Know which threats apply to you
AI threat intelligence, correlated with your assets and third parties before it reaches you. Mallory explains every indicator: where it came from, why it matters, and what to remediate.
You have plenty of intelligence. You still can't answer “are we impacted?”
Feeds and portals cover the same ground, and the context lives in five other tools. Mallory reconciles it, so your team starts from the answer.
From every source to one answer, automatically.
Structured and unstructured inputs feed the Intelligence and Exposure Graph: OSINT & Social Feeds, Dark Web & Forums, Malware & Exploits, Vulnerabilities & PoCs, Domains, IPs & URLs, Threat Reports & IOCs, Nearly 9,000 Sources.
Mallory's agents classify, extract, relate, normalize, and attribute every record from nearly 9,000 sources before it reaches the Intelligence and Exposure Graph.
The output is centralized intelligence feeds: Breach Intelligence, Malware Intelligence, Vulnerability Intelligence, Observables, Threat Actors.
What happens next
Correlate: every piece of intel is checked against your real environment.
Prioritize and route: the Mallory Agent sends it to the team that needs to act.
Feed it back: what you resolve makes the next answer smarter.
Deliver: Findings land in Slack, Jira, your SIEM, or your agents over MCP.
How is Mallory different from a threat intelligence platform?
Other tools stop at collecting. Mallory organizes, prioritizes and routes intelligence to the team that needs to act.
Built for the people who run the program
For the CTI analyst
Start your day with what's relevant to your environment, not everything published overnight.
“Are we exposed to this actor's tactics?” goes from a research project across five tools to a single question in Mallory.
For the SecOps manager
Tell the SOC what an indicator is and why it fired. Intelligence is filtered to your environment first, so you stop paying to enrich and ingest indicators that don't apply.
Intelligence Mallory generates itself
Sandbox execution, open internet scanning, DNS data, and hunting feeds let Mallory verify an indicator and see activity no one has published yet. The same Intelligence and Exposure Graph ranks your exposures.
See the real-time intelFrequently asked questions
AI threat intelligence uses agents to collect, correlate, and reason over threat data, so analysts get answers instead of raw indicators. In Mallory, agents correlate nearly 9,000 sources and Mallory's own sandbox, scanning, and DNS intelligence with your environment, and explain why each indicator matters.
A threat intelligence platform collects intelligence from many sources into one place so analysts can review it. Mallory goes further: it normalizes that intelligence into one graph, correlates it against your environment, and routes what matters to the team that needs to act.
A feed is one source. Mallory pulls nearly 9,000 sources plus the feeds you already pay for into one Intelligence and Exposure Graph, so the same actor, CVE, or indicator is one entity no matter where it came from.
Vendor feeds, OSINT, dark web monitoring, ISAC/ISAO shares, social monitoring, external attack surface data, breaches, and advisory directories, alongside your team's custom or internal intelligence and Mallory's own sandbox, scanning, DNS, and hunting feeds. Details are in the docs.
No. Bring the sources you already pay for and the ones you built yourself. Mallory normalizes and correlates them instead of replacing them.
The same Intelligence and Exposure Graph feeds vulnerability prioritization, so you know whether a CVE is being actively exploited by an actor targeting your industry.
Neither, exactly. Mallory isn't a log store like a SIEM, and it doesn't stop at storing intelligence like a TIP. It turns intelligence into prioritized, routed work for the rest of your program.
Put every feed you pay for to work on risk reduction
Bring your commercial and custom feeds. Mallory filters them to what applies to you.