Know. Respond. Protect.
Prioritize the exposures real threat actors are targeting right now.
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.
Mallory is the brain. Your stack is the instrument cluster.
Your security tools each do their job, and none of them reads the whole picture against what adversaries are doing right now. Mallory sits upstream as the reasoning and intelligence layer. It correlates live adversary activity with your exposure and turns it into prioritized, adversary-anchored decisions.
CTEM, SOAR, ticketing, AI SOC, and agentic vulnerability management are the instrument cluster. Mallory feeds them and makes the rest of your stack smarter. It plugs into what you already run.
Mallory reasons
Your stack acts
Knowing whether you're affected still takes hours. The clock no longer waits.
The data exists. What's missing is the upstream reasoning layer that reads it against what adversaries are doing right now.
The disclosure clock got shorter
SEC four-day window. Board meeting on Tuesday. A press cycle that won't wait. “We don't know yet” is no longer a survivable answer.
Visibility is solved. The verdict is not.
APIs connected, feeds flowing. But live adversary activity still isn't read against your attack surface, so answering whether a new threat affects you, and where, still takes a senior analyst hours.
The asymmetry shifted
The SOC was built to react. Adversaries now move at machine speed, and reactive operations can't keep up. The teams that survive this era run proactively: intel-led, continuous, and scoped to their actual environment.
Three capabilities. One engine.
Each pillar answers the same three questions: what it means to have it, why Mallory built it, and how it is different from everyone else's.
Intelligence graph
Breadth is easy to claim. Mallory pairs it with provenance: thousands of sources resolved into one graph where every claim cites its evidence, so a verdict is something you can verify, not something you have to trust.
Mallory processes open, commercial, and underground sources continuously into a structured graph of actors, campaigns, vulnerabilities, and observables. Machine-speed adversaries broke the manual triage model. Reading the whole landscape at once, with the relationships already assembled, is how a defender keeps pace.
The evidence
Shipping today- Thousands of sources processed continuously, deduplicated and entity-resolved into one graph
- Every incoming threat arrives with related actors, affected versions, campaigns, and observables already connected
- A personalized feed scoped to your tech stack, industry, and the entities you track
The Monday morning question
7:02 a.m. The CEO forwards a WSJ article about a compromise affecting a widely deployed library. The disclosure clock has started.
Before
A senior analyst opens four dashboards, queries two APIs, and cross-references the asset inventory. Three hours later the answer lands, partially stale.
With Mallory
The Mallory story is already open. Affected versions, active campaigns, the threat actors using it, the observables tied to exploitation, and the question to ask the environment are all pre-assembled. The analyst verifies in five minutes.
Environment context
Answers are about your environment, not generic intel. Mallory connects to the tools you already own instead of shipping another scanner, so your visibility investment finally pays compound interest.
Mallory reads each threat against what you actually run. The last decade solved visibility: the APIs are connected and the feeds are flowing. The verdict is what stayed manual, and the verdict is what the board asks for.
The evidence
Live where supported, expanding- Connects to your existing ticketing, detection, and asset inventory tools, live where supported and expanding
- Workspaces scope every answer to your tracked entities and tech stack
- Nothing new to deploy and no separate inventory to maintain
One thread, from question to fix
A ransomware campaign targeting your industry is disclosed Friday afternoon.
Before
Read the report. Search for TTPs in the SIEM. Look up IOCs in VirusTotal. Check whether the EDR has signatures. Open tickets by hand. Six tools, four hours, a partial picture.
With Mallory
Ask “are we exposed to this campaign, and what do we fix first?” Mallory returns the actor profile, the matching assets, the detection gaps, and a prioritized queue, then drafts the tickets and detections for review. The team confirms and the work ships under its own policy.
Agentic Prioritization, Routing, and Remediation
The queue is ordered by what adversaries are doing today, not a CVSS score frozen the day a CVE published. That ranking ships now. Routing is live where supported and expanding, and we say so plainly.
Agents rank exposures by live adversary behavior and route the work into tickets, detections, and remediation under your policy guardrails. A human can see, question, and override any step. Scheduled routines extend the same engine ahead of the threat, checking repos, supply chain, and CI/CD for exposure.
The evidence
Prioritization shipping, routing expanding- An adversary-weighted queue, shipping today, so the top of the list is what a real threat actor is walking toward
- Routing into ticketing and detections under your policy guardrails, live where supported and expanding
- Scheduled agent checks across repos, supply chain, and CI/CD, with exposure pre-computed on ingest on the roadmap
The headline that never arrives
A library compromise dominates the security news cycle on Saturday afternoon. Dark web advisories and research blogs land simultaneously.
Before
The SOC manager spends the weekend assembling exposure reports. The CEO forwards the article Monday at 7:02 a.m. The team reruns Friday's research from scratch.
With Mallory
Mallory ingests the advisory within minutes. By Saturday evening the Slack notification reads: “Cl0p-style attack on libfoo dropped. You have 0 instances. No action needed.” The Monday morning question never gets asked.
Start from deep threat understanding.
Mallory asks one question first: which exposure is a real threat actor walking toward right now? A CVSS number ranks a vulnerability the day it's published and never moves again.
Mallory ranks your exposures by what adversaries are actually doing today, so the queue reflects real risk instead of theoretical severity, and your team always knows what to work next.
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.
Start free. Grow into it.
Three tiers, from a single builder to a full enterprise rollout.
Community
FreeFor solo analysts, researchers, consultants, and builders. Plug Mallory's data and intelligence into your own harness and start querying on day one.
Team
Per seatAgent credits per seat, adversary-weighted queues, shared threads, and the integrations a working security team needs to move from signal to action.
Enterprise
Full platformBroad source coverage, full data and API access, policy guardrails, and the integrations that route prioritized work across your whole stack.