Knowing you were attacked is not the same as knowing who attacked you, why, and what they will do next. Threat actor attribution maps adversary identity, objectives, capabilities, and infrastructure — giving your team the intelligence needed to defend effectively and anticipate future activity.
Technical indicators get patched. The adversary does not go away. Understanding who is behind an attack, what their objectives are, and what infrastructure they control is what allows you to get ahead of the threat — not just clean up after it.
Without attribution, you cannot know whether an attacker was after data, access, disruption, or espionage — and whether the attack is finished or just beginning.
Actors who successfully breach a target rarely stop. Attribution identifies patterns that predict re-engagement and enables proactive blocking of new infrastructure before it's used.
Executives, boards, and regulators increasingly expect an answer to "who was responsible?" Structured attribution provides defensible, evidence-based conclusions with confidence levels.
Generic defenses miss actor-specific TTPs. Knowing the adversary — their tools, techniques, and targeting priorities — allows your team to tune controls to the actual threat.
You do not need an ongoing breach to commission attribution research. Understanding which actors are actively targeting your sector, geography, or organization type is valuable intelligence at any time.
Parallel to incident response — identifying the actor while remediation is underway allows the response to be calibrated to the adversary's likely next moves.
Suspicious activity without clear attribution — unusual access patterns, lateral movement, or data staging — that your internal team lacks resources to fully investigate.
Commissioned proactively — understand which APTs and cybercriminal groups are currently active against organizations in your sector, geography, or size profile.
Understanding whether a target organization is being actively pursued by a known threat actor — and whether prior breaches have been fully contained — is material due diligence.
Attribution analysis draws on incident data, threat intelligence databases, OSINT, dark web monitoring, and proprietary actor tracking to build a structured adversary profile.
Every attribution conclusion is presented with an explicit confidence level — Low, Medium, High, or State-Adjacent — based on the volume and quality of evidence supporting it. We do not speculate.
We receive available incident data, IOCs, network logs, and malware samples — or proceed from an open-source starting point if no internal data exists. NDA executed prior to any data transfer.
Malware, infrastructure, and behavioral indicators are analyzed and cross-referenced against known actor databases, threat intelligence feeds, and historical campaign data.
Actor forums, leak sites, Telegram channels, and paste sites are monitored for activity, claimed responsibility, or data related to your organization or sector.
Findings are assembled into a structured attribution hypothesis. Each conclusion is graded by evidence quality — and competing hypotheses are presented where evidence does not support a single conclusion.
Technical and executive versions of the report are delivered. A briefing call covers findings for the security team. A separate board/leadership summary is available on request.
Details have been modified to protect client confidentiality.
A European software company discovered unusual data access patterns — low-volume, slow-moving lateral movement consistent with a deliberate, long-duration operation rather than an automated scan. Their MSSP had flagged the indicators but could not attribute or characterize the actor.
Analysis of the implant used revealed a code family previously observed in three separate campaigns against European software supply chain companies over eighteen months. The C2 infrastructure was partially shared with a campaign attributed with medium-high confidence to a state-adjacent actor with a known interest in European technology transfer. The actor's dark web presence confirmed active access brokering in the software and SaaS sector.
Attribution analysis is most valuable when started early. Contact us to discuss your situation and what an engagement can realistically determine.