The identity control plane is now the primary battleground, and it was not built for machine-speed adversaries. Standing privileges, long-lived service account credentials, unenforced MFA on legacy protocols, and stale entitlements are exactly the conditions that AI-powered tooling is engineered to discover and chain, often within a single automated sequence. These are not new weaknesses, but the tolerance for leaving them in place has effectively dropped to zero.
Traditional identity controls were architected around discrete events: a login, a privilege grant, a periodic access review. Autonomous attackers built on frontier models do not respect those boundaries. They treat every authenticated session, every dormant service account, and every legacy authentication path as a potential pivot point, and they enumerate and exploit them at a pace that leaves posture-based hygiene and after-the-fact log correlation functionally blind.
Identity is where this collision is happening first. Standing privileges, unmonitored service accounts, unenforced MFA on legacy protocols, long-lived credentials, and stale entitlements are the exact weaknesses that AI-accelerated attacks probe and chain within minutes, and they sit largely outside the visibility of endpoint and network controls.
This Real Training for Free session cuts through the noise around "AI attacks" and gets into the technical reality of what an AI-accelerated kill chain actually looks like, where it breaks existing SOC assumptions, and what it means to enforce identity security at runtime rather than at the edges of a session.
Up first, 4-time Microsoft MVP Nick Cavalancia takes my seat as he sets the stage, covering:
- How frontier AI models are reshaping attacker economics and collapsing kill chain timelines
- Why identity has become the primary control plane for detection, containment, and response
- Where periodic authentication, standing privilege, and log-based correlation break down at machine speed
- The strategic shift from posture-based identity hygiene to runtime, context-aware enforcement
Up next, we'll hear from Rob Ainscough, Chief Identity Security Advisor for EMEA at Silverfort, who will walk through the concrete anatomy of an AI-accelerated attack and demonstrate what runtime identity enforcement looks like in practice, covering:
Anatomy of an AI-Accelerated Kill Chain
- How autonomous tooling chains reconnaissance, exploitation, and credential harvesting in a single sequence
- Why SOC workflows built around human time-to-observe and correlate fail at machine speed
- Real scenario walkthroughs, not slideware, of end-to-end AI-driven compromise
Identity Weaknesses Exploited First
- Standing privileged access and long-lived credentials
- Unmonitored non-human identities, service accounts, and API keys
- Legacy authentication protocols with no support for step-up or continuous verification
Stress-Testing Common Identity Controls
- How MFA, PAM, and conditional access hold up against machine-speed attack scenarios
- Gaps in coverage for legacy protocols, command-line tools, and non-interactive logons
- Where post-authentication assumptions break down
Runtime Identity Enforcement in Practice
- Evaluating device, behavior, and risk context on every access request
- Dynamically allowing, challenging, or blocking access in real time
- Extending policy enforcement across human, service, and machine identities
Join us to see what an AI-speed kill chain actually looks like end to end, understand exactly where identity controls break under machine-speed pressure, and learn what it takes to enforce identity security at runtime across human, service, and agentic identities.
This Real Training for Free Session will be full of real-world practical application.