From attack to AI verdict, in one flow
A live simulated attack on a monitored host. FortiSIEM correlates the logs, the incident lands in Coality Layer:2, and the AI investigates across EDR, firewall, identity and threat intel until it reaches a verdict with a confidence score.
Host under attack
Endpoint or server is compromised; its logs stream to FortiSIEM
FortiSIEM correlates
Correlation rule fires and raises an incident with related events
Alert lands in Coality
Layer:2 ingests the incident and its correlated data as a case
AI investigation
Queries EDR, firewall, identity and threat intel for evidence
Verdict + confidence
Verdict, confidence score and a bounded response for the analyst
Correlated data handed over
Evidence Coality gathers live
AI verdict
● Pending engineer approval
Dashboards built around your tenant
Devices onboarded for NOC monitoring flow through PRTG into Coality Omniscient. PRTG data is joined with tickets, SLAs and tenant context, so each customer gets views built for the way it runs: its sites, its critical links, its SLAs.
Branch SLA
POS links
Top talkers · WAN
Site health · 48 branches
NOC alerts → tickets (in Layer:2)
The same sensor list for every customer. No sites, no SLAs, no tickets.
On the stand: a Coality page with PRTG-sourced panels, and the matching NOC alerts inside Layer:2. Branch names in the top-talkers panel are illustrative.
See the estate, drill into any entity
Coality StateKeeper turns device state into visuals and data that shorten troubleshooting: live topology, security posture, configuration drift and alerts in one view. AlgoSec adds routing tables, policy and traffic-path analysis for each entity.
Topology & posture
Entity detail · EDGE-SW-02 via AlgoSec
| DESTINATION | NEXT HOP | INTERFACE | METRIC | POLICY |
|---|---|---|---|---|
| 10.20.0.0/16 | 10.1.1.1 | Gi0/0/1 | 10 | Allow |
| 172.16.8.0/22 | 10.1.1.2 | Gi0/0/2 | 20 | Allow |
| 0.0.0.0/0 | 203.0.113.1 | Gi0/0/3 | 1 | Review |
| 192.168.50.0/24drift detected | 10.1.1.1 | Vlan50 | 5 | Deny |
The Vlan50 route has drifted from the expected operating state, so StateKeeper flags it for an engineer to assess and resolve.
On the stand: a StateKeeper page showing topology, security posture and alerts, with AlgoSec routing detail on a selected entity. Node names other than EDGE-SW-02 and CORE-SW-02 are illustrative.
AI-built rules, tuned to your tenant
Detection engineering that starts from your context. Rulesmith takes a natural-language intent and drafts, tests and explains correlation logic against the tenant's own data model, so rules are meaningful, unique to you and faster to ship.
Tenant context (inputs)
Analyst intent (example)
Every rule lands in a versioned, MITRE-mapped rule library with hit rates and tuning history, then deploys to the tenant's SIEM.
Akamai signals, governed in Coality
Alerts raised by Akamai's AI-security products are enriched in Layer:2, so each one arrives as a single Coality alert with asset, identity and intel context, an AI verdict and a governance trail.
API Security
Abuse, shadow APIs and data exposure on AI-facing endpoints
Firewall for AI
Prompt injection, jailbreak and sensitive-data leakage on LLM traffic
Guardicore Segmentation
Lateral movement between AI workloads and the rest of the estate
Live alert feed (sample)
Verdict & response
Governance trail
On the stand: Layer:2 walking through live alerts from API Security, Firewall for AI and Guardicore as Coality enriches and triages them. Feed entries above are illustrative samples.
AI recommends. People decide.
In every demo, Coality issues verdicts, drafts investigation timelines and recommends bounded responses inside a human-reviewable case. Findings are grounded in live queries against your EDR, SIEM, firewall, PRTG and identity sources. Operators have the final say.
Analyse & recommend
AI correlates evidence and proposes a verdict and bounded response.
Validate findings
An engineer reviews the case, evidence and proposed action.
Execute & monitor
Approved actions run. Outcomes are tracked and fed back.
Ten AI modules. Five demos.
Detect & Response
Detection rule engineering
Custom parser generator
SIEM · evidence
Threat hunting & intel
ITSM
Observability & dashboards
Posture & config drift
SOAR
Customer support
What Coality delivers today
Faster incident resolution
MTTR reduction across enterprise AIOps deployments.
Less alert noise
Correlated, deduplicated events. Fewer false alarms and less fatigue.
Lower operating cost
Fewer man-days per ticket. Automation handles repeatable work.
Higher availability
Predictive detection prevents outages before they impact users.
Managed detection & response
Managed detection & response
Terrabit SNOC engineers in the loop
Alert-noise and cost-reduction figures reflect independent AIOps benchmarks. MDR figures (<15 min, <5 min, 24/7) are illustrative targets from coality.io, not service commitments. Each client runs in a tenant-scoped boundary, and every verdict and action carries a reviewable trail.
Representative products and LLMs
Same people.
Greater possibilities.
See Coality in action at GovWare. Each demo takes under five minutes.