Recently, news broke about bad actors exploiting Amazon’s internal AI tools, tools designed to improve productivity but instead used for harm. It’s a reminder that AI, while transformative, can also be a double-edged sword. Cybercriminals are harnessing it to scale their attacks, making threats faster, smarter, and harder to detect. The question isn’t whether AI will shape the future of cybersecurity. It’s who will wield it better.
For cybercriminals, AI is a dream. It’s used to automate phishing campaigns, bypass traditional defences, and identify vulnerabilities at an alarming speed. The result? Even well-protected organisations are struggling to keep up. But here’s the good news. AI is equally powerful in helping businesses defend themselves. It’s about using the same innovation that fuels cybercrime to outsmart attackers.
At Silverstring, we’ve embraced this approach. A key platform we rely on to run our services is Predatar, which plays a significant role in managing and testing our clients’ cyber recovery strategies. Its AI capabilities allow us to spot vulnerabilities and unusual activity across backup environments, things that might otherwise slip through the cracks. For example, we use Predatar’s anomaly detection to monitor data patterns, flagging anything out of the ordinary that could indicate a threat. It’s like having an extra set of eyes that never blink.
One particularly useful feature is the Recovery Risk Report. It’s a quick, AI-driven analysis that reveals hidden weaknesses in backup systems. From unpatched servers to recovery bottlenecks, the report highlights risks and offers practical advice to address them. We lkke it as its vendor-neutral too, so the recommendations are focused purely on what’s best for the organisation, not on selling more of a particular product.
The great thing about tools like this is how much they shift the balance. Instead of reacting to incidents after the damage is done, we’re identifying and addressing risks before they become problems. For example, a client recently used the report to simplify their backup architecture, patch vulnerable workloads, reduce recovery times and improve their overall resilience.
AI in cybersecurity doesn’t have to feel like an arms race, at Silverstring we see it as an opportunity to work smarter. By combining tools like anomaly detection, risk insights, and proactive recovery testing, businesses can stay one step ahead. Cybercriminals might be innovative, but with the right approach, so can we. At Silverstring, we’re proving every day that AI can help us build resilience, not just react to threats. It’s about fighting fire with fire.
