2026 marks a turning point in cybersecurity: threats are not only increasing in number, but also in autonomy, speed, and ability to bypass traditional controls. AI is also falling into the hands of attackers, non-human identities are surpassing human ones, and new European obligations are transforming security from a purely technical exercise into the ability to demonstrate, with evidence, how the organization is being protected.
In this article, we analyze the trends identified by the Cyberoo Observatory and translate them into operational consequences: how attack models will change, which exposure surfaces will become critical, and which strategic decisions will be needed to face this year with a real advantage, instead of constantly chasing the urgency of the moment.
In 2026, AI stops being just an ally for defenders and also becomes a force multiplier for offensive operations. Attackers can create tailored phishing, credible deepfakes, and convincing impersonations with minimal costs and limited skills. Generative models produce contextualized content and make it possible to automate entire phases of the attack, making it increasingly difficult to distinguish the fake from the legitimate.
Within this scenario, two decisive dynamics emerge.
The first is Agentic AI: autonomous agents capable of planning and acting, exposed to new vectors such as prompt injection, API abuse, manipulation of data sources, and excessive privileges. A compromised agent moves faster than any human team, and precisely for this reason governance, constraints, and traceability become essential conditions.
The second is Superagency: the moment when non-human identities outnumber human ones. Bots, services, IoT devices, and APIs become the majority and represent a significant blind spot. These identities too can be stolen or impersonated with great ease, often without generating obvious signals. Rigorous management of permissions, keys, and privileges is therefore required.
On top of this comes a less visible but equally concrete threat: LLMjacking. If API keys or cloud credentials are stolen, models can be misused, causing unexpected costs, abnormal resource consumption, and possible data exfiltration. The response lies in strict discipline in secret management, temporary keys, usage monitoring, and rate limits on APIs.
Most security breaches still originate from one simple factor: a compromised identity. Human identities are vulnerable to reused passwords, impulsive clicks, and misplaced trust. But today the attack surface has expanded to non-human identities as well—from bots to APIs, from microservices to IoT devices—which often operate without proper control or visibility.
When an account is compromised, the attacker doesn’t necessarily need to exploit technical vulnerabilities: they use the credentials as if they were legitimate and move around undisturbed. Techniques such as AiTM, where the attacker “sits in the middle” between the user and the service to intercept the login, can render even traditional MFA ineffective. Organizations need fraud-resistant access methods and tools capable of detecting anomalous behavior, even in identities that appear regular.
Further complicating the picture is a crisis of trust: voice and video deepfakes can generate credible urgent requests in just a few seconds. Effective defense requires three complementary levers: behavioral biometrics, which recognizes the unique way a person interacts; digital provenance and content signatures based on standards like C2PA; and rigorous application of Zero Trust, which reduces privileges, verifies every critical step, and treats every request as potentially risky.
In 2025 we saw the center of gravity of attacks shift toward the edge, remote access, and solutions that are exposed by design. VPNs, gateways, and authentication systems became the first target because they are accessible from the internet and often difficult to maintain quickly. The result: exploits ready within a few hours, even for vulnerabilities that have not yet been patched.
This requires a cultural shift: patching in hours, not weeks, and immediately revoking potentially compromised sessions after each update. At the same time, the massive adoption of SaaS and cloud has expanded the attack surface: unprotected buckets, overly broad permissions, shares that are never revoked, keys forgotten in repositories, all the way to the uncontrolled use of AI services.
Cloud security must become continuous and visible. We need tools that show configurations, dependencies, data flows, privileges, accesses, and external integrations. Architectural separation, traffic controls toward AI models, periodic key rotation, and the hunt for hidden or inherited admin accounts become ongoing activities, no longer exceptional tasks.
And the perimeter is not only digital: Physical AI brings artificial intelligence into industrial robotics, medical devices, and OT systems. Here, security means protecting people, processes, and operational continuity. You need zoned network segmentation, single-use bastion hosts, recording of remote access sessions, and strong MFA to protect the most critical systems.
Everything converges on a single variable: time. Attackers have industrialized the discover–exploit pipeline, while companies still operate on monthly windows. 2026 demands fast patching on everything that is exposed, and clear playbooks to revoke tokens, renew sessions, and apply immediate hardening after every update. It’s not about patching faster; it’s about deciding faster.
2026 is the year when cybersecurity meets European regulation and must prove compliance not just claim it. The AI Act, in force since 2024, reaches a key date on August 2, 2026: from that moment, high-risk AI systems must comply with strict requirements on governance, monitoring, risk management, and transparency, while AI-generated content will be subject to labeling obligations. Organizations using AI will need to document every phase: testing, datasets, controls, performance, and incidents.
At the same time, NIS2 enters its operational phase: from 2026, organizations covered by the directive must report significant incidents within defined timeframes and implement the minimum cybersecurity and risk-management measures required by EU law, with different obligations for essential and important entities.
The Cyber Resilience Act adds another obligation: from September 11, 2026, manufacturers must report within 24 hours any exploited vulnerability affecting digital products, including those already on the market. Full application will follow in 2027, but the most critical part starts this year.
Finally, in the financial sector, DORA reaches a demanding stage: advanced resilience testing, tighter oversight of critical ICT providers, and stricter incident reporting. For banks and insurers, the issue is no longer just “being compliant,” but demonstrating continuous real resilience.
The race toward quantum computing makes it inevitable that current cryptography will eventually no longer be secure. Q Day has not yet arrived, but attackers’ strategy is already clear: Harvest Now, Decrypt Later. Steal encrypted data today in order to decrypt it in the future.
Post-quantum algorithms already exist, but adopting them takes time and requires a deep review of architectures. This is why the priority for 2026 is not to change everything, but to become crypto‑agile: building systems capable of updating algorithms and protocols without rewriting applications and infrastructures from scratch.
Those who do not start this transition risk being unprepared: when change becomes mandatory, the lack of flexibility could expose sensitive data, critical processes, and entire environments to risks of decryption or manipulation.
The Cyberoo Observatory offers a clear view: complexity is increasing, but not chaotically. It grows following patterns that repeat with surprising consistency, if you know how to recognize them. Threats are becoming more autonomous, identities are multiplying faster than organizations can govern them, and AI is introducing entirely new vectors of abuse. At the same time, the regulatory landscape is tightening, leaving no room for ambiguity in execution, transparency or accountability.
In this context, competitive advantage in 2026 will not belong to those with the largest portfolio of security technologies. It will belong to those who can truly integrate technology, people and processes into a unified system that can observe, interpret and react with the same speed — and the same logic — as modern threats. This is no longer about tools: it is about organizational capability. Detecting weak signals, correlating fragmented information, cutting through the noise and acting before an attack becomes an incident. That is where the real gap between reacting and anticipating begins.