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Mallory

The Mallory Platform

Intel-led threat and exposure management.

Mallory unifies live adversary activity with your attack surface, ranks what matters by what attackers are actually doing, and routes that prioritized work into the tools you already run.

One platform for all of your threat and exposure needs.

Threat Intelligence

Cut the manual correlation work out of your morning triage. Mallory attaches asset, actor, and exploit context to a finding automatically, correlating 7,500+ sources (vendor feeds, OSINT, dark web monitoring, ISAC/ISAO shares, and advisories) into one entity graph. What reaches your team is already scoped to your environment. No more piecing it together by hand.

Explore Threat Intelligence

Exposure Management

Fix what's actually exploitable first. Mallory prioritizes vulnerabilities by what adversaries relevant to your industry are targeting, whether the exploit path is reachable in your environment, and whether the exposure is confirmed present, not by CVSS alone. A finding that would sit mid-queue on severity moves to the top when all three are true.

Explore Exposure Management

Run both, and the CVEs that matter stop sitting in the queue.

Say a new CVE shows up with a CVSS score of 6.8, unremarkable on paper. A ransomware affiliate targeting your industry started exploiting it eighteen hours ago, and Mallory confirms the exploit path is reachable on an internet-facing asset in your environment. In a CVSS-only queue, that vulnerability sits behind hundreds of higher-scored ones and waits. In Mallory, it jumps to the top of the exposure management queue right away: threat intelligence, exposure, and reachability all read the same graph. No handoff, no second tool to check, and no analyst losing an afternoon connecting the two by hand.

It works in reverse, too. A threat intel report names an active actor and campaign. Scope it against your exposure, confirm which assets are affected and reachable, and the warning becomes a specific, assigned fix.

Point tools give each team half the picture. Mallory gives both teams the same one.

Exposures move up the queue because of what's happening right now: being targeted, reachable, and confirmed present, not because of a severity score set the day a CVE was published.

For the people doing the work

CISO / VP Security

Build an intelligent security organization, on your terms. One queue, ranked by what's targeted, reachable, and confirmed, replaces five disconnected dashboards.

CTI Analyst

Spend your mornings acting on what's relevant, not skimming a feed of everything published that day. Correlation becomes the exposure team's prioritization automatically.

Red Teamer

Walk into an engagement with the recon already done: adversary TTPs, reachable assets, and confirmed exposure, mapped before you start.

Threat Hunter

Hunt with a hypothesis, not a blank page. See which of your assets an adversary is already targeting and can actually reach.

SecOps Manager

Mallory closes the loop, not just the alert. The queue reflects live exploitation and reachability, so time-to-remediate drops.

How it works

Four steps. One engine.

Step 01 · Aggregate

Everything published, plus intelligence we generate ourselves

Mallory pulls in more than 7,500 sources of threat intelligence, OSINT, dark web, social monitoring, and external attack surface data, plus intelligence Mallory generates itself: sandbox execution, open internet scanning, a proprietary DNS corpus, and hunting feeds.

Collection runs continuously. Every incoming record is deduplicated and entity-resolved on ingest, so the same actor, CVE, or domain is one entity in the graph no matter which feed named it first.

The evidence

Shipping today
  • More than 7,500 sources of threat intelligence, OSINT, dark web, social monitoring, and external attack surface data, processed continuously
  • First-party collection Mallory owns: sandbox execution, open internet scanning, a proprietary DNS corpus, and hunting feeds
  • Every record deduplicated and entity-resolved on arrival, with related actors, campaigns, and observables already connected

When the source isn't in anyone's feed

A staging domain goes live on Tuesday. No vendor has written it up yet.

Before

The domain shows up in a passive DNS query, if an analyst thinks to run one. Nothing ties it to the actor already tracked in a different tool, so it sits as an unattributed string in a spreadsheet.

With Mallory

Mallory's own scanning and DNS corpus see the domain the day it resolves. The graph already holds the certificate, hosting pattern, and actor it matches, so it arrives attributed instead of raw.

Step 02 · Correlate

Findings arrive scoped to your environment

The Intelligence Graph reasons over that intelligence against your actual asset inventory, so a finding arrives already scoped to your environment instead of a generic advisory.

The graph holds actors, campaigns, vulnerabilities, products, and observables as connected entities, and your inventory is one more layer on it. Reading the two together is what turns “this CVE is being exploited” into “this CVE is being exploited on the four hosts you own.”

