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Cybersecurity in 2026: A Strategic Road Map for U.S. Businesses
⚡ Weekend Threat Brief
Cybersecurity in 2026: A Strategic Road Map for U.S. Businesses
Forvis Mazars outlines what firms should prepare for in 2026 — from regulatory pressures to evolving attack tactics.

Key points
A shift toward proactive threat modeling instead of reactive fixes
Integrating cybersecurity into broader business strategy and governance
The rising role of AI-driven security controls and compliance systems
Emphasis on cross-border risk, supply chain, and third-party exposure.
Takeaway
Start aligning your 2026 plans now — embed security into your roadmap, not as an afterthought.
🎯 Tactical Playbook
MokN: Using Deception to Trap Attackers with Their Own Stolen Credentials
French startup MokN just raised €2.6M to bring its “phish-back” (decoy) approach to the U.S. market.
MokN deploys fake login pages inside enterprise networks. When an attacker (using stolen credentials) tries them, the system flags it.
The key shift: don’t just block, but lure attackers so you detect breaches earlier.
Early adopters include 20+ enterprises; MokN claims over €1M ARR within a year.
Tactical tip: Consider adding deception tools (honeypots, decoy portals) as an early detection layer, especially for identity-based threats.
🛡️ Research Watch
AI, Compliance, and a New Era of Cybersecurity
Security Magazine explores how AI is reshaping regulatory expectations and security controls.
AI isn’t just a threat vector — it's becoming central to compliance tooling and audit processes
Future regulators may expect explainability, model risk assessments, overt AI governance
Organizations must blend AI enablement with guardrails, transparency, and accountability
In short, you can’t treat AI as optional. It’s now entwined with both business operations and regulatory posture.
🧩 Tool Tip of the Week
ManageEngine DataSecurity Plus & Deep Packet Inspection (DPI)
In our DPI tool guide, ManageEngine DataSecurity Plus stands out for inspecting both headers and payloads of network traffic, enforcing content controls and policy rules.
Why it’s useful:
It can block risky sites, stop unauthorized Web traffic, and spot data exfiltration attempts.
Works in encrypted environments (via HTTPS inspection) to catch hidden threats..
🗣️ Community Signal
If you want to use AI safely, that’s the only way you can use it. I see a lot of opportunities, also for compliance. For example, in our contact center, staff have to make notes after a customer call, but they’re under time pressure. The notes often fall short, so when a customer calls back, details are missing and you can’t spot trends. Now AI listens in and staff only validate the conversation. It helps us serve customers better, more efficiently, and remain compliant. Vanessa van der Does, Chief Compliance Officer at NN Group
🔗 Your Take - The Results

🔗 Stay Connected
Until next edition!