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Gartner’s six cybersecurity trends for 2026 point to a practical priority: get governance and inventories in place before scaling AI and security automation. The agenda spans oversight of AI agents, regulatory resilience, postquantum preparation, agent identity, AI-enabled security operations, and employee use of generative AI. Together, these issues reflect how agentic AI, geopolitical tension, regulatory volatility, and an accelerating threat landscape are changing cyber-risk decisions.
The trends are not a universal to-do list with one fixed order. Gartner’s advice is to assess each initiative and decide whether to embrace it, monitor it, or deprioritize it according to its risk horizon, control maturity, operational impact, and business or regulatory consequences.
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What are Gartner’s six cybersecurity trends for 2026?
Gartner groups the trends under three themes: transforming governance, securing new frontiers, and normalizing AI adoption. The six trends describe connected management problems, not six standalone products to buy. A workable response combines policy, inventories, identity controls, technical safeguards, and people who remain accountable for outcomes.
- Transforming governance: cybersecurity oversight for agentic AI and resilience amid regulatory volatility.
- Securing new frontiers: postquantum planning and identity and access management that accounts for AI agents.
- Normalizing AI adoption: adapting security operations to AI and replacing traditional awareness tactics that do not address GenAI use.
At Gartner’s March 2026 Sydney summit, VP Analyst Richard Addiscott said CISOs should assess each trend to decide whether to “embrace, monitor or deprioritize” it as regulatory, geopolitical, technological, and organizational forces shift. That framing matters because a long-horizon cryptographic risk and an unmanaged AI agent do not demand identical timing or controls.
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Why does agentic AI require new cybersecurity oversight?
AI agents are being deployed by employees and developers through no-code and low-code tools, as well as through “vibe coding.” That accessibility can create agents that security teams have not approved, code that has not been adequately secured, and compliance exposure. Gartner’s response starts with visibility and control, rather than assuming that every agent is known or governed.
Build an agent inventory and apply controls
Identify both sanctioned and unsanctioned agents. The distinction is important: a list of officially approved deployments will not reveal agents created or introduced outside formal processes. Once identified, apply controls to each agent; the appropriate controls should reflect the risks and permissions associated with its use rather than treating every deployment as identical.
Gartner also recommends preparing incident-response playbooks for agent-related events. A playbook makes the response part of operational readiness instead of leaving teams to improvise after an agent creates a security or compliance issue. Strong governance is essential even as agents and automation tools become more accessible and practical, Gartner Director Analyst Alex Michaels has said.
Connect oversight to identity management
An agent is also a machine actor that may need an identity, credentials, and authorization rules. Governance and identity therefore belong in the same program: teams need to know which agents exist, establish how they are registered, automate credentials where appropriate, and use policy-based authorization. Gartner recommends a targeted, risk-based IAM approach, with automation where it makes sense.
How should organizations respond to regulatory volatility?
Changing geopolitical conditions and shifting mandates can raise board and executive accountability for cyber risk. Gartner’s recommendation is to make resilience a cross-functional responsibility: legal, business, procurement, and security teams should collaborate formally, align controls to recognized frameworks, and pay attention to data sovereignty.
Make collaboration part of governance
Formal collaboration is more than inviting other teams to a security meeting. Legal teams can help interpret obligations; business leaders understand operational priorities; procurement can address requirements involving vendors; and security teams can connect those decisions to risk controls. The point is to bring these perspectives together so that resilience planning and accountability are not handled in isolated silos.
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Data sovereignty belongs in the discussion because where data is handled can affect regulatory and business decisions. Gartner’s guidance does not prescribe one universal arrangement; organizations need to assess their own mandates and operating context. Alex Michaels described the year’s converging forces as testing cybersecurity teams in an environment of constant change. For CISOs, that means maintaining a governance process able to revisit priorities as conditions change, rather than treating a framework alignment exercise as a one-time finish line.
When should postquantum migration start?
