Step 1
Correlate
Join provider, identity, endpoint, network, cloud, code, and business-system evidence around the alert in question, so the case starts whole rather than as one tool's opinion.
AGENTIC OPERATIONS
Agentic Operations: governed agents for the enterprise SOC.
Copilots suggest. Playbooks script. SenseOn is the whole system: agents that investigate and act on your own evidence under identity, tool scopes, policy, approval and rollback, every step written to DecisionTrace. For security leaders running a 1000+ employee estate with a SIEM, an EDR, and AI already in production.
33.4B
Events analysed monthly in a Fortune 500 environment
36k
Alerts raised from those 33.4B events
173
Cases that needed human judgement in 30 days
~6/day
Human escalations per day in a Fortune 500 environment
Copilots suggest. Playbooks script. Agents act, and someone has to govern that. 36k alerts became 173 cases and six decisions a day. That compression is the value. Across all customer environments, 0.68% of 30M+ cases investigated were confirmed true positives (rolling 12 months).
Trusted by Fortune 1000, FTSE 100, public-sector, financial services, and healthcare teams.
WHY NOW
From approving AI to reconstructing it.
Boards approved AI faster than security teams could prove what it does, and the detection floor underneath it is thinner than most leaders assume. CardinalOps' 2025 State of SIEM Report found enterprise SIEMs carry detections for 22% of MITRE ATT&CK techniques, leaving 78% uncovered. Governed agents close that gap by investigating on evidence you already hold, and by writing down what they did.
Source: CardinalOps, 2025 State of SIEM Report : 13,000 detection rules and more than 2.5M logs.
TWO LINKED JOBS
What is Agentic Operations?
Agentic Operations is the practice of running agents, yours and your vendors', under identity, tool scopes, policy, approval and rollback, with every action reconstructable from one ledger. AI for Security and Security for AI are its two jobs, joined by the same evidence architecture. On this page: how governed agents work your own cases.
AI for Security
Use governed agents to compress investigation and response work, with identity, tool scopes, policy, approval, audit, and rollback under control. You are on this page.
FIVE ANALYST PRIORITIES
Five decisions agents can now compress.
Triage, correlation, containment and reporting used to be four jobs for four tools. In Agentic Operations they are one governed case. Each priority is a question a governed agent has to answer before it acts, and one you should be able to answer about the agent afterwards.
Which alerts can an agent close on its own?
Horus correlates every source into cases, closes what your policy allows, and escalates the rest. In one Fortune 500 environment 33.4B monthly events became 36k alerts, 173 cases needing human judgement, and roughly six escalations a day.
How is evidence correlated across sources?
The Data Fabric ingests identity, endpoint, network, cloud, SaaS, AI-provider, code, and business-system telemetry. The Intelligence Fabric joins entities, sequences, and prior context, so one action chain stays source-linked however many questions the investigation opens.
Can an agent investigate deeper without a human?
Yes, inside the tool scopes you grant. Resolve pulls the next piece of evidence itself and stops at the boundary you set. Every query, tool call, and decision is written to the append-only DecisionTrace Ledger as it happens.
What can an agent contain, and what waits for approval?
You define it. Isolation, revocation, blocking, and rollback each carry their own policy, approval gate, timeout, and escalation path. Anything outside the granted scope pauses for a named human, and any action taken can be reversed.
Can you show an auditor exactly what the agent did?
Every AI and analyst action writes to the append-only, immutable DecisionTrace Ledger: 100% coverage as a structural guarantee, not a sampling rate. That is chain-of-custody evidence for NIS2, DORA, the EU AI Act, and ISO 27001.
Point tools automate a step. SenseOn governs the whole case.
Category examples are named to place each row, and every row ends in the decision the category leaves open. SenseOn ingests and governs these tools rather than replacing them. Every one of these was built for a world where software recommended. None was built for a world where software acts.
Category contribution
The category contributes scripted, pre-approved response actions for known scenarios. Outside its view: novel incidents, judgement calls, and any evidence the playbook's inputs do not already carry.
