WithSecure Elements Platform

Builds detections from raw identity telemetry (authentication events, token use, directory changes) as a native XDR detection surface, catching identity-driven attack stages that endpoint-only visibility misses.

Assembles the full attack narrative around an alert (affected assets, related events, process tree, network connections, timeline) without analyst-initiated investigation steps, increasingly via AI agents embedded in triage and investigation workflows; differentiation includes the testing and validation harness around AI outputs.

Detects threats across cloud environments, spanning cloud service provider control planes and workload runtime, as a native XDR detection surface correlated with endpoint and identity signals.

Correlates security events across endpoint, network, identity, cloud, and email telemetry in a unified detection engine, detecting multi-stage attacks that span domains and would appear benign in any single-domain view.

Continuously inventories exposures across internet-facing assets, cloud, SaaS, and identity, including shadow IT, misconfigurations, and excessive permissions beyond CVE scanning.

Models how exposures chain across assets and identities to reach critical systems, mapping attack paths and blast radius to separate reachable crown-jewel risks from dead ends.

Creates and tracks remediation tasks across teams and ticketing systems, measuring exposure reduction over time rather than simply listing open findings.

Ranks exposures by combining exploitability signals with asset business criticality, so that a medium CVE on a critical customer-facing service ranks above a high CVE on an isolated dev instance.

Generates trend reports on exposure posture (new exposure, remediated exposure, outstanding exposure by severity), in business language suitable for security program reviews.

Maps the discovered exposure inventory against active threat actor targeting and in-the-wild exploitation data to surface vulnerabilities under active attack.

Confirms whether a discovered vulnerability is exploitable in the specific environment through automated exploitation testing or manual validation, distinguishing confirmed risk from theoretical risk.

Scans endpoints for missing OS and application patches, surfacing vulnerability exposure without requiring a separate vulnerability management scanner.

Detects and blocks malware using behavioral analysis and ML models rather than signature matching. Prevents execution of known and novel malware including script-based and fileless attacks.

Detects and blocks endpoint threats using behavioral analysis of endpoint, application and user activity.

Assesses endpoints for vulnerabilities and misconfigurations and supports built-in or integrated patch and virtual patching.

Executes endpoint response actions automatically upon confirmed detection (process termination, file quarantine, registry key removal, and ransomware rollback), without waiting for analyst approval. Scope of automated actions and rollback fidelity are the primary quality differentiators.

Delivers detection, behavioral analysis, and response across Windows, macOS, and Linux agents, with non-Windows coverage depth a common evaluation point.

Ingests events from non-endpoint sources (firewall, identity, email, cloud) into the EDR platform for cross-signal correlation, enabling XDR-style detection without a separate XDR product.

Captures and analyzes in-memory process state to detect fileless malware, injected shellcode, and credential material that leaves no disk artifacts. Requires kernel-level agent access.

Detects threats by modeling process behavior, memory access patterns, and inter-process relationships rather than matching file signatures. Catches novel malware and LOLBin-based attacks that have no signature.

Provides a query interface over telemetry (process tree, network connections, registry events, file events), for analyst-led investigation independent of alert workflows. Differentiation is query language expressiveness and historical data retention.

Executes isolation, process kill, or persistence removal actions automatically upon detection without waiting for analyst approval. Speed of automated response directly affects breakout time mitigation.

Continuously enumerates internet-exposed assets (domains, IPs, subdomains, certificates, cloud storage, APIs) using passive DNS, certificate transparency logs, and active probing, including assets outside the official inventory.

Identifies cloud resources, SaaS applications, and exposed services deployed by business units without IT or security team visibility or approval.