Attackers increasingly use AI for automation, social engineering, vulnerability discovery and faster cyber operations.
Agentic AI, APIs, third-party software and machine identities create security challenges beyond traditional IT environments.
CISOs need stronger identity controls, continuous monitoring, recovery planning and post-quantum readiness against evolving risks.
Cybersecurity leaders enter 2027 facing a threat landscape shaped by artificial intelligence, identity abuse, supply-chain weaknesses and geopolitical uncertainty. AI is already helping attackers automate reconnaissance, vulnerability research, social engineering and exploit development. The UK’s National Cyber Security Center expects these capabilities to increase the volume and impact of cyber intrusions by 2027.
Here are 10 risks CISOs should place on the 2027 security agenda.
AI will decrease the time taken by attackers to determine their targets, analyze vulnerabilities, and create attack pathways. By 2027, threat actors may automate more aspects of the intrusion process while retaining human beings at decision-making points. It is imperative that CISOs acquire solutions like AI-assisted detection, automated response, and threat hunting.
With Agentic AI, a security issue emerges as agentic systems can act, have access to resources, and make decisions independent of direct human intervention. Excess permissions may transform an agentic AI system into an attack pathway. Agentic AI is one of the trends that will impact the CISO role, as stated by Gartner.
Attackers will be able to exploit AI applications through malicious instructions included in a document, a prompt or obtained data. This means that a manipulation of the application by the threat actor could result in the disclosure of sensitive information. Gartner cites prompt injection and AI application manipulation as serious security challenges.
AI-generated video, audio or imagery could increase the chances of impersonating executives, employees, or even suppliers with fraudsters able to manipulate a transaction. The security team should improve authentication methods for high-risk transactions rather than depending on audio and video.
A security weakness in one vendor can affect hundreds of organizations. The expanding use of open-source software, cloud services, AI models and third-party integrations increases this exposure. Gartner lists software supply chains among the critical threats where attackers can hold a significant advantage.
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Stolen credentials can give attackers access without triggering the alerts associated with traditional malware. AI agents will also create more machine identities and automated access paths. CISOs should strengthen least-privilege controls, multifactor authentication, privileged-access management and continuous identity monitoring.
Ransomware remains a serious business risk because an attack can disrupt operations, damage supply chains and create costly recovery periods. The 2025 Jaguar Land Rover incident demonstrated how a cyberattack could affect production and financial performance. CISOs should test immutable backups, network segmentation and recovery plans regularly.
AI could accelerate the discovery and exploitation of vulnerabilities in critical infrastructure. Legacy operational technology can create additional challenges because security updates may disrupt essential services. The NCSC warns that AI could increase risks to critical infrastructure and its supply chains by 2027.
Quantum computing poses a longer-term threat to encryption systems that protect sensitive communications and data. The ‘harvest now, decrypt later’ model makes the issue relevant today because attackers can collect encrypted information for future decryption. CISOs should begin cryptographic inventories and plan migration towards post-quantum standards.
Cybersecurity is increasingly tied to geopolitical tensions, technology sovereignty and changing regulation. The World Economic Forum points to AI, geopolitical fragmentation, supply-chain complexity and widening cyber capability gaps as forces reshaping cyber risk. CISOs should include geopolitical disruption in enterprise risk and resilience planning.
One of the greatest shifts for security leaders will be attack speed. Periodic assessments may not keep up with threats that constantly shift because of AI. Gartner’s 2026 cybersecurity forecast also sees AI deployment, agentic threats, and post-quantum vulnerabilities as disruptive factors to cybersecurity strategy.
In 2027, CISOs will need to concentrate on continuous assessment, strong identity management, AI oversight, supply chain visibility, resilient recovery and post-quantum security. The aim of this strategy should not be prevention of all attacks. It should be rapid detection, mitigation and recovery from them.
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1. What cybersecurity risks should CISOs prioritise in 2027?
CISOs should prioritise AI-powered attacks, agentic AI, identity compromise, supply-chain threats, ransomware, deepfakes, critical infrastructure attacks and quantum-related encryption risks.
2. Why will agentic AI create new cybersecurity challenges?
Agentic AI can independently access systems, call APIs and execute tasks, creating risks around excessive permissions, manipulated inputs, unintended actions and accountability.
3. How can organizations prepare for AI-driven cyberattacks?
Organizations should combine continuous monitoring, AI-assisted detection, strong identity controls, automated response, threat hunting and human oversight across critical enterprise systems.
4. Why should CISOs begin post-quantum preparation now?
Attackers can collect encrypted information today for potential future decryption, making cryptographic inventories, migration planning and crypto-agility important before quantum capabilities mature.
5. Will traditional cybersecurity strategies remain effective in 2027?
Traditional controls will remain important, but CISOs will need continuous monitoring, adaptive identity security, AI governance and automated response to match faster threats.