Newsletter Article

The Investigation Window Is Closing

For years, security teams have worked under the assumption that vulnerability disclosure, patch availability, and exploitation would occur in a relatively predictable sequence. That sequence is breaking down.

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A Ten-Year Collapse

Mandiant’s M-Trends 2026 report tracks the mean time to exploit, the gap between a vulnerability becoming known and attackers first exploiting it,  across its frontline caseload. In 2018, that window was roughly 63 days. It crossed zero in 2024. In 2025, it fell further still.

−7 DAYS

The estimated mean time to exploit newly disclosed vulnerabilities in Mandiant’s 2025 caseload — meaning exploitation is now routinely occurring before a patch is even available. [3]

The AI Acceleration Effect

AI does not need to invent an entirely new category of attack to change the threat landscape. Its immediate impact is speed. Mandiant’s data points to AI increasingly being used across reconnaissance, exploit development, and social engineering. AI can help attackers:

  • Analyse exposed applications and infrastructure.
  • Identify potentially exploitable code paths.
  • Generate and refine attack scripts.
  • Personalise social-engineering campaigns.
  • Adapt techniques after defensive controls are encountered.
  • Scale reconnaissance across more targets.

What This Means Operationally

A monthly vulnerability scan may no longer provide enough visibility. A delayed patching cycle may leave systems exposed before teams know a vulnerability exists. An investigation that takes several days to assemble may be completed only after an attacker has already established persistence or exfiltrated data.

The logging implications

When the time between exposure and exploitation collapses, historical evidence becomes critical. Security teams need to be able to look backwards and determine whether activity occurred before a vulnerability was disclosed or a detection rule was available. That requires more than retaining security alerts — it requires access to the underlying events:

  • Authentication activity, and process creation and privilege escalation.
  • Administrative actions and configuration changes.
  • Application requests and file creation or modification.
  • Network connections and cloud control-plane activity.
  • Service and scheduled-task creation.

The value of logging is not limited to detecting known threats in real time. Logs allow security teams to investigate newly discovered threats against activity that has already happened.

The Snare Perspective

When mean time to exploit is negative, “we’ll add that log source once we see a problem” stops being a viable strategy — the intrusion may already be over by the time the problem is identified.

Snare Agent and Snare Central are built to collect and normalise the breadth of authentication, process, and administrative events this kind of retroactive investigation depends on, while Snare Reflector keeps that volume affordable enough to retain for as long as AI-accelerated exploitation now demands.

AskSnare then lets a team ask, the day a new CVE breaks, “have we already seen this pattern?” — turning historical logs into an early-warning system rather than an archive

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