The Top Cybersecurity Trends in 2026

What security buyers need to know before evaluating vendors this year

The cybersecurity market in 2026 looks different from two years ago. Categories are converging, AI is reshaping both the threat landscape and the tools used to defend against it, and CISOs are under more pressure than ever to justify spend while cutting vendor sprawl.

If you're planning a security evaluation this year — or trying to understand where to prioritise — these are the trends that matter.

1. Non-Human Identity (NHI) Security

Why it's hot: Machine identities now outnumber human identities at a ratio of 109 to 1, according to Palo Alto Networks. 79 of those 109 are AI agents. 50% of enterprises have already suffered a breach due to unmanaged non-human identities.

The category has exploded in the past 18 months because of agentic AI. Until recently, most NHIs were relatively static — service accounts created for one purpose and gradually forgotten. AI agents changed that. They generate credentials on the fly, access enterprise systems autonomously, and often have no clear owner.

The result is an identity governance vacuum that most organisations haven't caught up with.

Buying triggers:

• Deploying AI agents or automation workflows
• Failed identity audit or access review
• Breach or incident involving a compromised service account
• Board or compliance focus on AI risk

What to evaluate: Discovery breadth across cloud environments, ability to detect stale or over-privileged NHIs, ownership assignment workflows, and integration with existing IAM/PAM tooling.

Vendors active in this space: CyberArk, Entro Security, GitGuardian, Veza, Astrix Security, Oasis Security

2. Agentic AI Security

Why it's hot: Gartner named "agentic AI oversight" as one of its top cybersecurity priorities for 2026. As organisations deploy AI agents with access to internal systems, data, and APIs, they're introducing a class of risk that existing security tools weren't built for.

AI agents can be manipulated through prompt injection. They can exfiltrate data by being instructed to act on behalf of a bad actor. They can take actions — deleting files, sending emails, making API calls — that are difficult to audit or reverse.

This is genuinely new territory, and the vendor landscape is early. Most organisations are still figuring out what "AI security" means in practice.

Buying triggers:

• Rolling out AI assistants or copilots with access to internal data
• Developer use of AI coding tools with access to source code
• Board or regulatory focus on AI governance

What to evaluate: Visibility into AI agent activity, prompt injection detection, data access controls, audit trails for AI-initiated actions, and alignment with emerging frameworks like OWASP LLM Top 10.

3. Continuous Threat Exposure Management (CTEM)

Why it's hot: Traditional penetration testing happens once or twice a year. The threat landscape changes daily. CTEM platforms close that gap by continuously simulating attacks against your environment to identify what's actually exploitable right now.

Gartner has been pushing the CTEM framework for several years, and in 2026 the buying cycle is maturing. Organisations that adopted CTEM early are now renewing and expanding, and the category is attracting significant M&A attention.

The key insight CTEM provides isn't "here are your vulnerabilities" — it's "here are the vulnerabilities an attacker could actually reach and exploit, given your real environment."

Buying triggers:

• Increasing volume of CVEs with no clear prioritisation approach
• Post-incident review identifying exploited vulnerabilities that were known but unaddressed
• Pressure to reduce mean time to remediate
• Red team or pentest findings showing previously patched issues still exploitable

What to evaluate: Attack surface coverage, integration with vulnerability management tools, ability to distinguish theoretical from exploitable risk, and remediation workflow integration.

Vendors active in this space: XM Cyber, Cymulate, Pentera, AttackIQ, Horizon3.ai

4. Post-Quantum Cryptography (PQC)

Why it's hot: Quantum computers capable of breaking RSA and ECC encryption are not here yet — but the planning horizon is now. NIST finalised its first post-quantum cryptographic standards in 2024, and CISOs in regulated industries and critical infrastructure are already beginning migration planning.

The risk isn't just future decryption. "Harvest now, decrypt later" attacks — where adversaries collect encrypted data today to decrypt once quantum computing matures — mean the window for action is narrower than it looks.

