Most AI security tools restate your alerts in nicer sentences. The analyst still has to figure out how the attacker got in. That’s the hard part, and it’s the part that stays on their plate.
This whitepaper tested whether two AI investigation platforms can actually do the work: trace a security alert backward through a multi-stage kill chain to the original phishing email, across email, endpoint, network, and cloud telemetry, without an analyst driving. We ran three attack scenarios in a controlled lab, mapped to MITRE ATT&CK, with the root cause defined before execution. D3 Morpheus AI found it every time. Microsoft Security Copilot found it zero times.
What You’ll Learn:
- How alert summarization and root cause analysis differ in practice, and why the gap matters for containment and remediation
- What happened in each of the three scenarios: phishing to malware and lateral movement, credential theft to mailbox compromise, and OAuth consent abuse to cloud data exfiltration
- Where Security Copilot hit specific limitations, including entity volume caps and single-ecosystem correlation boundaries
- Why modern attacks that move through identity and API layers require stitching evidence across four or more log sources
- A practical framework for stress-testing any AI investigation platform before you commit
