Topic starter
27/06/2026 1:09 pm
TL;DR: AI-powered social engineering is outpacing legacy email defenses while business email compromise has drained $55 billion from organisations since 2013, according to Abnormal AI. Legacy gateways miss more sophisticated attacks, so SOC teams need detection and response models that reduce investigation time and account for human trust abuse.
Editorial analysis by NHI Mgmt Group, based on content published by Abnormal AI: “Chaos to Control: AI-Powered SOC Transformation for Next-Gen Threat Defense”.
By the numbers:
- Business email compromise has drained $55 billion from organizations since 2013.
Key questions
Q: How should security teams respond to AI-assisted phishing and social engineering?
A: Treat AI-assisted phishing as a scale and quality problem, not just a messaging problem.
Q: Why do legacy gateways struggle with modern phishing and BEC attacks?
A: Legacy gateways rely too heavily on known indicators, while AI-assisted attacks can rewrite language, rotate infrastructure, and tailor messages to the target in real time.
Practitioner guidance
- Instrument mailbox behaviour telemetry Correlate sender anomalies, thread hijacking patterns, and unusual reply chains so suspicious conversations are visible before a user acts on them.
- Compress triage and containment workflows Define playbooks that let analysts isolate suspicious mail, freeze suspect accounts, and escalate confirmed cases without waiting for a manual queue to clear.
- Treat impersonation as an identity event Route business email compromise, vendor impersonation, and payment redirection attempts into the same governance path used for identity abuse and fraud response.
Bottom line: AI-powered social engineering turns trust into the primary attack surface, which makes legacy gateway thinking insufficient for modern SOC design.
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
This topic was modified 3 days ago by NHI Mgmt Group
27/06/2026 2:22 pm
AI-powered social engineering is a SOC design problem, not just an email problem. Legacy gateways can still catch commodity phishing, but they are weaker against persuasive, context-aware lures that borrow the tone and timing of normal business communications. That shifts the burden from perimeter filtering to cross-domain correlation across email, identity, and incident response. Teams that keep treating mailbox abuse as a silo will keep discovering compromise after the damage has already started.
A question worth separating out:
Q: How do SOC teams know whether automation is reducing risk or just hiding work?
A: They should measure whether investigation time, case quality, and containment accuracy improve together. If triage gets faster but analysts still chase missing context, the platform is only relocating labour. Real improvement shows up when duplication drops, evidence stays traceable, and the right cases rise first.
👉 Read our full editorial: AI-powered social engineering is exposing SOC blind spots
This post was modified 3 days ago by NHI Mgmt Group