The AI revolution is our new reality, and it is not going anywhere. To thrive, our community must command these tools rather than be sidelined by them. This column is your definitive briefing, designed to keep you sharp, informed, and ahead of the curve. We are cutting through the noise to ensure the Caribbean stays at the forefront of this digital shift. The future is built by those who adapt.
Canada is taking action on emerging AI cyber risks
The Canadian Centre for Cyber Security (Cyber Centre), part of the Communications Security Establishment Canada (CSE), is urging organizations across Canada to take action on emerging cyber risks linked to frontier artificial intelligence (AI).
AI is rapidly reshaping the cyber threat landscape. As outlined in our Frontier artificial intelligence advisory, these models can help cyber threat actors find and exploit vulnerabilities, including software flaws and weaknesses in security controls, much faster than before. This significantly shortens the time defenders must respond (in some cases from days or weeks to hours) and increases the likelihood of successful cyber-attacks.
Photographer: Immo Wegmann
Our National Cyber Threat Assessment 2025-2026 and Ransomware Threat Outlook 2025-2027 assess that AI is also lowering barriers to entry for malicious cyber activity. Threat actors are already using AI to:
- Create more convincing phishing, vishing (voice scams), and deepfake impersonation faster and at greater scale
- Find and combine weaknesses to carry out attacks, a technique known as vulnerability chaining, and
- Make it easier for less skilled actors to carry out more sophisticated cyber attacks
AI also introduces risks from within organizations, including unapproved use of AI tools, exposure of sensitive data, and the potential for systems to rely on inaccurate, or manipulated outputs.
Whether your organization has a mature cyber security program or is just starting to assess AI-related risks, one of the most effective ways to reduce exposure is by reinforcing strong cyber hygiene practices. Organizations across Canada should:
- Apply security patches promptly and keep systems up to date
limit exposure to the Internet and reduce attack surfaces
- Implement strong authentication, including phishing‑resistant multi‑factor authentication
- Centralize logs across systems and environments so unusual activity can be detected sooner
- Separate key systems, a practice known as system segmentation, so an attack is easier to contain and less likely to spread
- Address unsupported or legacy systems
- Test incident response plans and plan for containment and recovery
- Build internal awareness and clear guidance on the appropriate and responsible use of AI tools, including how to handle sensitive information
Cheap AI worm can spread between devices without human guidance
Organizations that rely on third-party service-providers should ensure those providers are also applying strong cyber security measures. Cyber resilience is a shared responsibility that extends across the entire supply chain.
“Intelligence does not exist in discovering new vulnerabilities; rather, intelligence exists in determining how quickly an attacker can choose and sequence attacks against previously identified vulnerabilities.”
Bob Hutchins, adjunct faculty at Lipscomb University
Researchers have demonstrated that a computer worm powered by artificial intelligence (AI) can autonomously spread across a network by identifying and exploiting vulnerabilities on different devices, raising fresh concerns about how the technology could change the future of cyberattacks.
The proof-of-concept malware, developed by researchers at the University of Toronto and cybersecurity firm CleverHans, combines a locally running large language model (LLM) with an autonomous software agent that can scan networks, assess potential attack paths, and decide how to compromise new targets without human intervention. The researchers say the work shows how AI could enable malware to adapt to unfamiliar environments rather than relying on a single preprogrammed exploit.
In experiments described in a new study uploaded June 2nd, 2026, to the arXiv preprint server, the worm was tested against a simulated corporate network containing 33 hosts, including Linux servers, Windows workstation computers and other internet-connected (IoT) devices. The researchers found that the system identified vulnerabilities, compromised new machines, and replicated itself across roughly 62% of the network over the course of a week.
The worm isn’t inventing new ways to break into systems. Instead, it’s taking information about a machine, matching it against known vulnerabilities and weaknesses, and deciding which avenue is most likely to succeed.
Photo courtesy of Aerps.com
How does Google’s Nano Banana stand up to the competition?
Nano Banana still lets you experiment with animated visuals, which makes it great for lightweight content creation, concepting, or social ideas without going full production mode. The anime style is worth trying to get started.
Like other image generators, you can also upload your own image and start experimenting with it. The process is simple: upload your photo, describe the changes you want in natural language – things like “enhance colours,” “change to cartoon style,” or “remove background” – and hit Generate. You can bring in up to 10 images at a time in JPEG, PNG, or WebP format, whether that is a product shot, a portrait, or a rough sketch.
The range of edits is broad: adjust lighting, swap styles, remove or add objects, fix imperfections, or upscale resolution. Where Nano Banana Pro stands out is character consistency: it preserves unique elements like reference characters or objects across multiple scenes with a high degree of accuracy, making it a solid choice for content series, storyboards, or campaigns where visual cohesion across images matters.
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