Stop Phishing and BEC Before They Reach Your Employees
Social engineering is responsible for the majority of enterprise breaches — and it's evolving faster than rule-based email security can track. AI-powered social engineering detection uses behavioral analysis, language models, and sender reputation intelligence to catch sophisticated phishing, BEC, and impersonation attacks at inbox scale.
What RLM Delivers on Social Engineering Detection
Modern social engineering attacks are carefully crafted to evade traditional filters. AI detection looks beyond signatures and rules — analyzing message tone, sender behavior patterns, request context, and linguistic cues to identify manipulation attempts that no rule would catch.
How We Approach Social Engineering Detection
We work Social Engineering Detection the same way each time: establish the baseline, test the market properly, negotiate on evidence, and stay involved through implementation.
Email Security Stack Assessment
We evaluate your current email security posture — Microsoft Defender, Proofpoint, Mimecast, or others — and identify specific gaps in social engineering detection coverage where AI-powered augmentation would have the greatest impact.
AI Email Security Platform Evaluation
We evaluate platforms like Abnormal Security, Darktrace Email, and Tessian against your specific threat profile, Microsoft 365 / Google Workspace environment, and integration requirements.
User Risk Profiling Design
High-risk users — executives, finance team, IT admins — require different detection sensitivity than general population. We design user risk segmentation that applies appropriate detection levels without flooding analysts.
Security Awareness Integration
Detection technology works best when paired with a security-aware workforce. We advise on how to use AI detection data to target security awareness training to actual attack patterns hitting your organization.
Social Engineering Detection Selection Criteria
These are the dimensions we have seen separate a Social Engineering Detection deployment that works from one that quietly becomes shelfware.
Detection Rate on Novel Attacks
Signature-based tools catch yesterday's attacks. Evaluate how the platform performs against newly crafted, never-seen-before social engineering attempts — typically validated through red team exercises.
Business Email Compromise Detection
BEC attacks use legitimate accounts to request fraudulent wire transfers or credential changes. Evaluate specific BEC detection capability, including lookalike domain identification and request context analysis.
Low False Positive Rate on Business Email
Business email involves legitimate urgency, requests, and unusual communication patterns. Validate false positive rates on your actual email traffic before deployment — not on vendor-selected test sets.
Microsoft 365 / Google Workspace Integration
Native integration with your email platform is essential. Evaluate API access depth, quarantine capabilities, and the ability to remediate across the full mailbox, not just incoming messages.
Time to Detect & Quarantine
Speed of detection and quarantine matters when a BEC attack is in progress. Evaluate the end-to-end latency from email receipt to quarantine action.
Reporting for Security Awareness
Attack data should feed security awareness programs. Evaluate reporting capabilities that identify which attack types are targeting your organization and which user populations are most at risk.
"What set RLM apart was that they didn't have a preferred answer. They evaluated our options honestly and told us what they actually thought."
We are paid by the provider you choose, which means we have no reason to steer you toward any particular one.
Where This Matters Most
Sector-specific considerations we see repeatedly in ai and automation engagements.
A Sample of the AI & Automation Providers We Evaluate
RLM is vendor neutral. These are among 600+ providers in our evaluation set — inclusion here is not an endorsement, and we are paid by the provider you choose, not by any provider in particular. How that works →
Where Do You Want to Start With Social Engineering Detection?
Start with a no-cost conversation with an RLM AI advisor — vendor neutral, no agenda, just clarity.
Speak to an Advisor