Control Risks enhanced cyber threat intelligence (CTI) by integrating analysis of AI-driven threats, enabling improved visibility of emerging risks and strengthening decision-making across global energy operations.
When AI-driven threats outpace traditional intelligence
A global energy company wanted to protect its global operations and clients, with emerging technologies, particularly artificial intelligence, reshaping the threat landscape.
Traditional cyber threat intelligence providers were not fully capturing the evolving capabilities of threat actors leveraging AI. The organisation needed a more forward-looking threat intelligence capability that could incorporate AI-driven risks, anticipate attacker behaviour and provide actionable insights aligned to its operational and client environments.
How AI-focused analysis and frameworks enhance threat intelligence
Control Risks delivered an enhanced CTI capability, embedding AI considerations into the client’s existing threat assessment framework:
- Conducting a comprehensive threat assessment incorporating AI-driven threat actor capabilities and evolving tactics.
- Expanding intelligence analysis to include AI-enabled attack vectors, such as automated reconnaissance, social engineering and code generation.
- Introducing the MITRE ATLAS™ framework into threat assessments to provide structured analysis of adversarial techniques for targeting AI systems.
- Mapping relevant AI threat scenarios to the client’s critical assets, operations and client exposures.
- Integrating continuous intelligence updates to ensure evolving AI-related threats were captured and assessed.
- Delivering targeted briefings and insights to support decision-making across security and operational teams.
Getting ahead of emerging threats and adversary behaviour
The enhanced approach provided clarity on how AI is actively changing the threat landscape, moving beyond traditional cyber risk assessments.
The client gained improved visibility of emerging AI-enabled threats and a more structured understanding of adversary behaviour. Threat assessments became more forward-looking, allowing teams to identify and prioritise risks to critical operations and client engagements.
Security and risk teams were better equipped to respond to evolving threats, with intelligence directly aligned to operational priorities and asset exposure.
Building capability to anticipate next-generation threats
By embedding AI considerations into CTI, the client strengthened its ability to anticipate and respond to next-generation threats.
The integration of frameworks such as MITRE ATLAS™ established a repeatable and scalable approach to assessing AI-driven risks. This enhanced organisational resilience, improved alignment between intelligence and operations and increased confidence in managing emerging technologies.
The organisation is now better positioned to protect its people, assets and client engagements, while adapting its security approach to keep pace with the rapid evolution of AI-enabled threats.