Combatting the volume problem: The role of AI in managing cyber threats

Cybersecurity is at a breaking point. The volume of cyber threats targeting networks has outpaced traditional security measures. For telcos, the stakes are higher than ever, connecting millions of users while defending against an onslaught of attacks. The numbers don’t lie, and they demand a different approach. AI is stepping in to filter, prioritise, and prevent threats in real time, offering a lifeline to an overwhelmed industry.

The overwhelming scale of threats

The growth of IoT and the expansion of broadband access have created a perfect storm of network vulnerabilities. Traditional security tools, relying on signatures and manual responses, are buckling under the pressure.

Take this: In a single month, 200 initial users in a BlackDice customer deployment faced 953,015 blocked threats. That’s 31,767 threats every day, or 159 per user. Breaking it down:

• Phishing (15.6%): Stealing sensitive information and deploying ransomware.

• Adware (68%): Disrupting user experiences and paving the way for serious attacks.

• Command-and-control traffic (0.5%): Allowing attackers to control compromised devices.

Now scale this to millions of users. The operational and reputational risks are clear — this isn’t a volume problem, it’s an existential one.

The sheer volume of cyber threats isn’t going away. In fact, it’s accelerating. Telcos that fail to adapt risk being overwhelmed. AI is no longer optional; it’s the only scalable way forward. It’s time for telcos to take control of their networks, deliver real security to their customers, and lead the charge in building a safer digital future.

AI: A smarter way forward

Artificial intelligence offers a way to confront this challenge, not just manage it. By automating threat analysis, AI tackles three critical tasks:

1. Filter, block and prevent junk traffic: Reducing unnecessary strain on networks by separating malicious from legitimate activity.
2. Prioritise risks: Identifying and addressing the most critical threats in real time.
3. Predict and prevent attacks: Using machine learning to spot patterns and behaviours that signal emerging threats.

AI doesn’t just help telcos cope; it redefines how networks are protected. By shifting the focus from reactive defence to proactive prevention, AI creates a smarter, faster, and more effective approach to cybersecurity.

Real-world results

The benefits of AI-driven cybersecurity are not theoretical. BlackDice’s deployments have demonstrated significant outcomes:

• Cost savings: Blocking unnecessary traffic has saved telcos millions. For an ISP with 1.5 million subscribers, projected annual savings reach $39 million by cutting down on junk data.

• Improved QoE: Customers experience faster, more reliable networks with fewer interruptions, reducing churn and building loyalty.

• Scalability: AI-powered solutions adapt to the growing complexity and scale of modern networks, making them a critical tool for telcos.

Why this matters for telcos

Telcos sit at the intersection of connectivity and security. By embracing AI-driven solutions, they can:

• Differentiate their offerings: Delivering enterprise-grade cybersecurity to residential users and SMBs.

• Reduce operational burden: Automating threat detection and mitigation frees resources for strategic growth.

• Build trust and loyalty: Protecting customers from threats fosters confidence in their services.

A call to action

The sheer volume of cyber threats isn’t going away. In fact, it’s accelerating. Telcos that fail to adapt risk being overwhelmed. AI is no longer optional; it’s the only scalable way forward. It’s time for telcos to take control of their networks, deliver real security to their customers, and lead the charge in building a safer digital future.

The future of cybersecurity isn’t about keeping up. It’s about staying ahead.