Anthropic's Claude reduces SOC investigations from 5 hrs to 7 min, 95% accuracy
We’ve all seen SOCs drown in alerts while the team can’t keep up. Sometimes a single incident lingers in the queue for hours, junior analysts scrolling through logs, hoping to spot the same clues that veterans would catch in minutes. That delay feels more than an efficiency problem, it can turn into a real risk when attackers move quickly.
So we tried Anthropic’s Claude, their newest large-language model, straight in a live SOC workflow to see if an AI helper could actually keep the pace. Engineers tucked the model into the existing platform, gave it access to telemetry, let it line up events and throw out next-step suggestions without waiting for a human cue. In early trials we pitted Claude’s conclusions against those of senior analysts across dozens of cases.
The outcome was surprising: the model often landed on senior-level decisions with strong confidence and shrank the typical investigation from several hours down to just a few minutes. If that speed and accuracy hold up, it could change how SOCs staff their teams and tackle threats.
The company's DevOps and engineering teams discovered that platform-integrated AI can deliver comprehensive threat investigations matching senior SOC analyst decision-making with 95% accuracy, while reducing investigation time from five hours to under seven minutes, providing a 43x speed improvement. "The ideal approach is typically to use AI as a force multiplier for human analysts rather than a replacement," Vineet Arora, CTO for WinWire, told VentureBeat. "For example, AI can handle initial alert triage and routine responses to security issues, allowing analysts to focus their expertise on sophisticated threats and strategic work." eSentire's Hillard noted: "Earlier this year, around Claude 3.7, we started seeing the tool selection and the reasoning of conclusions across multiple evidence-gathering steps get to the point where it was matching our experts. We were hitting on something that would allow us to deliver better investigation quality for our customers, not just efficiency." The company compared Claude's autonomous investigations against their most experienced Tier 3 SOC analysts across 1,000 diverse scenarios spanning ransomware, lateral movement, credential compromise and advanced persistent threats, finding that it achieved 95% alignment with expert judgment and 99.3% threat suppression on first contact.
Anthropic’s Claude seems to have cut investigation times dramatically. In eSentire’s Atlas XDR platform a five-hour deep dive now wraps up in about seven minutes, roughly a 43× speed boost. The model apparently matches senior SOC analyst decisions with 95 % accuracy, according to a VentureBeat interview.
That figure, however, comes from a single deployment, so broader validation is still pending. The drop in manual effort is obvious, yet the trade-off between speed and false positives isn’t fully quantified. The article also leaves out how the accuracy number was measured or what margin of error exists in real-world alerts.
Still, plugging AI straight into XDR tools appears to change the operational tempo of security teams. Whether other vendors can pull off similar gains is unclear, as is the long-term effect on analyst skill development. For now the data points to a notable efficiency jump, but independent testing would help confirm how robust the results really are.
The direction looks promising, though practical adoption will likely hinge on more evidence.
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Common Questions Answered
How did Anthropic's Claude impact investigation time in eSentire's Atlas XDR platform?
Claude reduced the average SOC investigation time from five hours to under seven minutes, delivering a 43× speed improvement. This dramatic reduction was observed in a real‑world deployment within eSentire's Atlas XDR platform, according to the VentureBeat interview.
What accuracy level did Claude achieve when matching senior SOC analyst decisions?
Claude matched senior SOC analyst decision‑making with 95% accuracy during the trial. The high accuracy suggests the model can serve as a reliable force multiplier for human analysts, though broader validation is still needed.
What does Vineet Arora, CTO of WinWire, say about using AI like Claude in SOC workflows?
Arora emphasizes that AI should act as a force multiplier rather than replace analysts, highlighting its role in accelerating investigations while preserving human oversight. He noted that platform‑integrated AI can deliver comprehensive threat investigations that align with senior analyst judgments.
What limitations or open questions remain regarding Claude's performance in SOC environments?
The article notes that the reported speed and accuracy figures come from a single deployment, so broader validation across different SOCs is pending. Additionally, the trade‑off between faster investigations and potential false‑positive rates has not been fully quantified.