SenseOn correlation
SenseOn agents investigate first and act under live policy and approval, not a fixed script. Decision enabled: is this incident inside or outside the playbook, and what should happen next?
SOAR playbooks (e.g. Splunk SOAR, Palo Alto XSOAR)
The category contributes scripted, pre-approved response actions for known scenarios. Outside its view: novel incidents, judgement calls, and any evidence the playbook's inputs do not already carry.
SenseOn agents investigate first and act under live policy and approval, not a fixed script. Decision enabled: is this incident inside or outside the playbook, and what should happen next?
Category contribution
The category contributes natural-language query and summarisation over connected data. Outside its view: autonomous investigation, tool execution under policy, and a reconstructable record of what was actually done.
SenseOn correlation
SenseOn agents execute the investigation themselves, tool call by tool call, and write every step to DecisionTrace. Decision enabled: what did the agent do, and can a human approve, correct, or roll it back?
Security copilots (e.g. Microsoft Security Copilot, CrowdStrike Charlotte AI)
The category contributes natural-language query and summarisation over connected data. Outside its view: autonomous investigation, tool execution under policy, and a reconstructable record of what was actually done.
SenseOn agents execute the investigation themselves, tool call by tool call, and write every step to DecisionTrace. Decision enabled: what did the agent do, and can a human approve, correct, or roll it back?
Category contribution
The category contributes rule-based or ML alert scoring and deduplication inside one source. Outside its view: cross-source correlation, investigation depth, and governed containment action.
SenseOn correlation
Horus orchestrates triage across every source and hands confirmed cases to Resolve to investigate. Decision enabled: which alerts are one incident, and which agent should work it?
Alert triage and correlation bots
The category contributes rule-based or ML alert scoring and deduplication inside one source. Outside its view: cross-source correlation, investigation depth, and governed containment action.
Horus orchestrates triage across every source and hands confirmed cases to Resolve to investigate. Decision enabled: which alerts are one incident, and which agent should work it?
Category contribution
The category contributes indicators and campaign context from external research. Outside its view: whether those indicators map to live activity in your specific estate.
SenseOn correlation
SenseOn correlates intel against your own identity, endpoint, network, cloud, and code evidence. Decision enabled: is this indicator live in your environment right now?
Threat intelligence feeds
The category contributes indicators and campaign context from external research. Outside its view: whether those indicators map to live activity in your specific estate.
SenseOn correlates intel against your own identity, endpoint, network, cloud, and code evidence. Decision enabled: is this indicator live in your environment right now?
Category contribution
The category contributes query and retention over ingested logs. Outside its view: investigation logic, correlation across sources, and the governed next step. CardinalOps found enterprise SIEMs detect 22% of ATT&CK techniques.
SenseOn correlation
SenseOn's agents query, correlate, and act on one evidence estate under a single policy and approval boundary. Decision enabled: what is the full action chain, and what should be contained?
SIEM search and retention
The category contributes query and retention over ingested logs. Outside its view: investigation logic, correlation across sources, and the governed next step. CardinalOps found enterprise SIEMs detect 22% of ATT&CK techniques.
SenseOn's agents query, correlate, and act on one evidence estate under a single policy and approval boundary. Decision enabled: what is the full action chain, and what should be contained?
THE SENSEON ARCHITECTURE
One system from evidence to governed action.
One system, not a bolt-on assistant. The Data Fabric feeds the Intelligence Fabric, the Agent Control Plane governs every agent that acts on them, and you choose how it is deployed.
Data Fabric
Ingests, shapes, and retains source-linked evidence from every part of the estate.
Intelligence Fabric
Joins entities, sequences, detections, and prior context into one investigable chain.
Agent Control Plane
Governs every agent that works a case, with Horus orchestrating and Resolve investigating, under identity, tool scopes, policy, approval, timeout, escalation, rollback. Every action writes to the append-only, immutable DecisionTrace Ledger: chain-of-custody for NIS2, DORA, EU AI Act, ISO 27001.