Gartner says organizations should put postquantum computing into action plans now. Advances in quantum computing could render the asymmetric cryptography organizations rely on unsafe by 2030, according to Gartner. That is a projected risk horizon, not a claim that every current encrypted system will become unsafe on a specific date.
Start with cryptographic discovery
Inventory the cryptography the organization uses. Without an inventory, teams cannot determine which methods are vulnerable, where they are deployed, or which data and systems warrant attention first. Gartner recommends prioritizing sensitive data that must remain protected for a long time, because information exposed today could be targeted in a “harvest now, decrypt later” strategy and decrypted in the future.
Plan replacement and cryptographic agility
After discovery and prioritization, plan to replace vulnerable methods and build cryptographic agility: the ability to change cryptographic methods as needs evolve. Gartner Director Analyst Alex Michaels says postquantum cryptography is prompting organizations to identify, manage, and replace traditional encryption methods while prioritizing that agility. The sequence is consequential: discovery informs prioritization, and prioritization helps shape replacement work instead of forcing an undifferentiated migration effort.
How should IAM adapt to AI agents?
Traditional identity programs need to account for machine actors that may act on behalf of people or systems. Gartner highlights three needs: identity registration, credential automation, and policy-based authorization. These are distinct questions: can the organization identify an agent, manage how it obtains credentials, and define what it is allowed to do?
Use risk-based controls, not blanket automation
Gartner recommends a targeted, risk-based IAM approach, automating where appropriate. In practice, that means treating agent identity as a governed part of access management rather than assuming an agent is safe because it was created with an approved tool. Authorization policies should constrain access according to the agent’s role and risk; credential handling should be considered as part of the design, not an afterthought.
This trend reinforces the case for an inventory of sanctioned and unsanctioned agents. Identity controls cannot be applied consistently to actors the organization has not discovered. Nor does registration alone settle the question of access: registration, credential management, and authorization each address a different layer of control.
What changes when AI is added to the security operations center?
AI can improve alert triage and investigation, but adopting AI-driven SOC solutions also changes staffing, skills, and cost assumptions. Gartner recommends upskilling, human-in-the-loop controls, and adoption tied to explicit strategic objectives. The value is not simply that a tool can automate work; leaders need to define what outcome they expect and retain human accountability in the process.
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Connect AI adoption to a stated strategic objective, then consider the operational changes required to support it. Teams may need different skills as tools alter how alerts are handled and investigations proceed. Gartner Director Analyst Alex Michaels has emphasized prioritizing people as much as technology to realize AI’s potential in security operations.
Keep people in consequential decisions
Human-in-the-loop controls preserve oversight while AI contributes to triage or investigation. The appropriate design depends on the objective and the decision being supported; the trend does not imply that every SOC task should be automated. Leaders should evaluate operational impact, including skills and staffing assumptions, alongside potential benefits when deciding whether to scale a solution.
Why does GenAI change cybersecurity awareness?
Traditional awareness tactics do not fully address employees using generative AI tools for work, especially personal accounts or unapproved services. In a survey of 175 employees conducted from May through November 2025, Gartner reported that over 57% used personal GenAI accounts for work and 33% admitted entering sensitive information into unapproved tools. These figures describe that survey’s respondents; they are not a measurement of every organization or workforce.
Make training behavior-focused
Gartner recommends adaptive, behavior-focused training that includes AI-specific tasks, alongside authorized-use policies and governance. A useful program should address the choices employees actually face when using GenAI, including where they may use it and how they should handle sensitive information. Repeating generic security messages without addressing these behaviors leaves a gap between policy and daily work.
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The findings also connect awareness to governance: employees need clear rules about authorized use, while organizations need oversight that supports those rules. Training is not a substitute for governance, and policy alone does not ensure employees understand the behavior expected of them.
Which threats make AI and software supply-chain controls more urgent?
Gartner’s June 2026 ThreatScape identifies deepfakes, AI-application compromise, prompt injection, and software-supply-chain attacks as critical threats. For AI applications, Gartner recommends an inventory of AI-enabled applications, layered security testing, strong system prompts, and runtime guardrails. These measures address visibility, testing, and controls while an application is operating.
