Six months to prepare: what AI-powered cybercrime means for your clients
AI is changing cybercrime faster than many organizations are adapting. This practical webinar explores what’s changing, where new vulnerabilities are appearing, and what MSPs and security teams can do now to strengthen their defenses before the next generation of AI-enabled attacks becomes more widely accessible.
Something changed in how cybercrime works, and most organizations haven’t caught up. AI is now exposing industrial control systems to attackers with no prior operational technology (OT) expertise, defeating voice and video authentication, and outperforming professional red teams at phishing.
At the same time, a criminal marketplace for jailbroken and guardrail-free AI models has moved from the dark web into plain sight, indexed by Google and running on the same infrastructure as legitimate software. New research shows these guardrail-free models were downloaded tens of millions of times in a single 30-day window.
Inside your clients’ businesses, the exposure is just as real. Employees are adopting AI agents and installing agent skills faster than IT teams can govern them, and 1 in 5 organizations has already suffered a breach linked to shadow AI. Meanwhile, a new generation of AI models built to find software vulnerabilities is arriving faster than defenders can patch against them. Researchers estimate organizations have perhaps six months before AI capable of finding zero-days at scale becomes available to criminals. This session walks MSPs through what’s actually driving that clock, and what to prioritize with clients before it runs out.
What attendees will learn
- Why AI has lowered the technical bar for attack, from critical infrastructure to small businesses
how shadow AI, unsanctioned tools, agent skills, and unmanaged accounts are creating a client-side attack surface most MSPs can’t currently see. - What AI-powered vulnerability discovery means for patch timelines, and why the gap between patch release and exploitation is closing
- The three areas researchers say matter most in the six-month window ahead: aggressive patching, continuous monitoring, and shadow AI governance
Additional Details
What You'll Learn
Learn how AI is lowering the technical barriers to cybercrime, how unauthorized or poorly governed “shadow AI” can create new security exposures, and why faster AI-assisted vulnerability discovery could compress traditional patching timelines. Participants will also learn three areas ThreatDown researchers recommend organizations prioritize: aggressive patch management, continuous monitoring and effective shadow-AI governance
Why This Matters
AI-enabled cyber threats are moving from a future concern to an operational cybersecurity issue. ThreatDown's research argues that organizations have a narrowing window in which to improve visibility, vulnerability management, identity protection and oversight of AI tools before increasingly capable attack technologies become more broadly accessible.
Action Level - LEARN
What You'll Leave With
A practical three-priority cybersecurity readiness framework centered on: stronger and faster patch management; continuous security monitoring; identifying and governing shadow AI and unmanaged AI tools. Participants should also leave with a clearer understanding of how AI changes vulnerability discovery, phishing, identity attacks and the cybercrime skills barrier
Best For - Community Leaders, Systems Designers, Educators, Journalists / Media, Businesses, Investors / Funders, Local Governments, Policymakers, NGOs / Civil Society, Technology Professionals
Systems It Connects To - Personal & Digital Democracy, ICT & Cybersecurity, Public & Planetary Health, Smarter Cities & Communities, Ethical Finance
Languages - English