Introducing SpyCloud Research Agent: Agentic investigations powered by a trillion recaptured identity assets and decades of real investigative tradecraft.
TL;DR
- Research Agent plans and executes investigations automatically. It sequences investigation pivots on its own rather than acting as a simple chatbot.
- It's powered by over one trillion recaptured identity assets. This massive data foundation includes infostealer logs, phishing kits, and data breaches.
- Every finding cites specific records. This verified intelligence allows analysts to corroborate conclusions and eliminate AI hallucinations.
- It surfaces 8x more identity records than standard queries. Research Agent also finds 14x more plaintext passwords compared to exact-match searches.
It operates on continuously updated criminal intelligence. This live intelligence pipeline beats static, outdated training models.
Let's talk about AI fatigue (we'll keep it brief)
If you have been in security for more than five minutes, you’ve seen this movie before. New technology category emerges. Every vendor slaps it on their product page. Practitioners get burned by confident-sounding tools that fall apart on contact with a real investigation. Skepticism hardens. Trust erodes.
That is a completely rational response to what the market has served up. Most AI investigation tools are a chat interface bolted onto mediocre data, alongside a press release full of words like ‘transformative’ and ‘cutting-edge.’
We know. We’ve seen those press releases too.
So before we tell you what Research Agent does, let’s start with the thing that really matters: the foundation it was built on.
The foundational AI problem nobody talks about
Here’s the thing about AI investigation tools that most vendors quietly skip over: the reasoning layer is only as good as the intelligence it has at its disposal. A brilliantly-designed agent operating on shallow, stale, or breach notification-level data returns fast answers that are wrong in exactly the ways that matter.
But data alone is not enough either. An agent with access to deep intelligence but doesn’t know what to do with it is just a faster search bar. The two things have to compound: the right data, AND the right reasoning built on top of it.
SpyCloud has spent over a decade building both.
Our data foundation is a continuously-updated recaptured identity corpus: currently over one trillion identity assets sourced directly from infostealer malware logs, active phishing kit infrastructure, and data breaches circulating in closed criminal communities.
When Research Agent runs a pivot, it’s reaching into the actual criminal underground, and very often into the past – when criminals weren’t as savvy with their OPSEC. It’s accessing fresh data, plaintext credentials, session cookies and refresh tokens in the state an attacker would use them, malware telemetry from infected devices, geolocation and other details that form the full picture of identities.
This is a decade’s worth of data collection that can’t be replicated, combined with decades of real investigative tradecraft from SpyCloud’s own team – encoded into the agent’s core logic. It’s not a generic AI capability, nor is it a simple prompt somebody wrote in an afternoon while they were watching re-runs of Gilmore Girls (tangent, but I time my reruns according to seasonality, so I am at the part when she is on a break from Yale). Research Agent is built on the actual methodology that SpyCloud’s investigators use to close cases and train analysts at enterprises and federal agencies.
Both matter. One trillion identity fragments and the tradecraft that ties them together, making threat actor attribution and insider threat detection possible.
“SpyCloud has always believed that the real advantage in investigations comes from giving every analyst access to the kind of judgment that only comes with years in the field. What gets me every time is watching a less experienced analyst run an investigation that a senior analyst would be proud of, without knowing they did anything extraordinary. The tradecraft is just there. That’s when you realize this is something fundamentally different.”
So what is SpyCloud’s Research Agent, exactly?
Research Agent is an agentic investigation workflow now live inside SpyCloud Cybercrime Investigations. Give it a question, a hypothesis, a subject’s name, or a messy batch of mixed assets (emails, IPs, domains, usernames, machine IDs) and it runs the investigation.
Here is what that looks like in practice:
Who Research Agent is for: Everyone on your team, in different ways
Let’s be direct about something that most AI tool announcements get wrong. When vendors say their AI ‘democratizes’ expert-level capability, what they usually mean is: people can now do mediocre work slightly faster.
That is not what we’re after at SpyCloud.
Research Agent is genuinely useful to every analyst on your team, and in meaningfully different ways depending on where they sit and the problems they are trying to solve.
FOR SENIOR ANALYSTS: Get your time back
Senior analysts spend a significant portion of their investigation time on mechanics – constructing pivot queries, manually tracing identity connections, chasing down associations. That is time taken away from the work that requires their judgment – things like interpreting context, identifying threat actor patterns, making judgement calls, and producing finished intelligence that means something to a stakeholder.
Research Agent handles the mechanics for you. The investigative methodology encoded in the agent is built from the same tradecraft senior analysts use successfully. The difference is that running those pivots now happens automatically, in seconds.
FOR JUNIOR ANALYSTS: A decade of investigative tradecraft in your corner
Junior analysts haven’t fully built the pattern recognition skills that only come from many years of running investigations. They may not yet know which pivot is worth running on a suspicious domain, or how to distinguish a meaningful connection from noise across fragmented indicators.
