In this webinar, we examine how artificial intelligence in cyber security is changing the dynamics of the ongoing battle between defenders and attackers. As cyber threats grow in volume, sophistication, and speed, AI is emerging as an essential tool for security teams — and a powerful weapon for adversaries.

The Cybersecurity Challenge in 2025

The modern threat landscape is characterised by:

Volume: millions of threat events per day in enterprise environments, far beyond human capacity to review
Speed: sophisticated attacks can move from initial compromise to data exfiltration in minutes
Sophistication: AI-generated phishing, deepfake social engineering, and automated vulnerability exploitation
Skills shortage: the global cybersecurity workforce gap exceeds 4 million professionals

Artificial intelligence in cyber security addresses these challenges by automating threat detection, accelerating incident response, and augmenting the capabilities of security teams.

AI Applications in Cyber Defence

The webinar covers the primary AI use cases across the security operations lifecycle:

Threat Detection and SIEM Enhancement

AI dramatically improves the signal-to-noise ratio in Security Information and Event Management (SIEM) systems. Machine learning models can identify anomalous patterns — unusual login times, atypical data access volumes, lateral movement — that rule-based systems would miss.

Large language models are increasingly used to detect AI-generated phishing emails that bypass traditional signature-based filters. NLP analysis of email content, sender behaviour, and contextual anomalies provides a more robust defence.

Vulnerability Management

AI prioritises vulnerability remediation by combining exploit likelihood, asset criticality, and business context — helping security teams focus remediation effort where it matters most.

Incident Response Automation

When a security incident is detected, AI can automatically initiate containment procedures, isolate affected systems, collect forensic evidence, and notify relevant stakeholders — compressing response time from hours to minutes.

The Other Side: AI-Powered Attacks

The webinar does not shy away from the adversarial dimension. AI in cyber security is a double-edged sword:

AI-generated phishing produces highly personalised, contextually convincing attacks at industrial scale
Deepfake audio and video are being used in social engineering attacks targeting finance and executive teams
AI-assisted vulnerability discovery enables attackers to find and exploit weaknesses faster than defenders can patch them
Prompt injection attacks target AI systems themselves, attempting to manipulate AI agents into revealing sensitive information or taking unauthorised actions

Understanding the offensive use of AI is essential for building effective defences.

Conversational AI Security: Protecting AI Agents

Crafter.ai's security-by-design approach ensures that AI agents deployed in enterprise environments maintain rigorous security standards:

Input validation to detect and block prompt injection attempts
Role-based access controls limiting what information each AI agent can access
Conversation logging with tamper-proof audit trails for security review
Data minimisation ensuring AI agents only access the data they need to function

FAQ: AI in Cyber Security

Can AI fully automate security operations centre (SOC) functions? Not entirely — at least not yet. AI dramatically augments SOC efficiency and can automate many tier-1 and tier-2 responses, but complex incident investigation and strategic decision-making still require human expertise. The goal is human-AI collaboration, not full replacement.

How can companies defend against AI-powered phishing attacks? A layered defence combining AI-powered email filtering, employee awareness training (including AI threat awareness), multi-factor authentication, and zero-trust network architecture provides the strongest current defence.

What are the regulatory implications of using AI for cybersecurity monitoring? AI monitoring of employee communications and behaviour raises data protection questions under GDPR. Organisations must ensure they have a legal basis for monitoring, maintain proportionality, and inform employees appropriately.

Artificial Intelligence in Cyber Security