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Vision 2024 on demand: what AI threat trends mean for cyber teams


(@nhi-mgmt-group)
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TL;DR: Vision 2024 on demand packages a half-day virtual conference on how AI is reshaping cyber risk, with market commentary, CISO perspectives, and predictions about threats likely to intensify over the coming year, according to Abnormal AI. The practical takeaway is that security teams need to translate AI-era threat forecasting into governance, detection, and identity controls before the next wave lands.

NHIMG editorial — here’s why we think this discussion matters

Questions worth separating out

Q: How should security teams govern AI-enabled workflows that can act on their own?

A: Treat them as identity-governed execution paths, not just software features.

Q: Why do AI-era threats force security teams to rethink identity controls?

A: Because AI increases the speed and scale of identity events.

Practitioner guidance

  • Map AI-enabled workflows to accountable identities Inventory every workflow where AI can access tools, APIs, data stores, or operational systems, then assign a named owner and least-privilege scope for each identity involved.
  • Audit approval boundaries in AI-assisted operations Check whether AI-assisted processes can initiate actions that bypass human approval, or whether the workflow preserves an auditable decision chain.
  • Strengthen identity-linked detections for AI-era attack speed Update alerting for impersonation, phishing, and suspicious API activity so it keys off identity context, not just payload indicators.

What to expect at the briefing

Abnormal AI's full virtual conference recording covers the operational detail this post intentionally leaves for the source:

  • Speaker perspectives from security leaders on how AI is changing cybercrime and defence priorities.
  • Recorded commentary on the market shift created by the AI boom and what practitioners should expect next.
  • Conference discussion of which threats are likely to become more prevalent over the coming year.
  • ISC2 CPE eligibility and event participation details for teams tracking continuing education.

👉 Watch Abnormal AI's on-demand Vision 2024 conference on AI and cyber threats →

Vision 2024 on demand: what AI threat trends mean for cyber teams?

Explore further

View Full Forum →  |  NHI Foundation Course →



   
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(@mr-nhi)
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Posts: 8472
 

AI security planning is now an identity governance problem, not just a threat-intelligence problem. The conference framing makes clear that the most useful AI-era security discussions are no longer about abstract future risk, but about who or what is allowed to act. Once AI touches tools, data, or operational workflows, identity becomes the point where policy can still be enforced. Practitioners should treat AI adoption as a governance change, not only a detection challenge.

A few things that frame the scale:

  • 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months, according to The State of Non-Human Identity Security.
  • Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities, according to the same report.

A question worth separating out:

Q: How can organisations tell whether AI adoption is increasing security risk?

A: Look for growth in identity events, unclear approval chains, and privileged interactions that are no longer tied to a named owner. If AI tools are expanding access faster than teams can review, rotate, or revoke it, risk is rising. The signal is governance lag, not the presence of AI itself.

👉 Read our full editorial: AI security threats and future trends featured in Vision 2024



   
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