Capitalising on Zero Trust and Gen AI Capabilities for Enhanced Security Postures
Cybersecurity continues to pose a significant challenge for both individuals and organisations globally. With the increasing sophistication and frequency of cyber threats, businesses across all sectors need to continuously innovate to effectively mitigate these risks.
In the current business environment in Indonesia, the banking and financial services industry (BFSI) has become a prime target for cyber attacks due to the sensitive nature of the data and the high value of financial transactions. According to Indonesia's Financial Services Authority, cyber incidents impact the FSI nearly three times more than other industries in the country.
While the financial services industry frequently receives the most attention for cyber attacks, advancing cybersecurity is essential across all sectors, including public services, healthcare, and retail. Cyber threats are becoming more sophisticated and widespread, impacting any industry that manages sensitive data and depends on digital infrastructure.
Strong cybersecurity measures are vital for safeguarding against data breaches, financial losses, and operational disruptions, thereby ensuring the protection and integrity of information and services across various sectors.
One prominent solution to advancing security postures in the era of advanced threats is Zero Trust. In recent years, Zero Trust has gained significant traction across sectors, a recent study found that the adoption of this advanced security framework is on the rise, with more than 86% of respondents beginning the transition to Zero Trust.
The prevalent adoption of Zero Trust is mainly due to its effectiveness in mitigating sophisticated cyber threats by eliminating implicit trust and continuously verifying every access request. This approach significantly enhances security by ensuring that all users, whether inside or outside the organisation, are authenticated, authorised, and continuously validated before being granted access to critical resources.
In the context of Indonesia, the adoption of Zero Trust is particularly pertinent given the nation's track record of cyber-attacks. Implementing this security framework allows Indonesian organisations to enhance the protection of sensitive data and maintain the integrity of their digital operations. This, in turn, strengthens their overall cybersecurity posture and ensures compliance with regulatory requirements.
Furthermore, organisations in Indonesia can enhance the capabilities of Zero Trust by integrating Generative AI into the framework. This integration can improve threat detection and response times, enabling more proactive and adaptive security measures to protect sensitive data and critical systems.
In addition to enhancing the capabilities of Zero Trust, AI also streamlines the process by introducing behaviour-based user risk scoring. By analysing real-time data, AI detects unusual user behaviour, offering organisations customised security recommendations.
Despite the promising potential of Zero Trust and Generative AI, adopting these solutions is often daunting. Implementing Zero Trust and AI in large networks requires meticulous planning and coordination across multiple teams. Additionally, integrating these principles into legacy systems can be difficult due to compatibility issues, often necessitating significant upgrades or replacements.
So, how can organisations effectively implement Zero Trust and AI models to enhance their security posture? What strategies can they employ to navigate the inherent complexities?
Zero Trust Revolutionising Traditional Security Paradigms
The Zero Trust approach offers a more effective solution than traditional security methods by continuously verifying every access request rather than relying on perimeter defences. This ensures that all users and devices are authenticated and authorised, significantly reducing the risk of breaches and internal threats.
AI-Powered Zero Trust Framework
Artificial intelligence (AI) can greatly amplify the efficacy of the Zero Trust framework in bolstering security measures. By leveraging AI, a Zero Trust framework can continuously monitor and evaluate user behaviour, enhancing the identification and neutralisation of security threats. This method ensures ongoing verification and adaptable security protocols, significantly lowering the chances of unauthorised access and data breaches.
Defensive AI Protecting Organisations from Next-Gen Threats
As technology advances, the risk of AI-driven attacks has increased. To counter these threats, organisations in Indonesia can leverage AI to strengthen protection across multiple security domains, such as application security and the Zero Trust framework. This approach involves crafting customised security solutions for each client and using comprehensive attack data to train models that can detect previously unknown application threats.
The session will allow delegates to:
- IDENTIFY Zero Trust solutions tailored to the unique needs of each organisation
- SECURE cloud networks with advanced Zero Trust architecture
- LEVERAGE AI-powered Zero Trust to protect against cyberattacks and data breaches
- SIMPLIFY Zero Trust by integrating AI solutions
- HARNESS Defensive AI to secure organisations from next-gen threats
- CREATE a comprehensive strategy to safeguard sensitive data and establish robust control over infrastructures
- ADDRESS obstacles associated with the complexities of Zero Trust and AI
Who should attend:
- Chief Information Security Officers
- Chief Information Officers
- Chief Technology Officers
- Chief Data Officers
- Directors and Heads of Risk and Compliance
- Directors and Heads of IT Security
- Directors and Heads of Security Operations
- Directors and Heads of Data
- Directors and Heads of Network Operations and Engineering
- Directors and Heads of IT Infrastructure
- Directors and Heads of Cloud Architecture
- Heads of Network Architecture
- Heads of Security Architecture
- Heads of Cloud Operations
- Heads of Information Technology
- Heads of IT Security
