Infosec and AI: Finding the Balance

Many organisations in the Third and Public sectors are aiming to counter the harder economic climate, with the greater operational efficiencies offered by emerging technologies. But this is not without its own set of challenges, particularly in managing information security (Infosec), whilst harnessing the power of artificial intelligence (AI). Adam Dustagheer from Datnexa and Anthony Fawkes from Actually Data Analytics, offer valuable insights into the critical intersection between technology and governance, based on their real-world experiences delivering complex projects in these sectors.

The Growing Importance of Infosec

Local Authorities and Third sector organisations handle vast amounts of sensitive data, making them prime targets for cyber-attacks. As Dustagheer points out, ‘the digital transformation of public services has exponentially increased the volume of data processed by local authorities, necessitating robust information security measures’.

As organisations continue to embrace digital transformation, the intersection of information security and AI will become increasingly important. Dustagheer states, ‘by adopting a proactive approach to information security and leveraging AI responsibly, organisations can enhance their resilience against cyber threats, whilst improving service delivery’.

Dustagheer and Fawkes identify three areas of Infosec risk for organisations using AI:

• Personal data protection: Safeguarding citizens' information from unauthorised    

access and breaches

• Critical infrastructure security: Protecting essential services from cyber threats

• Compliance with regulations: Adhering to GDPR and other data protection laws.

AI: A Double-Edged Sword

AI presents both opportunities and challenges for Infosec. Fawkes emphasises, ‘AI can be a powerful tool for enhancing cybersecurity, but it also introduces new vulnerabilities that organisations must address’.

• Benefits of AI in Information Security:

1. Threat detection: AI algorithms can identify and respond to cyber threats in real-

time

2. Anomaly detection: Machine learning models can spot unusual patterns in data

access and usage

3. Automated patch management: AI can prioritise and apply security updates more

efficiently.

• Challenges posed by AI:

1. AI-powered attacks: Cybercriminals can use AI to create more sophisticated and

targeted threats

2. Data privacy concerns: AI systems require large datasets, which may include

sensitive information

3. Algorithmic bias: AI models may perpetuate or amplify existing biases in data.

Strategies for Effective Implementation

To navigate the complex landscape of information security and AI, Dustagheer and Fawkes recommend the following actions:

1. Develop a comprehensive security framework: Integrate AI into existing security

protocols and policies

2. Invest in staff training: Ensure employees understand the risks and benefits of AI

in information security

3. Collaborate with experts: Partner with cybersecurity firms and AI specialists to

stay ahead of emerging threats

4. Implement ethical AI practices: Develop guidelines for responsible AI use that

prioritise data protection and privacy

5. Regular audits and assessments: Continuously evaluate the effectiveness of AI-

powered security measures.

Fawkes adds, ‘cybersecurity doesn’t have to be an impossible challenge. The Confidentiality, Integrity, and Availability (CIA) Triad provides a straightforward way to approach Infosec challenges. By taking small steps, collaborating early and making security a shared responsibility, organisations can significantly reduce their risks while still fostering innovation’.

The Road Ahead

By staying informed about the latest developments in AI and Infosec, local authorities and third sector organisations can better protect their digital assets and maintain public trust in an increasingly connected world.