On June 24, SpyCloud announced the launch of SpyCloud Research Agent, a transformative, conversational AI investigation agent now available in its Cybercrime Investigations console.
Traditional cybercrime investigations have a tax: hours of manual pivot work that experienced analysts run by instinct and junior analysts struggle to replicate. SpyCloud Research Agent eliminates it. Security practitioners – CTI analysts, SOC teams, fraud investigators, and IR leads – can now give the agent a subject, a hypothesis, or a batch of assets, and it plans the investigation, sequences the pivots, and returns finished intelligence in the time it used to take to open a new tab.
Research Agent operates directly on SpyCloud’s recaptured identity intelligence – 1T+ trillion assets from infostealer malware logs, phishing kits, combolists, and breaches – and triggers holistic identity correlation across fragmented signals automatically, in every interaction. The tradecraft encoded in Research Agent comes from SpyCloud’s decades of elite in-house cybercrime investigators, including former Federal agents and intelligence operatives.
“There’s a real and valid concern in this industry about AI tools that return confident-sounding answers with nothing behind them. We built SpyCloud Research Agent to be the opposite of that. Every finding is grounded in verified recaptured intelligence – specific records, traceable provenance, reasoning you can audit. This agent combines our proprietary identity correlation, decades of veteran tradecraft, and the enhanced analytics and linguistic capabilities of the leading-edge frontier AI models. Analysts aren’t just getting faster answers, they’re getting much more complete ones,’ said Damon Fleury, chief product officer, SpyCloud.
Unlike tools that return data and leave interpretation to the analyst, SpyCloud Research Agent thinks through the investigation before it responds. The agent accepts natural-language prompts or mixed batches of assets – emails, domains, IPs, usernames, machine identifiers – and correlates across all of them simultaneously, returning a picture of the scenario rather than a series of disconnected lookups. If an input is ambiguous, it asks a clarifying question rather than guessing. Analysts can ask it to explain its reasoning and cite the specific records behind any finding, grounding every conclusion in verified exposure evidence, the company said.
“For years there has been a huge gap in cybercrime investigations – the time and expertise required to turn seemingly disparate data into answers. Criminals fragment their identities deliberately, counting on tools to treat every artifact in isolation. SpyCloud Research Agent closes that gap – sequencing the pivots a seasoned investigator would run, applying tradecraft developed over decades of real cases, and returning finished intelligence before the investigation loses momentum,” Jason Lancaster, chief investigations officer, SpyCloud.
Source: SpyCloud
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