F-Secure Rapid Detection & Response

Endpoint Detection & Response (EDR) has grown in popularity as organizations look for ways to verify whether existing defenses failed, confirm compromise, and detect data exfiltration. Breach data highlights that targeted attacks and corporate espionage account for meaningful portions of incidents, while malware and account takeovers remain common drivers. A key EDR objective is reducing Mean Time To Respond (MTTR), especially given reports that attackers can remain undetected for months.

EDR focuses on collecting and analyzing Indicators of Compromise (IOCs) such as file hashes, known-bad IPs/URLs, process anomalies, unusual port usage, injections, module load modifications, and registry changes. Typical capabilities include endpoint agents, centralized logging, remote endpoint examination, alerting, incident response support, event correlation, querying, memory analysis, and recording/playback. Machine Learning (ML) and Deep Learning (DL) are positioned as aids for baselining and reducing false positives, but the text emphasizes that skilled analysts and mature security operations (SOCs), aligned with at least Level 1–2 of the Hunting Maturity Model, are still required. EDR is framed as complementary to EPP and other tools (gateways, NTDR, deception), not a replacement.

F-Secure Rapid Detection & Response is presented as a cloud-managed EDR with endpoint agents for multiple Windows versions and macOS, licensed per node with subscription options; Linux support is stated as a roadmap item. Agents send sensor data to F-Secure’s cloud for analysis and one-year default retention. Its Broad Context Detection uses ML plus rules to surface a smaller set of meaningful incidents, provides severity/confidence, maps detections to MITRE ATT&CK, supports whitelisting and threshold tuning (but not YARA), and factors asset criticality into response policies. Advanced hunting capabilities (interactive/NLP querying, live memory analysis) are reserved for managed service customers, complemented by an “Elevate to F-Secure” expert assistance option. Noted gaps include no SAML federation, limited recording/playback, no MFT visibility, and roadmap items for attribution and root cause analysis.

• Targeted attacks account for 11% of cybersecurity breaches.
• Acts of corporate espionage account for 13% of breaches.
• Malware is involved in 48% of attacks.
• Account takeovers are involved in 14% of attacks.
• F-Secure was founded as Data Fellows in 1988.
• The first F-Secure Windows anti-virus was released in 1994.
• The company name changed to F-Secure in 1999.
• BlackLight, a rootkit detection and removal tool, was made available in 2005.
• Rapid Detection & Response stores analyzed cloud events for a year by default.
• Rapid Detection & Response does not support SAML-federated access for the management console.

• “A main goal of EDR is often reducing the Mean Time To Respond (MTTR)”
• “EDR is not a substitute for EPP, but rather a component of many modern security architectures”
• “The inclusion of ML technology does not obviate the need for trained security analysts.”
• “Broad Context Detection™ is the component which uses Machine Learning (ML) techniques and pre-configured rules to detect anomalous behavior”
• “Broad Context Detection™ flags indications of possible breaches by alerting admins of tactics, techniques and procedures (TTPs)”
• “Customers can also whitelist certain conditions that may occur so as to reduce false positives.”
• “Some detections require deeper threat analysis and guidance by specialized cyber security experts.”
• “Rapid Detection & Response does not perform automatic rollback to last known good state.”
• “F-Secure reports that most customers don’t want to utilize extensive automated response features”
• “Adding support for SAML federation for administrative users of the cloud-based enterprise console would be advantageous.”