Defending Against AI-Enabled Phishing and Deepfakes
The $25M Arup deepfake Zoom scam proved AI-generated fraud is real. Here is how organizations need to restructure verification and authorization workflows.
Deliverables
What you get.
AI-assisted alert triage
Cut false positives and compress MTTR with LLM-powered enrichment that clusters, explains, and prioritizes alerts — with your SOC in the loop.
Detection engineering uplift
AI-authored detections reviewed by humans. Every rule gets a plain-English intent, test coverage, and noise review before production.
Phishing & deepfake defense
Inbound content scoring, voice-clone detection workflows, and executive-specific training for the threats that bypass standard gateways.
Microsoft Sentinel & SIEM tuning
Deep expertise in Sentinel KQL, analytic rules, and cost control. We make your SIEM do more and alert less.
Incident response playbooks
AI-enhanced runbooks that pull context, draft comms, and log evidence — so your responders focus on decisions.
FAQ
Common questions.
Do you replace our SOC or augment it?
Augment. Our engagements make the team you already have more effective. We are not a managed SOC.
Which SIEMs do you work with?
Primary expertise in Microsoft Sentinel. We also work with Splunk, Elastic, and Panther.
Can AI triage introduce risk?
Yes, if deployed poorly. We keep humans in the loop for every irreversible action and log every AI decision for review.
Related insights
Writing on AI-Powered Cybersecurity.
AI in Log Analysis: From Noise to Narrative
Security logs contain everything that happened. AI turns that raw data into the story of what attackers did — faster than any human analyst team can manage.
Using AI to Triage SOC Alerts at Scale
Alert fatigue kills SOC effectiveness. AI-assisted triage cuts false positives, surfaces real threats faster, and frees analysts for judgment-requiring work.