Artificial intelligence is reshaping cybersecurity by making attacks faster, more automated and increasingly difficult to contain. As a result, cyber resilience is emerging as a key priority for enterprises that need to keep critical operations running even when prevention measures fail.
Ananth Nag, Vice President, APAC at Rubrik, argues that organisations can no longer rely solely on prevention, detection and remediation. AI-powered attackers can automate reconnaissance, identify vulnerabilities and exploit weaknesses at a speed that gives security teams far less time to respond.
Why cyber resilience matters
For years, cybersecurity strategies focused heavily on preventing attacks and containing breaches. But increasingly complex IT environments now span cloud platforms, applications, identities, endpoints and large volumes of business data.
In such environments, restoring a single application may not be enough to bring a company back online. Enterprises need recovery plans that can restore identities, infrastructure, applications and data in the correct sequence while ensuring that compromised systems or malware are not reintroduced.
This is pushing organisations to treat recovery as part of business continuity rather than simply a backup function.
AI changes both attacks and defence
AI is not only accelerating cyber threats. It is also creating new opportunities for defenders.
Security teams can use AI to analyse large amounts of security data, identify anomalies, prioritise threats and automate repetitive response tasks. However, integrating these capabilities into legacy infrastructure and complex enterprise environments will require investment and operational maturity.
Nag also points towards the emergence of autonomous “resilience agents” that could coordinate recovery processes with minimal human intervention. Such systems could potentially restore critical applications, infrastructure, identities and data rapidly after a cyber incident.
Recovery becomes a boardroom issue
The growing emphasis on cyber resilience reflects a broader shift in how organisations view cybersecurity. A successful attack can disrupt operations, revenue, customer trust and reputation, making recovery speed a business concern rather than only an IT metric.
Prevention remains important, but enterprises are increasingly preparing for the possibility that an attack may succeed. Regular recovery testing, clean recovery points and automated response systems can help organisations respond more effectively when incidents occur.
As AI continues to accelerate both cyberattacks and defensive capabilities, cyber resilience is becoming an increasingly important part of enterprise risk management.
Related Link: Rubrik
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