Buying triggers:

• Operating in defence, critical infrastructure, finance, or government
• Long data retention requirements where encrypted data remains sensitive for 10+ years
• Upcoming regulatory deadlines tied to cryptographic standards
• Board-level risk review identifying quantum as a long-horizon but high-impact threat

What to evaluate: Cryptographic inventory tooling (knowing what you have before you can migrate), cryptoagility capabilities, and vendor roadmaps for PQC support across existing tooling.

5. CNAPP Consolidation

Why it's hot: Cloud-Native Application Protection Platforms (CNAPP) are absorbing adjacent categories — CSPM, CWPP, DSPM, and increasingly NHI and AI security capabilities. The message from vendors: one platform, one data model, one set of alerts.

The pressure for consolidation is real. CISOs are under budget pressure and the average enterprise still runs too many point solutions generating too many disconnected alerts. CNAPP vendors are aggressively acquiring or building capabilities to justify platform licensing.

The challenge for buyers: the breadth of a platform matters less than depth in the areas you actually need. A CNAPP that does everything adequately is often less valuable than a specialist that solves your highest-priority problem well.

Buying triggers:

• Rationalising a fragmented cloud security stack
• Responding to audit findings across multiple domains
• Preparing for multi-cloud expansion
• CISO-driven initiative to reduce vendor count

What to evaluate: Coverage across your specific cloud environments, depth in your highest-risk area (code, runtime, data, or identity), alert quality vs. volume, and whether the platform genuinely integrates or just aggregates.

Vendors active in this space: Wiz, Palo Alto Prisma Cloud, CrowdStrike Falcon Cloud Security, Orca Security, Lacework

6. AI-Augmented Security Operations

Why it's hot: The global cybersecurity workforce gap sits at 4.8 million professionals, growing at 19% year on year. AI is the most credible near-term answer. Security vendors across SIEM, SOAR, and threat detection are racing to embed AI into alert triage, investigation, and response workflows.

The category promise: the same team, handling more alerts, with fewer false positives and faster mean time to respond. Early deployments are showing real results in tier-1 alert handling, particularly for high-volume, lower-complexity alert types.

The risk: teams that over-automate without maintaining human oversight create new blind spots — particularly for novel attacks that don't match historical patterns.

Buying triggers:

• SOC team struggling with alert volume
• High analyst turnover or difficulty hiring
• Growing detection-to-response gap
• Regulatory requirement for documented incident response timelines

What to evaluate: Native AI capabilities vs. AI wrapper around existing tooling, explainability of AI decisions, ability to tune to your environment, and human-in-the-loop controls for high-risk automated actions.

7. Regulatory Volatility

Why it's worth watching: The compliance landscape in 2026 is genuinely complex. NIS2 in Europe, ongoing SEC cyber disclosure rules in the US, and a patchwork of data localisation requirements across jurisdictions are creating significant compliance overhead — particularly for organisations operating across multiple regions.

The practical impact: security budgets that might otherwise go to tooling are being consumed by compliance work. And the tools being evaluated often need to satisfy multiple regulatory frameworks simultaneously, raising the bar for reporting and audit capabilities.

This isn't a product category, but it's shaping buying decisions. Vendors that can clearly articulate how their product supports specific regulatory requirements are winning deals over those that can't.

How to use this in your planning The most common mistake organisations make when reviewing this list is treating it as a priority ranking. It isn't.

Your highest-priority category is the one that addresses your highest-priority risk. An organisation that primarily runs SaaS workloads faces different problems from one running AI agents across a hybrid cloud environment.

Before evaluating vendors in any of these categories, the useful questions are:

• What's our actual exposure in this area today?
• What would a breach or failure in this area cost us?
• Do we have the internal team to operate and respond to what a tool surfaces?
• Are we solving this for compliance, or to genuinely reduce risk?

The answers will narrow the list quickly.

Continue your evaluation

If you're ready to explore vendors across any of these categories, Picari lets you browse profiles, compare capabilities, and build a shortlist based on your specific environment and priorities — not vendor marketing.

[Browse vendors on picari.io →]

Sources: Palo Alto Networks Identity Security Landscape 2026; Gartner Top Cybersecurity Trends 2026; KPMG 2026 Cybersecurity Report; ISC2 Cybersecurity Workforce Study; GitGuardian NHI Security Report 2026