Layer defenses for AI applications
- Inventory AI-enabled applications so teams can see where AI is in use.
- Use layered security testing rather than relying on a single check.
- Use strong system prompts as part of application safeguards.
- Apply runtime guardrails to add controls during operation.
Prompt injection is among the threats Gartner names, but the recommended response is not to depend on prompt wording alone. The combination of inventory, layered testing, strong system prompts, and runtime guardrails gives teams multiple opportunities to identify and manage risk.
Strengthen the software supply chain
Gartner recommends asking vendors for software bills of materials (SBOMs) and AI bills of materials (AIBOMs), using curated repositories for code, containers, and models, and protecting the build and runtime environment.
- Use branch protection and signed build artifacts.
- Limit build access according to least privilege.
- Monitor agentic tools at runtime.
These controls address different points in the supply chain: component information, where dependencies and artifacts come from, how changes enter a build, who can access build systems, and what agentic tools do at runtime. Gartner VP Analyst John Watts has warned that the evolution of GenAI offerings will accelerate software-supply-chain attacks through vulnerabilities in open-source software.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should CISOs decide what to do first?
Compare initiatives across four axes: risk horizon, control maturity, operational impact, and regulatory or business consequence. The purpose is to choose a proportionate portfolio, not to force every trend into the same sequence or urgency category.
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| Decision axis | Question to ask | What it helps distinguish |
|---|---|---|
| Risk horizon | Is the exposure immediate, or does it have a longer lead time? | Current misuse, such as unsanctioned agent activity, versus long-latency quantum exposure. |
| Control maturity | Do we have visibility and governance before adding automation? | Foundational discovery and oversight versus scaling controls or automated responses. |
| Operational impact | What will change for skills, staffing, and human oversight? | Technology adoption that requires workforce or process changes. |
| Regulatory and business consequence | Could the issue affect privacy, resilience, sovereignty, or liability? | Security work with significant organizational or external obligations. |
Apply Gartner’s embrace, monitor, or deprioritize framing after considering those axes. An initiative worth embracing may need immediate program work; one to monitor may warrant ownership and a review point; a deprioritized item should not consume resources ahead of more consequential risks. These are portfolio decisions, not labels that erase accountability.
A practical sequence for the agenda
- Establish governance and visibility. Identify AI agents and AI-enabled applications, set authorized-use expectations, and bring legal, business, procurement, and security stakeholders into resilience decisions.
- Close foundational control gaps. Define agent identity and authorization needs, review cryptographic use, and establish the governance needed to apply controls consistently.
- Address exposed frontiers with layered safeguards. Prioritize long-lived sensitive data for postquantum planning, strengthen AI-application protections, and improve software-supply-chain practices.
- Scale automation against explicit objectives. Upskill teams, retain human-in-the-loop controls, and assess the staffing and operational consequences of AI-driven SOC adoption.
This sequence reflects Gartner’s practical emphasis: governance and inventories first, layered controls for AI and software frontiers, then automation with human accountability. It is a starting structure for prioritization, not a universal implementation schedule.
Frequently Asked Questions
Does Gartner’s 2026 list prescribe the same priorities for every organization?
No. Gartner’s framing asks CISOs to assess each trend in their own risk and operating context, then embrace, monitor, or deprioritize it. The trends identify areas to evaluate, not a mandatory ranking for every sector or organization.
What does “harvest now, decrypt later” mean?
It describes collecting encrypted information now with the aim of decrypting it later if cryptographic capabilities change. Gartner connects that possibility to prioritizing sensitive data that needs long-term protection.
What is an AIBOM?
An AI bill of materials is the term Gartner uses for vendor-provided information about AI components in a product or system. Gartner recommends requesting AIBOMs alongside SBOMs as part of software supply-chain safeguards.
Are the GenAI survey percentages universal workforce statistics?
No. Gartner’s figures come from a survey of 175 employees conducted between May and November 2025. They describe respondents in that survey and should not be treated as a measured rate for every workforce.
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