On June 24, 2026, the Canadian Centre for Cyber Security issued a statement that deserves to land on every leader's desk. The message, voiced by Cyber Centre head Rajiv Gupta, is blunt: frontier AI is "reshaping the cyber threat landscape at a pace that demands action now." Not next budget cycle. Now.
The statement follows a joint statement from the cyber security agencies of the Five Eyes, urging senior decision-makers worldwide to strengthen their cyber defenses immediately, before a cyber incident escalates into a major operational and financial crisis. When five national agencies align on the same message in the same week, it is not a watch note — it is a strategic signal.
The real shift: the response window collapses
The heart of the warning is not that AI creates new threats. It is that AI compresses time. Frontier AI models help threat actors find and exploit vulnerabilities — software flaws as well as weaknesses in security controls — much faster than before. The Cyber Centre puts it starkly: the time defenders have to respond drops, in some cases, from days or weeks to hours.
- Problem: your detection and remediation processes were calibrated for a world where a patch applied "within the week" was acceptable. That world is gone.
- Impact: a vulnerability disclosed in the morning can be exploited at scale in the afternoon, by actors who could never have written the exploit themselves.
- Action: shorten your own loop. Manual, quarterly vulnerability prioritization is obsolete. You need continuous visibility into your exposure and remediation driven by real risk, not by the calendar.
What threat actors are already doing with AI
The statement, drawing on the National Cyber Threat Assessment 2025-2026 and the Ransomware Threat Outlook 2025-2027, is specific: AI is lowering the barriers to entry for malicious cyber activity. Threat actors are already using it to:
- Identify and exploit vulnerabilities at unprecedented speed — software flaws as well as gaps in security controls.
- Chain vulnerabilities: find and combine multiple weaknesses to build a complete attack, a technique known as "vulnerability chaining."
- Create more convincing campaigns at scale, fast — phishing, voice phishing (vishing) and deepfake impersonation, which we have already documented.
The most structural effect is the last one: AI helps less-experienced threat actors carry out complex cyber attacks they could never have mounted on their own. The sophisticated attack is no longer the preserve of the best-resourced groups.
The risk also comes from inside
The Cyber Centre stresses a point many organizations overlook: AI introduces internal risks, independent of any attacker.
- Unapproved use of AI tools by employees ("shadow AI").
- Exposure of sensitive data fed into third-party models.
- Reliance on inaccurate or manipulated outputs that decisions are then built on.
In other words, even with no adversary, deploying AI without governance creates attack surface and leaks. The threat and the tool are the same technology.
The measures to take now
The good news, and the point the Cyber Centre hammers home: the countermeasures remain largely fundamental. AI accelerates the threat, but it does not invalidate cyber hygiene — it makes it non-negotiable. The statement recommends, among others:
- Reduce the attack surface and limit internet exposure. Every unknown or forgotten asset is a door adversarial AI will find faster than you. That is exactly the purpose of external attack surface management: seeing what the attacker sees, before they do.
- Enforce phishing-resistant MFA (FIDO2/WebAuthn) on sensitive accounts. SMS codes do not hold up against real-time relay attacks.
- Patch more often and faster, and actively address end-of-life or unsupported systems.
- Centralize logging and deploy behavior-based anomaly detection, to catch what no content filter will see.
- Segment systems to contain the spread of an intrusion.
- Test your incident response plans — containment and recovery — so the window of a few hours is not lost to improvisation.
- Govern AI use internally: a clear policy, awareness, rules on sensitive data.
- Require equivalent security from third-party providers. Your third-party risk is now accelerated by AI just as your own is.
Turning AI toward the defense
The most important point of the statement may be its refusal of fatalism. The Cyber Centre explicitly recommends integrating AI into security operations: to identify vulnerabilities earlier, strengthen secure-by-design practices, improve monitoring, and accelerate detection and response. This is the "AI vs AI" logic: if the attacker gains speed, the defender must gain speed too, or fall behind.
The real dividing line, then, is not between organizations that use AI and those that avoid it — the adversary already uses it. It is between those with continuous, prioritized, actionable visibility into their risk, and those who discover their exposure at the moment of the incident. With the window shrunk to hours, that visibility is what makes the difference.
If you want to see what that posture looks like — a mapped attack surface, live threat intelligence and prioritized risks in a single view — the product tour shows how we turn exposure into prioritized action, at the speed the threat now demands.