The paradigm shift: from script kiddie to autonomous agent

For years, automated attacks meant brute force: port scanners, mass password attempts, generic phishing sent to millions of addresses. Noise. Noise that a decent firewall and an attentive team could filter out.

That era is over. The 2026 reports agree on a structural change: attackers no longer use AI just to generate volume, they use it to gain precision. Microsoft observed in its April 2026 report a 450% increase in click-through rates on AI-generated phishing campaigns, because the lures are tailored to the role, language, and specific context of each victim. PwC goes further in its Annual Threat Dynamics 2026 and warns that attackers no longer treat AI as an enhancement, but as a core part of their tradecraft.

The difference is qualitative. A modern offensive AI does not launch 10,000 attacks hoping one will land. It studies a specific organization, identifies the employee with access to the system it wants, drafts an email that sounds exactly like their manager, and, once it obtains a credential, moves laterally across the network without flinching.

The FortiGate case: when theory becomes a headline

The CyberStrikeAI campaign documented in 2026 compromised more than 600 FortiGate firewalls across 55 countries through an autonomous attack engine that chained reconnaissance, credential theft, and lateral movement without human intervention. The CrowdStrike Global Threat Report 2026 details that 40% of vulnerabilities exploited by China-linked actors are concentrated in edge devices: VPNs, firewalls, and gateways. Exactly the infrastructure that many companies and public administrations consider their last line of defense.

Average intrusion breakout time fell to 29 minutes in 2025, with a record observed at 27 seconds. For many organizations, compromise occurs before their patching process clears the first approval gate.

Why the traditional VPN no longer holds up

The problem is not that VPNs are poorly designed. The problem is that they were designed for a world that no longer exists: fixed offices, sedentary employees, clear perimeters. That world broke with hybrid work, and AI has finished demolishing it.

Three structural weaknesses that AI exploits

1. Exposed ports = open invitation

Every corporate VPN publishes at least one port to the public internet. That port is continuously scanned, catalogued, and attacked. An AI agent does not need to sleep: it can test exploits against every CVE published hours after its disclosure. Zscaler ThreatLabz analyzed 411 VPN CVEs over five years and detected an 82.5% annual growth, with 60% of the most recent ones rated high or critical.

2. Implicit trust = ground zero for disaster

Once inside the VPN, the user is treated as trusted. They see the entire network, or at least a large part of it. If an attacker steals a credential via AI-powered phishing, they inherit that trust. A financial firm in Dallas lost $2.3 million in 47 minutes in early 2026 because of exactly this scenario: compromised credential, flat network, lateral movement with no alerts.

3. Patching slower than the attacker

Only 6% of organizations can deploy a critical VPN patch in under 24 hours. 54% need a week or more. When the attacker is an autonomous agent iterating payloads in minutes, that window is a chasm.

Zero Trust: the answer to the scalpel attack

The Zero Trust model is not a marketing fad. It is the only architecture coherent with the kind of adversary we now face. Its premise is simple and radical: never trust, always verify. No user, no device, no connection is considered trusted by default, not even if it comes from inside the network.

Applied to remote access, this means three fundamental changes:

The user does not enter the network, they enter the specific resource they need. If their account is compromised, the attacker inherits access to that application, not to the entire infrastructure.
There are no ports exposed to the public internet. Connections are outbound from resources to an intermediate broker, so there is nothing to scan from outside.
Every access is verified continuously, not just at initial login. Identity, device posture, behavior, and context are evaluated on each request.

Why Zero Trust neutralizes AI-powered attackers

An autonomous agent needs three things to complete its attack: an entry point, lateral movement freedom, and time. Zero Trust eliminates all three.

Without exposed public ports, the AI has no surface on which to iterate exploits. Without a flat network, a stolen credential only grants access to the specific application it was issued for. And with continuous verification, the anomalous behavior of an agent moving across infrastructure raises alerts before it can complete its objective. It is no coincidence that Mandiant, CrowdStrike, Microsoft, PwC, and CISA all converge on the same message: the only viable architecture against machine-speed attacks is one that exposes nothing externally and verifies everything from within.

What this means for a public administration

Municipalities, regional councils, and public entities are prime targets. They handle sensitive citizen data, operate critical systems (registry, tax collection, social services, security), and typically have cybersecurity budgets far below those of equivalent private sector organizations. A successful attack does not just halt service to citizens: it exposes legally protected data and generates direct legal liability.

The dilemma until now was familiar: either maintain an expensive and complex VPN infrastructure with firewalls at every site, or accept the risk. ConnectaSec breaks that dilemma. A 100% software Zero Trust platform, deployable in minutes, with no additional hardware, no exposed ports, granular control per user and service, and auditable logs for 365 days for regulatory compliance and forensic analysis.

What changes when the architecture changes

The technician who today spends hours managing firewall rules and SSL VPN certificates can focus on high-value projects.
The remote employee connects with a single click, with no slow VPN clients or constant reconnections.
The security lead has real visibility into who accesses what and from where, in real time.
The budget stops growing with every new site, every hardware refresh, every license expansion.

Conclusion: the question is not if, but when

Offensive AI is not a forecast for 2028, nor a simulation scenario. It is already operating, already compressing the response window to seconds, and already specifically targeting traditional remote access infrastructure. Keeping a VPN in 2026 is not conservatism: it is an active decision to assume a risk that grows every month.

Zero Trust is not the future of cybersecurity. It is the present. And every week an organization delays the transition is a week of advantage handed to whoever has an autonomous agent pointed at their network.

ConnectaSec puts that architecture within reach of any organization, with no hardware, no complexity, no VPN. Start today with a free pilot at www.connectasec.com.

Sources: Microsoft Security Blog (April 2026), PwC Annual Threat Dynamics 2026, CrowdStrike Global Threat Report 2026, Zscaler ThreatLabz 2026 VPN Risk Report, Mandiant M-Trends 2026, Foresiet AI Inversion Report 2026.