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Detection Is Not Investigation

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Detection tells you something happened. Evidence lets you determine what happened.

Security operations have become very good at producing signals.

EDR, XDR, SIEM, identity threat detection, cloud security posture tools and threat intelligence services can identify suspicious behaviour in seconds. Detection engineering has matured, ATT&CK-mapped rule sets are widely shared, and AI is increasingly helping analysts triage the queue.

But an alert answers a very specific question:

Where should we start looking?

It doesn’t necessarily answer the question the business, the board and potentially the regulator will ask next:

What happened?

The gap between the alert and the answer

That distinction surfaces repeatedly across this week’s InfoSec World and CyberCon programs.

InfoSec World’s From Alert to Evidence session opens with a line every SOC lead will recognise: security tools can generate a high-confidence alert in seconds.[1] Determining what actually occurred — how the attacker got in, how far the activity spread, which systems and data were affected — can still take hours or days. A Threat Summit session, From Chasing Alerts to Understanding Attacks, traces one organisation’s move from reactive alerting to kill-chain-aware detection, built on better visibility and contextual investigation.[2] At CyberCon, sessions on incident pre-mortems and security architecture “whodunits” ask the same question from the response side: when an incident is reconstructed after the fact, where do the gaps turn out to be?[3]

The industry data points the same way. IBM’s Cost of a Data Breach Report 2025 puts the mean time to identify and contain a breach at 241 days — a nine-year low, but still the better part of a year.[4] Mandiant’s M-Trends 2026 reports a global median dwell time of 14 days, up from 11, rising to a median of 122 days for cyber-espionage intrusions. It also reports that the median time between initial access and hand-off to a secondary threat group fell from more than eight hours in 2022 to 22 seconds in 2025.[5]

Attackers are moving faster. Investigations still have to look back further.

This is fundamentally an evidence problem.

Start before the alert

Imagine an identity alert fires at 10:17 on a Tuesday morning: an impossible-travel sign-in for a privileged account, followed by an unusual Kerberos service-ticket request.

The detection did its job. Now the investigation begins, and it needs to determine:

  • when the credentials were first compromised;
  • which device originally authenticated, and how;
  • whether authentication occurred from another location or network;
  • what privileges the account held at the time;
  • whether those privileges changed — and who changed them;
  • which systems the identity subsequently accessed;
  • which processes executed on those systems;
  • whether administrative or remote-access tools were used;
  • whether data was accessed, staged or moved; and
  • whether similar activity occurred previously.

The alert at 10:17 may be just one event in a sequence that began days, weeks or months earlier. In MITRE ATT&CK terms, a Valid Accounts (T1078) intrusion often looks like legitimate activity until a specific behaviour trips a rule — by which point the useful evidence is in the past.

The investigator therefore needs something much broader than the detection itself. They need a timeline of evidence.

What that timeline is made of

For a Windows-centric identity compromise, a credible reconstruction will typically lean on events such as these:

Question Typical evidence
How and where did the account authenticate? 4624 (successful logon — with logon type, e.g. 3 network, 10 RemoteInteractive), 4625 (failed logon), 4776 (NTLM credential validation), 4768/4769 (Kerberos TGT and service-ticket requests); identity-provider sign-in logs
Were credentials used explicitly or elevated? 4648 (logon with explicit credentials), 4672 (special privileges assigned to new logon)
Did privileges change? 4728 / 4732 / 4756 (member added to security-enabled global / local / universal group); directory audit logs; cloud role assignments
What ran on the host? 4688 (process creation, ideally with command-line auditing enabled), 7045 (service installed), 4698 (scheduled task created)
Did anyone tamper with the record? 1102 (audit log cleared)
What happened beyond the endpoint? Cloud control-plane events (e.g. role assumption, policy changes), SaaS admin and data-access events, VPN, firewall and proxy logs

Each of those event IDs is precise. None of them, on its own, is an investigation. The value comes from placing them in sequence — and that only works if they were collected, retained and can be searched together.

Evidence rarely lives in one place

A modern investigation can require events from:

Endpoints and servers — authentication, process execution, services, file activity, configuration changes and administrative events.

Identity systems — logons, authentication failures, privilege changes, MFA activity, service-account use and directory changes.

Cloud infrastructure — control-plane actions, workload events, configuration changes and access activity.

SaaS platforms — user activity, administrator changes, application permissions and data access.

Network and security infrastructure — connections, VPN sessions, policy changes, firewall activity and security-control events.

The challenge isn’t simply collecting each dataset. It’s being able to correlate them. An investigator needs to move from:

identity → device → access → privilege → action → destination → outcome

without losing the thread because one dataset has expired, another was never collected, timestamps aren’t aligned, or the evidence sits in a system the investigation team can’t readily search.

Time alignment deserves special mention. Endpoint logs recorded in local time, cloud logs in UTC and an appliance with a drifting clock can turn a clean sequence into an argument about which event came first. Normalising timestamps at collection — and keeping time sources synchronised — is one of the least glamorous and most valuable investigation controls an organisation can have.

Historical evidence matters

NIST’s current incident-response guidance, SP 800-61 Revision 3, reframes incident response as part of broader cybersecurity risk management, structured around the CSF 2.0 functions rather than as a process that begins only once an incident is declared.[6] Preparation — Govern, Identify and Protect — is treated as part of the response capability, not a precursor to it.

