Tier-1 alert handling, identity response, threat enrichment and cloud-security workflows across a fast-scaling stack.
Cloud-native companies generate security signal from identity, cloud infrastructure and endpoints faster than a team can grow to review it. Tier-1 handling becomes the bottleneck for everything else, and the volume of routine identity and cloud alerts leaves little room for proactive work such as threat hunting.
Growth typically also means an expanding set of SaaS, IaaS and PaaS providers, each generating its own findings and alerts, which makes it harder to maintain a single, consistent view of posture and response across the environment without dedicated engineering effort per integration.
Incoming alerts are enriched with generative-AI-assisted context and prioritised automatically, so engineers see a filtered, contextualised set of alerts rather than a raw feed, freeing capacity for genuine investigation and threat hunting.
Suspicious sign-ins and account activity trigger automated enrichment across identity and endpoint context, with a user-confirmation step and a prepared containment action such as session revocation held for analyst approval.
Misconfiguration and posture findings from AWS, Microsoft Azure, Google Cloud and Kubernetes environments are enriched and routed through remediation workflows, rather than each cloud provider's findings being handled separately by different teams.
Common access and account requests, such as just-in-time access or account onboarding, are handled through self-service chatbot workflows integrated with tools like Slack or Microsoft Teams, reducing dependency on manual helpdesk tickets.
Session tokens are revoked and account access suspended automatically once a compromise is confirmed, with password resets and user notification following as part of the same workflow rather than a separate manual process.
Compliance policies and misconfigurations are assessed continuously across cloud providers from a single console.
Users request time-bound access to applications and systems as needed, reducing standing privilege.
Alerts are enriched with context from multiple threat-intelligence feeds to reduce false positives.
Common helpdesk and security requests are resolved through chat interfaces with optional human authorisation.
Engineers and security analysts build workflows at the level of complexity that suits the task at hand.
An identity provider flags a sign-in from a location inconsistent with the user's recent activity. Torq enriches the event with endpoint and device context, checks whether the user has an active VPN or travel record that would explain it, and sends the user a prompt to confirm whether the activity was theirs. If the user does not recognise it, a session-revocation and password-reset action is prepared and presented to an analyst for approval rather than executed automatically. If the user confirms the activity was legitimate, the case closes with the explanation recorded. Either way, the enrichment, the user's response and the outcome are retained in the case for later review.
CyberLane works with technology and SaaS security teams to identify which alert categories are ready for automation and where identity and cloud workflows need tighter approval gates given the sensitivity of the environment. We help design multi-cloud automation that stays consistent as the provider footprint grows, define the boundary between self-service and analyst-approved actions, and structure a proof of concept around identity or cloud-posture response before broader rollout. Vendor-specific implementation is coordinated with Torq or a qualified partner.
CyberLane is independent and works on the decision rather than the deployment. Product-specific delivery is coordinated with the vendor or a qualified implementation partner.
Capability descriptions are based on the vendor's published materials; CyberLane's wording is independently written.
We start with an independent conversation about where your exposure actually sits, before any technology decision is made.