Research Agent encodes exactly that knowledge. Not as a rigid workflow, but as reasoning that adapts to the investigation at hand. Junior analysts can run the same investigation quality as senior analysts without needing a decade of instinct-building to get there first. It doesn’t replace judgment; rather it gives developing analysts a partner that’s already done the learning.
The staffing math is brutal and it is not getting easier. Most security teams are running fewer analysts than their investigation volume demands, and the quality of closed cases depends too heavily on who picks them up. Research Agent does not solve the staffing gap – it changes what’s possible within it.
A note on intelligence freshness, because it matters more than most vendors admit
Research Agent doesn’t operate on a static trained model. Every investigation runs against SpyCloud’s live criminal intelligence pipeline – the same recaptured records that feed every other SpyCloud product – continuously updated as new data surfaces in the underground.
Why does this matter? Because investigations are not static either. A threat actor’s infrastructure evolves. An identity accumulates new exposure over time. An indicator that returned nothing last week may connect to a cluster of activity this week.
When you return to a case and follow a new thread, there is more contextual data ready for you. We take our claims seriously, and our expertise is built around rapidly and continuously recapturing the data that’s valuable to criminals and about criminals.
What Research Agent is not
A few things worth clarifying, because the AI category has earned the confusion:
- It is not a chatbot – It does not generate summaries of things it does not know. Every answer traces to specific records recaptured by SpyCloud.
- It is not a search bar with a friendly interface – It plans investigations. There is a difference between a tool that retrieves records matching your query and one that decides which queries are worth running before it retrieves anything.
- It is not replacing your analysts – It gives them a partner that handles the mechanics so they can spend their time on the work that requires a human.
- It is not just a feature – SpyCloud’s Research Agent, IDLink, and AI Insights represent a complete rethink of what an investigation console can do: automated identity correlation, agentic investigation planning, and finished intelligence output in the time it used to take to open a new tab.
“There was a case I worked at the FBI that took eight months — and I knew exactly what I was trying to prove from the start. The time wasn’t the investigation. It was accessing the data, building the connections, and producing the documentation to support attribution. Research Agent collapses all of that. The connections surface automatically. The intelligence is right there. I reach the same conclusion in minutes that used to take months. I don’t have words for what that would have meant on some of the cases I worked in the past.“
How we got here: Investigation enrichment that tips the scale
Research Agent is the third major evolution of SpyCloud Cybercrime Investigations, and the three capabilities compound on each other to give teams the upper hand against threat actors.
- IDLink automated holistic identity correlation: a single search surfaces personal accounts, professional identities, historical usernames, device records, and criminal personas without separate pivot steps. 14x more identity records versus exact-match queries.
- AI Insights added one-click generation of exportable Identity Findings Reports, translating raw investigation data into finished intelligence for stakeholder delivery.
- Research Agent completes the trilogy, adding the agentic investigation layer that plans, pivots, and investigates on the analyst's behalf, grounded in the same data that powers everything else.
| CAPABILITY | FUNCTION | IMPACT |
|---|---|---|
| IDLink | Automated identity correlation | 14x more identity records vs exact-match queries. |
| AI Insights | One-click report generation | Translates raw data finished intelligence |
| Research Agent | Agentic investigation planning | Automates pivots and sequences logic |
Together, these capabilities make it so investigators like you can go from indicator to finished intelligence in the time it used to take to run the first pivot.
Research Agent is available now inside SpyCloud Cybercrime Investigations. Whether your team investigates insider threats, threat actor attribution, fraud, or DPRK-linked activity – bring your specific use case to a custom demo and see what Research Agent surfaces against our recaptured identity dataset.
The best argument for Research Agent is not this blog post. It is watching it run your hardest case.
FAQs
Research Agent plans investigation sequences, correlates identities automatically, and pivots across massive datasets in seconds, handling the mechanics that typically consume hours of analyst time while surfacing 8x more identity records and 14x more plaintext passwords than exact-match queries.
Most AI investigation tools layer chat interfaces onto shallow data and return confident-sounding answers that fall apart on real cases. Research Agent addresses this by grounding every finding in specific recaptured records that analysts can verify and cite. Research Agent plans investigations before it retrieves anything – it sequences pivots, weighs signals, and follows the logic of the threat rather than just returning matching records. It runs the actual investigative methodology SpyCloud’s team has spent decades developing vs. simply summarizing an analysis.
Drop in a mixed batch of emails, IPs, domains, usernames, or machine IDs and Research Agent treats them as a connected threat scenario, correlating across all inputs simultaneously. If the input is ambiguous, it asks a clarifying question rather than guessing.
Every finding is backed by the specific recaptured records that generated it, visible throughout the investigation. Analysts can verify conclusions, corroborate findings, and present intelligence grounded in evidence, not black-box outputs that require trust without transparency.
Research Agent encodes the investigative tradecraft that typically takes years to develop – knowing which pivot is worth running, how to distinguish meaningful connections from noise, and how to sequence an investigation. Junior analysts can run the same investigation quality as senior analysts without needing a decade of pattern recognition first.
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