Logging architecture belongs in that preparation.

Mandiant’s M-Trends 2026 makes the consequence of under-preparation explicit. Discussing a campaign with dwell times approaching 400 days, it observes that standard 90-day log retention policies leave organisations blind to the initial access vector and the full scope of the intrusion, and recommends extending retention well beyond 90-day windows.[5]

The practical lessons are uncomfortable but straightforward:

  • The time to discover that an important identity log was retained for only seven days is not on day eight of an investigation.
  • The time to discover that a server’s local Security log rolls over every few hours under load is not when you need last week’s 4624s.
  • The time to discover that endpoint evidence lives in one platform while cloud and SaaS evidence sits somewhere else is not while trying to establish lateral movement.
  • And the time to decide whether historical logs are trustworthy is not when they’re about to be presented as forensic evidence.

Collection needs to support investigation

That means security teams need to think beyond:

“Are we collecting logs?”

and ask:

“Could we reconstruct an incident from them?”

Those aren’t the same question. Each property of a logging architecture maps to a specific way an investigation can stall:

If collection lacks… The investigation suffers from…
Coverage Blind spots — systems, identities or SaaS tenants that generated no evidence
Retention Historical gaps — the evidence existed, but expired before it was needed
Integrity Doubt — the record can’t be shown to be complete and unaltered
Searchability Delay — the evidence exists but takes days to retrieve or rehydrate
Context Manual reconstruction — analysts stitching relationships between millions of events by hand

The joint SIEM and SOAR guidance published in 2025 by ASD’s ACSC, CISA and international partners makes the same point from the other direction: the absence of logs from systems should itself be a concern to organisations, and a log retention and archiving policy should be implemented — at a minimum, one year for logs recording administrative and security-related events.[7]

Five checks for investigation readiness

  1. Pick your top three scenarios — for most organisations, privileged-account compromise, ransomware precursor activity and SaaS data exfiltration — and list the evidence each would need.
  2. Confirm collection, source by source, including identity providers, cloud control planes and SaaS audit logs, not just endpoints.
  3. Check retention against dwell time, not against licence tiers. If credible intrusions run for months, 30- or 90-day windows won’t answer the question.
  4. Normalise time at collection and verify clock synchronisation across sources.
  5. Test retrieval. Pull a 60-day-old event from each source and time how long it takes. That’s your real investigation speed.

Where Snare fits

Snare is built for this layer.

Snare Agents collect Windows, Linux and other endpoint and server events — including the authentication, privilege and process events above — at source. Identity, cloud, SaaS, network and security-infrastructure sources feed Snare Central directly via syslog, API and cloud audit feeds, with no agent required.

Snare Central retains a complete copy of that evidence for search, reporting and forensic investigation, independently of any analytics platform.

Snare Reflector routes selected events to the SIEM and other destinations based on the organisation’s own rules. Filtering shapes what each destination receives, not what is kept. Your SIEM detects; your evidence layer makes sure there’s a complete record to investigate.

Key takeaway

Detection tells you something happened. Evidence lets you determine what happened.

Your logging architecture needs to support both.

Do this, this week: Run the 30-minute Evidence Gap Drill . Pick a privileged-account compromise with suspected initial access 60 days ago, try to rebuild the timeline, and record exactly where the investigation stops.

References

  1. InfoSec World 2026, “From Alert to Evidence: Investigating Enterprise Threats in Natural Language,” Tech Theater, 14 October 2026: https://www.infosecworldusa.com/isw26/session/?iswid=4443726
  2. InfoSec World 2026, Threat Summit, “From Chasing Alerts to Understanding Attacks,” 12 October 2026: https://www.infosecworldusa.com/isw26/session/?iswid=4236937
  3. CyberCon 2026 Program, “When cyber plans fail: A pre-mortem approach” and “People, process, technology — who done it? A security architecture investigation,” 14 October 2026: https://melbourne2026.cyberconference.com.au/program
  4. IBM Security, Cost of a Data Breach Report 2025. Reported in Help Net Security, 4 August 2025: https://www.helpnetsecurity.com/2025/08/04/ibm-cost-data-breach-report-2025/
  5. Mandiant (Google Cloud), M-Trends 2026, 23 March 2026: https://cloud.google.com/blog/topics/threat-intelligence/m-trends-2026
  6. NIST SP 800-61 Rev. 3, Incident Response Recommendations and Considerations for Cybersecurity Risk Management: A CSF 2.0 Community Profile, April 2025: https://csrc.nist.gov/pubs/sp/800/61/r3/final
  7. ASD’s ACSC, CISA et al., Implementing SIEM and SOAR Platforms: Practitioner Guidance, May 2025, Principle 7: https://www.cyber.gov.au/sites/default/files/2025-05/implementing_siem_and_soar_platforms_-_practitioner_guidance.pdf
  8. MITRE ATT&CK, T1078 Valid Accounts: https://attack.mitre.org/techniques/T1078/
  9. PCI Security Standards Council, Payment Card Industry Data Security Standard (PCI DSS) v4.0.1, June 2024, Requirement 10.5.1: https://www.pcisecuritystandards.org/document_library/
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