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.
AI FOR SECURITY
Put governed AI to work across security operations.
Governed AI for defined security work. Horus, the Agent Orchestrator, coordinates specialist support while analysts keep final authority.
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
Two AI security jobs, one evidence foundation.
AI for Security applies governed AI to defined security operations work. Security for AI governs consequential AI workflows across the wider estate. Both rely on evidence, explicit authority and human decisions.
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 SECURITY OPERATIONS JOBS
Horus orchestrates. Specialists do the work.
AI amplifies prepared operations. It does not repair weak data, unclear ownership or undefined workflows. Each job has an explicit input, output, measure and human decision.
Engineer security data · Weave
Weave supports complex source configuration and data-pipeline setup. Human decision: validate source, pipeline and scope. Measure: time to a healthy, queryable source.
Engineer detections · Forge
Forge drafts, tests and tunes detections for engineer review. Human decision: approve, change or reject deployment. Measure: useful detections shipped and tuning burden.
Investigate cases · Resolve
Resolve gathers and joins case evidence inside its granted scope. Human decision: close, escalate or ask for more work. Measure: median investigation time and escalation quality.
Hunt threats · Hunter
Hunter prepares queries and evidence for a defined hypothesis. Human decision: review the query and result. Measure: useful findings and analyst time returned.
Manage IT, OT, AI and cloud posture · Insight
Insight presents posture findings ranked by impact. Human decision: prioritise or defer the recommendation. Measure: high-impact findings resolved and accepted risk made explicit.
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
Configuration and pipeline work stays manual across source-specific tools.
SenseOn correlation
Weave supports the setup; a person validates source, pipeline and scope. Output: a healthy, queryable source.
Engineer security data
Configuration and pipeline work stays manual across source-specific tools.
Weave supports the setup; a person validates source, pipeline and scope. Output: a healthy, queryable source.
Category contribution
A generic assistant can draft content without owning test context or deployment review.
SenseOn correlation
Forge drafts, tests and tunes; an engineer approves, changes or rejects deployment.
Engineer detections
A generic assistant can draft content without owning test context or deployment review.
Forge drafts, tests and tunes; an engineer approves, changes or rejects deployment.
Category contribution
Triage automation scores alerts but leaves the analyst to reconstruct the case.
SenseOn correlation
Resolve gathers and joins evidence; an analyst decides whether to close, escalate or ask for more work.
Investigate cases
Triage automation scores alerts but leaves the analyst to reconstruct the case.
Resolve gathers and joins evidence; an analyst decides whether to close, escalate or ask for more work.
Category contribution
Query assistance can generate syntax without tying the result to a bounded hypothesis and review.
SenseOn correlation
Hunter prepares the query and evidence; a threat hunter reviews the query and result.
Hunt threats
Query assistance can generate syntax without tying the result to a bounded hypothesis and review.
Hunter prepares the query and evidence; a threat hunter reviews the query and result.
Category contribution
Posture tools produce separate findings without one prioritisation decision across environments.
SenseOn correlation
Insight presents findings ranked by impact; the accountable owner prioritises or defers them.
Manage IT, OT, AI and cloud posture
Posture tools produce separate findings without one prioritisation decision across environments.
Insight presents findings ranked by impact; the accountable owner prioritises or defers them.
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.
Horus, Agent Orchestrator
Coordinates bounded specialist work across the case while people retain the required review, approval or case decision.
Specialist agents
Weave, Forge, Resolve, Hunter and Insight each support a defined job, output, measure and human boundary.
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 task, evidence item, agent contribution and human decision recorded in Decision Trace
HOW A GOVERNED AGENT WORKS A CASE
Four steps from signal to a human decision.
Resolve works one current case through correlation, evidence gaps and investigation, then leaves an inspectable Decision Trace for the analyst.
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 the task, evidence, agent contribution and human decision in Decision Trace.
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
Every AI action inside Manage Case leaves a Decision Trace: the task, the evidence and the human decision, recorded together. SenseOn the company is also BSI-certified ISO 27001, a World Economic Forum Technology Pioneer, independently tested by SE Labs and AV-Comparatives, and rated 4.9/5 on Gartner Peer Insights. Those prove the company is well-run, not that any single AI action was governed.
Proof the AI's actions are governed
Decision Trace inside Manage Case
Records the task, evidence, agent contribution and human decision
A structural guarantee, not a sampling rate. Chain-of-custody for NIS2, DORA, EU AI Act, and ISO 27001.
Proof of the company behind it
Company-level certifications. They show SenseOn is well-run. They do not, on their own, prove any single AI action was governed.
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.”
QUESTIONS AND NEXT READING
Direct answers, then the evidence behind them.
The first three cards are the visible answers emitted in FAQ schema. The remaining cards lead to deeper evidence.
NEXT STEP
Choose one security job. See the evidence and human boundary.
Bring one job, its input and the decision a person must retain. See the output, evidence and operational measure in one governed workflow.