AI & Cyber: The Double Helix of Security Threats

  • 07 Aug 2026

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Experts have cautioned that the convergence of Artificial Intelligence (AI) and cyber threats is creating a new generation of security risks, with Agentic AI capable of identifying and exploiting zero-day vulnerabilities, challenging conventional cybersecurity frameworks.

What is the 'Double Helix' of AI and Cyber Security?

The Double Helix refers to the mutually reinforcing relationship between AI and cyber warfare, where AI enhances both offensive and defensive cyber capabilities. Unlike conventional cyber tools, AI-powered systems can autonomously detect vulnerabilities, adapt to changing environments, and execute complex cyber operations with minimal human intervention.

Key Emerging Threats

  • Agentic AI: Autonomous AI agents can independently scan networks, identify vulnerabilities, develop exploits, and launch cyberattacks without continuous human supervision.
  • Zero-Day Exploitation: AI can discover and exploit previously unknown software vulnerabilities much faster than security teams can patch them.
  • Self-Evolving Malware: AI-enabled malware can continuously modify its code to evade traditional signature-based antivirus systems.
  • Bypassing Zero Trust Systems: AI can mimic legitimate user behaviour, making identity-based security frameworks less effective.
  • AI in Warfare: AI-enabled autonomous defence systems are increasingly being used for intelligence gathering, target tracking, and missile interception.

Challenges

The rapid adoption of AI in cyberspace raises concerns over algorithmic biases, hallucinations, loss of human oversight, deepfakes, intellectual property theft, and the absence of globally accepted rules governing AI-enabled cyber operations. The growing accessibility of powerful AI models also lowers the entry barrier for cybercriminals and non-state actors.

Way Forward

  • Develop international norms and governance frameworks for AI-enabled cyber operations.
  • Upgrade cybersecurity to AI-driven Zero Trust 2.0, focusing on real-time behavioural analysis.
  • Ensure human-in-the-loop oversight for critical AI decisions in defence and cyber operations.
  • Mandate independent AI audits, red-teaming, and safety testing before deployment.
  • Strengthen public-private collaboration for real-time cyber threat intelligence sharing.

Significance

The convergence of AI and cyber technologies is transforming the nature of digital security. Building resilient cyber ecosystems will require a combination of advanced technological safeguards, human oversight, and international cooperation to ensure AI strengthens security rather than becoming a force multiplier for cyber threats.