Topic starter
27/06/2026 1:51 pm
TL;DR: Identity-based access appears in more than 60% of incident response engagements and nearly 70% of ransomware intrusions begin with valid accounts, while AI is lowering the effort needed to scale reconnaissance, social engineering, and OAuth branding, according to Abnormal AI. The real failure is not just detection lag but the assumption that approval screens and post-authentication trust still provide enough friction to expose abuse.
Editorial analysis by NHI Mgmt Group, based on content published by Abnormal AI: “Why Identity Abuse Defines Modern Account Takeover”.
By the numbers:
- More than 60 percent of incident response engagements involve identity-based access, according to Abnormal AI.
- Nearly 70 percent of ransomware intrusions begin with valid accounts rather than exploited vulnerabilities, according to Abnormal AI.
- Nearly 80 percent of modern intrusions are malware-free, according to Abnormal AI.
Key questions
Q: How should teams detect account takeover when attackers use valid accounts and OAuth approvals?
A: Teams should correlate identity, email, session, and SaaS activity into one behavioural view so that small anomalies become a case only when they form a sequence.
Q: Why do OAuth consent attacks create account takeover risk even with MFA?
A: MFA protects the authentication step, but OAuth consent abuse targets the authorization step.
Q: What are the signs that identity notification workflows are being abused?
A: Look for tenant-name abuse, callback numbers in verification emails, long scam text inserted into branding fields, and Unicode lookalikes that defeat scanning.
Practitioner guidance
- Correlate post-authentication behaviour Join identity, email, SaaS, and session telemetry so that weak signals become one account-takeover case instead of separate low-priority alerts.
- Govern OAuth consent as access Review OAuth app approvals, delegated permissions, and token issuance as a privileged workflow rather than a routine user click path.
- Detect behavioural drift, not indicators Tune detections for sequence changes in reading patterns, access paths, and workflow timing because valid accounts rarely look malicious in isolation.
Bottom line: Modern account takeover increasingly succeeds by operating inside trusted identity flows rather than by breaking into systems with malware or exploits.
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This topic was modified 3 days ago by NHI Mgmt Group
27/06/2026 3:20 pm
Trusted identity flow abuse is now the core account takeover pattern. The important shift is not just that attackers use valid accounts, but that they operate entirely inside the trust decisions identity systems are designed to make. Authentication succeeds, session trust propagates, and the rest of the workflow often inherits that legitimacy. Practitioners should read this as a governance failure in post-authentication trust, not just a detection gap.
A question worth separating out:
Q: Who is accountable for securing post-authentication identity behaviour?
A: IAM, SOC, and application owners all share responsibility because the risk spans sign-in, token issuance, session use, and SaaS interaction. If ownership stops at authentication, the organisation leaves the trusted-workflow layer ungoverned, which is where modern account takeover increasingly operates.
👉 Read our full editorial: AI account takeover now starts inside trusted identity flows
This post was modified 3 days ago by NHI Mgmt Group