Deployment and commercial model
Runs in SenseOn cloud, customer-hosted container, on-premise, or via API, direct or through SenseOn's managed service. Outcome-based pipelines draw from one credit pool, priced per outcome, not per GB of raw ingest. Storage is priced on compressed data on disk.
CORE SOLUTION
One case, worked two ways.
Same alert, same estate, same evidence. The difference is whether a human has to carry every step, and whether anyone can reconstruct what happened afterwards.
Analyst-only case
- Alerts arrive per tool; correlation happens in an analyst's head
- Every extra source is another console, another query, another context switch
- Investigation depth is capped by whichever shift is on
- Containment waits for whoever is free to approve it
- The audit record is a ticket comment written after the fact
Governed agent case
- Horus correlates every source into one case before a human opens it
- Resolve pulls the next piece of evidence itself, inside its granted tool scopes
- Policy, approval gates, timeouts, and rollback bound every action taken
- Roughly six escalations a day reach a human in a Fortune 500 estate
- Every step written to the append-only DecisionTrace Ledger as it happens
HOW A GOVERNED AGENT WORKS A CASE
Four steps from signal to decision.
Every case follows the same governed workflow, and every decision flows from these four steps. The Evidence Pack is what your analysts, your auditors, and your board use to decide what to fund, govern, contain, or expand.
Step 2
Fill in any Gaps
Identify the sources missing from the chain and bring them into view, so the record is complete rather than a partial alert with a plausible story attached.
Step 3
Investigate
Work the case on source-linked evidence, following each question from first signal to root cause, inside the tool scopes and policy boundaries you granted.
Step 4
Evidence Pack
Produce an inspectable record of what the agent saw, decided, called, changed, and handed back to a human, drawn from the DecisionTrace Ledger.
THE FOUR-WEEK ASSESSMENT
Prove one governed workflow in four weeks.
One real detection-to-response workflow, your own telemetry, a pass or fail reconstruction test, and an executive readout. Bounded scope, inspectable outputs, no rip-and-replace.
Week 1: Source map
Inventory alert sources, playbooks, and analyst workflows, and map the evidence each already produces. Output: a source coverage map and the reconstruction gaps.
Week 2: Bounded workflow
Select one detection-to-response workflow and define the chain-of-custody questions. Output: workflow scope, pass or fail criteria, and a response boundary.
Week 3: Governed run
Run the selected workflow through a governed agent and correlate the resulting evidence chain. Output: an inspectable chain from alert to action.
Week 4: Executive readout
Present the time saved, the risks found, and the recommended governed scope. Output: a decision pack for funding and next steps.
GOVERNANCE PROOF
Governed action you can show an auditor
BSI-certified ISO 27001. World Economic Forum Technology Pioneer. Independently tested by SE Labs and AV-Comparatives. Rated 4.9/5 on Gartner Peer Insights.
100% DecisionTrace coverage
Every AI and analyst action writes to the append-only, immutable DecisionTrace Ledger
A structural guarantee, not a sampling rate. Chain-of-custody for NIS2, DORA, EU AI Act, and ISO 27001.
SE Labs AAA
Independent endpoint testing. AAA is the highest published rating band
AV-Comparatives A+
Independent endpoint benchmark. A+ is the top category
BSI ISO 27001
Current certification via BSI. Certificate at trust.senseon.io
Cyber Essentials Plus
Fully certified. UK government procurement gate passed
Last reviewed: August 2026. Every number on this page is published with its denominator, sample, and time window on proof points.
TESTIMONIAL
Fewer false leads, more judgement calls.
What changes when correlation and triage stop being an analyst's manual work.
“We managed to cut down from 40 cases a day down to about 40 a month… it massively reduces how much time we spend following false leads.”
GO DEEPER
Where to read next.
The evidence, the methodology, and the adjacent problems this page touches.
NEXT STEP
Bring one workflow. Leave with a governed agent plan.
We will map your alert sources and analyst workflows, show where a governed agent can compress the work, and scope a four-week assessment on your own telemetry.