The evidence

Shipping today
  • Actors, campaigns, vulnerabilities, products, and observables resolved into one connected graph
  • Every finding matched against your asset inventory and tech stack before it reaches you
  • Workspaces scope answers to the entities, products, and assets your team actually tracks

One advisory, two outcomes

7:02 a.m. A widely deployed library is disclosed and the clock starts.

Before

A senior analyst opens four dashboards, queries two APIs, and cross-references the asset inventory by hand. Three hours later the answer lands, partially stale.

With Mallory

Affected versions, active campaigns, the actors exploiting them, and the assets you run them on are already assembled. The analyst verifies in five minutes.

Step 03 · Act

Correlated findings become prioritized cases and routed work

The Mallory Agent turns correlated findings into prioritized cases and routed tickets, on demand for CVE triage, red team recon, threat hunt packs, detection gap analysis, or vulnerability operations, without your team building the workflow first.

The queue is ordered by what adversaries are doing today, not by a severity score set the day a CVE was published. A human can see, question, and override any step, and the loop closes on verification that the exposure is gone rather than on a ticket being marked done.

The evidence

Prioritization shipping, routing expanding
  • CVE triage, red team recon, threat hunt packs, detection gap analysis, and vulnerability operations run on demand, with no workflow to build first
  • Cases ranked by live adversary behavior, so what a real threat actor is targeting sits at the top
  • Routing into tickets and detections under your policy guardrails, live where supported and expanding

The Friday afternoon disclosure

A ransomware campaign targeting your industry is disclosed at 4 p.m. Friday.

Before

Read the report. Search for TTPs in the SIEM. Look up IOCs. Check whether the EDR has signatures. Open tickets by hand. Six hours, a partial picture, and the weekend already gone.

With Mallory

Ask what you're exposed to and what to fix first. Mallory returns the actor profile, the matching assets, the detection gaps, and a prioritized queue, then drafts the tickets for review. The team confirms and the work ships under your own policy.

Step 04 · Stay on your stack

Runs on the AI you've already bought, into the tools you already trust

Everything runs on the AI you've already purchased or Mallory's own agentic harness, and routes into the tools you already trust: cloud, identity, vulnerability management, asset management, ticketing, chat, SIEM, and SOAR.

Your model contract, your ticketing system, your SIEM. Mallory reads what you already run and writes back into it, so the visibility investment you've made compounds instead of getting duplicated.

The evidence

Live where supported, expanding
  • Bring the model you already license, or run Mallory's agentic harness
  • Connects to cloud, identity, vulnerability management, asset management, ticketing, chat, SIEM, and SOAR
  • Nothing new to deploy and no separate inventory to maintain

The question procurement asks

Security wants the platform. The AI governance review wants to know whose model is processing what.

Before

A new tool means a new model vendor, a new data flow to review, and a new inventory to keep current alongside the one you already maintain.

With Mallory

The review points at contracts you've already signed. Mallory runs on your existing model provider and writes into the systems already in the diagram, so the answer is a mapping exercise instead of a new approval.

Trust

Can you trust the answer?

A verdict is only useful if you can stand behind it. Mallory backs every answer on four fronts.

Accuracy

The verdict is right, and we can show how often. Accuracy benchmarks are coming as we publish the data behind them.

Provenance

Every answer is evidence-based and cites its sources. You can trace a verdict back to the intelligence behind it.

Policy guardrails

Agents act within your own policy. Nothing fires outside the rules you set.

Human in the loop

Analysts and agents work the same thread. You can see, question, and override the agent's work.

Plans

Start free. Grow into it.

Three tiers, from a single builder to a full enterprise rollout.

Community

Free

Track the landscape on your own account. Search the full Threat Graph and work it with the Mallory Agent, plus a rate-limited API and MCP, on your own model key.

Team

Flat fee

Agents on your environment — investigations, monitors, and briefs grounded in your estate, shared workspaces, and the integrations a working security team needs.

Enterprise & MSSP

Full control

The platform inside your own boundary: self-host or BYO cloud, your own models, compliance and governance, and multi-tenant MSSP operation.

Frequently Asked Questions

Find out if you're affected today.

Start free and see what Mallory surfaces on day one: who's exposed, what to fix first, and what's coming next.

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