Here's outline of presentation:
- 1- Introduction: The AI-Cyber Nexus Impact of AI on traditional security models AI in both offensive and defensive cyber applications
- 2 - New Threat Landscape AI-generated phishing and social engineering Deepfakes and misinformation campaigns AI-accelerated malware and exploitation LLM misuse in code generation and attack automation
- 3 - Cyber Strategy Adaptation Risk assessment for AI systems (models, data, APIs) Secure MLOps and model lifecycle management Adversarial ML and model robustness Data provenance and integrity controls
- 4 - AI for Cyber Defense AI in intrusion detection and behavior analytics Automation in SOC workflows and threat hunting Machine learning for anomaly detection Predictive modeling in risk scoring
- 5 - Governance, Policy & Ethics Explainability, transparency, and trust in AI Regulatory frameworks: NIST AI RMF, EU AI Act Cross-disciplinary teams for secure AI deployment
All i need from your side is content for the slides Only. Don't worry about designs etc.
Around 20-22 slide to cover 30 mins presentation.
Topic: Cybersecurity in world of AI
Here's outline of presentation:
- 1- Introduction: The AI-Cyber Nexus Impact of AI on traditional security models AI in both offensive and defensive cyber applications
- 2 - New Threat Landscape AI-generated phishing and social engineering Deepfakes and misinformation campaigns AI-accelerated malware and exploitation LLM misuse in code generation and attack automation
- 3 - Cyber Strategy Adaptation Risk assessment for AI systems (models, data, APIs) Secure MLOps and model lifecycle management Adversarial ML and model robustness Data provenance and integrity controls
- 4 - AI for Cyber Defense AI in intrusion detection and behavior analytics Automation in SOC workflows and threat hunting Machine learning for anomaly detection Predictive modeling in risk scoring
- 5 - Governance, Policy & Ethics Explainability, transparency, and trust in AI Regulatory frameworks: NIST AI RMF, EU AI Act Cross-disciplinary teams for secure AI deployment