Field guides for enrollment fraud detection
Analysis for teams detecting fake documents, synthetic identities, account misuse, and broker-driven enrollment abuse.
Why 23 of 24 Fake Applications Were Approved and How to Close the Front Door
The GAO slipped 24 fraudulent applications past marketplace controls. We break down each fraud vector and map the front-door detection architecture that stops them.
Cross-Account Identity Attacks: How Lateral Movement Exploits AWS Trust Policies
Attackers exploit cross-account role assumptions and confused deputy vulnerabilities to move laterally across AWS environments. Identity-level detection catches these attacks before network tools see them.
The ITDR Buyer's Checklist: What to Evaluate Before You Sign
A practitioner's framework for evaluating identity threat platforms. Coverage depth, detection methodology, automation maturity, and the 12 questions vendors hate answering.
CloudTrail Is Not Enough: What Your Identity Detection Stack Is Missing
CloudTrail logs events, but without behavioral baselines, identity resolution, and NHI lifecycle tracking, you're blind to the threats that matter. Here's what a complete stack looks like.
Progressive Response Automation: Five Levels from Alert to Autonomous Action
Graduate from alert fatigue to autonomous response with a trust-based framework. Each level builds confidence through metrics, guardrails, and rollback - no blind leaps to automation.
Securing AI Agents in Production: Identity Guardrails for Autonomous Systems
AI agents with AWS permissions operate beyond human oversight. Learn how to monitor autonomous identity behavior, detect prompt-injection attacks, and build kill switches before agents escalate privileges.
The Service Account Time Bomb: Auditing AWS Non-Human Identity Sprawl
97% of non-human identities have excessive privileges. We audited 200+ AWS accounts to quantify the NHI sprawl crisis and built a practical remediation framework.
Building a Zero-Trust Detection Pipeline with Identity-First Monitoring
Map the architecture of an identity-centric detection pipeline: CloudTrail ingestion, behavioral baselining, anomaly scoring, and progressive response. Zero-trust principles apply to detection too - verify every identity action, assume breach.
SIEM vs AI-Native Detection: Why Log Queries Can't Stop Identity Attacks
SIEMs take 28 days to detect compromised credentials. Purpose-built ITDR platforms catch them in 4 hours. Here's why traditional log aggregation fails for modern identity threats.
AI Anomaly Detection: How Pattern Recognition Prevents Identity Breaches
Behavioral baselines catch compromised credentials 3-5 days faster than static rules. Learn how CloudTrail event patterns reveal role assumption attacks, impossible travel, and API abuse.
Why Identity Is the New Security Perimeter
The traditional network perimeter is gone. With cloud-native architectures, remote workforces, and AI agents, identity has become the true boundary that separates trusted access from threat.
How to Monitor AI Agents in Your AWS Environment
AI agents are making API calls across your AWS accounts right now. Most security teams have no visibility into what these agents do, which roles they assume, or whether their behavior is normal.
The Non-Human Identity Problem: Why Service Accounts Are Your Biggest Blind Spot
Non-human identities outnumber human users 10-to-1 in most organizations. Yet the majority of security tooling focuses on human access reviews and permission policies, not runtime behavior.
Progressive Trust: A Better Model for Cloud Security Automation
Security automation does not have to be all-or-nothing. Progressive trust introduces five levels of autonomy, letting teams build confidence in automated responses over time.