AI Security Weekly Start of Week Brief

September 22, 2025

Week Summary

Critical: SharePoint and N-able RMM zero-days exploited in the wild
Breakthrough: AI-ready security offerings emerge as a new MSP revenue stream
Lesson: Deregulation may shrink compliance costs but raise systemic risks

🔴 WEEK'S TOP THREATS

CISA: N-able N-central Zero-Day Exploited

What happened — Two critical flaws (CVE-2025-8875/8876) in N-able’s N-central RMM are under active exploitation. CISA confirmed compromises in on-prem environments; cloud deployments remain unaffected.

Why it matters — RMM platforms are high-value supply-chain targets—one exploit can pivot into thousands of tenants.

MSP Take — Your RMM is your blast radius. A compromised N-central server means attackers get remote code execution inside client networks.

Action (48h) — Upgrade to N-central 2025.3.1. Federal agencies must remediate by Aug 20.

Editor Commentary — We’ve seen this before with Kaseya and SolarWinds—attackers go after the tools MSPs use to manage others. Treat RMM patching as Tier-1 emergency hygiene.

Microsoft Patch Tuesday: 81 CVEs, 2 Zero-Days

What happened — September’s Patch Tuesday fixed 81 CVEs, including a Windows SMB elevation bug (CVE-2025-55234) and a Newtonsoft.Json DoS flaw (CVE-2025-21907).

Why it matters — SMB relay attacks and NTLM exploitation remain key entry points for lateral movement.

MSP Take — Clients often disable SMB signing for “performance reasons.” That decision now exposes them to credential theft with little EDR visibility.

Action (48h) — Apply September cumulative updates. Run Microsoft’s SMB audit tool and enforce signing where possible.

SourcesBleepingComputerTenable

Editor Commentary — NTLM and SMB are holdovers from another era. MSPs should begin migrating clients to modern auth stacks before attackers force their hand.

🟡 WEEK'S DEVELOPMENTS

Lenovo Survey: AI Security Confidence Collapses

What happened — 65% of IT leaders admit their defenses can’t withstand AI-powered cybercrime; 70% worry about employee misuse of generative AI.

Security Impact — Traditional defenses can’t manage AI-powered social engineering, insider risks, or autonomous malware.

Action (48 hours) — Add AI-specific misuse scenarios to tabletop exercises. Deploy monitoring for AI data leakage.

SourcesLenovo

Editor Commentary — Generative AI has become an unmanaged insider threat. Without controls, enterprises risk creating “shadow agents” that bypass all security policy.

Trump Administration Cyber Policy Shift

What happened — Executive Order 14306 reduces CISA’s budget by 17% and withdraws SEC cyber disclosure rules, refocusing attention on foreign threats.

Long-term — Less regulation lowers compliance costs in the short term but weakens centralized detection capacity.

Action (48 hours) — Audit client compliance with dependencies on SEC or federal guidance. Prepare to fill gaps with private frameworks.

SourcesLathamGovCon Law Blog

Editor Commentary — MSPs may see clients outsourcing more compliance oversight. Less federal guidance means more private audits and frameworks—new service lines if you move quickly.

TeKnowledge Launches AI Security Suite

What happened — TeKnowledge released an AI-Ready Security Suite with AI-aware pen testing, secure migrations, and continuous monitoring.

MSP Impact — Validates demand for AI-specific managed security. Early movers can add margin with governance bundles.

Action (48h) — Evaluate partner options for AI security services. Position AI governance as a proactive upsell for Q4.

SourcesTechAfricaNewsTeKnowledge

Editor Commentary — This isn’t just a launch; it’s a signal. AI security is now a product line. MSPs who don’t adapt will lose enterprise accounts to AI-ready competitors.

WEEKEND READING

NEXT WEEK PREVIEW

Monday: Cybersecurity Awareness Month kickoff – “Building a Cyber Strong America”
Wednesday: CISA KEV remediation deadline for TP-Link and other vulns
Looking Ahead: MSP pricing shifts as Microsoft licensing changes ripple through Q4

Week’s Bottom Line:
MSPs face a one-two punch: nation-state zero-days in critical platforms and collapsing trust in AI security controls. Survival depends on faster patch cadences, AI-specific governance, and stronger client advisory on compliance.

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