All news with #crowdstrike tag

🔒 Google Cloud and its partners announced a range of partner-built AI security solutions now available in the Google Cloud Marketplace. These integrations embed Gemini and Vertex AI into partner products — including CrowdStrike, Palo Alto Networks, Fortinet, and others — to protect models, data, applications, and agents. The collaborations emphasize automated detection, incident response, DLP, identity protection, and agent monitoring to reduce mean time to detect and respond, helping customers adopt AI securely.

🔒 CrowdStrike has been named a Leader in The Forrester Wave™: Managed Detection and Response (MDR) Services in Europe, Q3 2025, receiving the highest possible scores in 16 evaluation criteria spanning detection surfaces, managed response, threat hunting and analyst experience. Falcon Complete Next-Gen MDR combines AI-accelerated detection and investigation with expert-led response across endpoint, cloud, identity and third-party telemetry. The service uses CrowdStrike Charlotte AI to triage alerts and accelerate analysis, and emphasizes end-to-end remediation actions that remove persistence and contain intrusions without costly reimaging. CrowdStrike positions this recognition as validation of its platform-led, AI-plus-human approach to stopping breaches.

🔒 CrowdStrike explains how widespread AI adoption expands the enterprise attack surface, exposing models, data pipelines, APIs, and autonomous agents to new adversary techniques. The post argues that legacy controls and fragmented tooling are insufficient and advocates for real-time, full‑stack protections. The Falcon platform is presented as a unified solution offering telemetry, lifecycle protection, GenAI-aware data loss prevention, and agent governance to detect, prevent, and remediate AI-related threats.

🔒 CrowdStrike has acquired Spanish telemetry specialist Onum for $290 million, aiming to integrate its real-time pipeline and filtering technology into the Falcon Next‑Gen SIEM. The company says Onum’s pipeline will enable higher event throughput, reduce storage costs by about 50%, and cut ingest overhead while accelerating incident response. CrowdStrike frames the buy as a move toward an AI-native, agentic SOC.

🔹 CrowdStrike was named a Leader in the IDC MarketScape: Worldwide Incident Response Services 2025 assessment, recognized for its AI-native Falcon platform and a global 24/7 incident response model. The company combines over 100,000 hours of annual IR casework with frontline breach expertise to speed detection, investigation and containment. Its follow-the-sun delivery and AI-augmented tooling reduce time-to-recovery, while proactive offerings like CrowdStrike Pulse Services help customers build long-term resilience.

📡 CrowdStrike announced an agreement to acquire Onum, a leader in real-time telemetry pipeline management that will extend the CrowdStrike Falcon platform's data advantage. Onum transforms telemetry in motion by filtering, enriching and optimizing events as they stream, delivering high-fidelity intelligence to Falcon Next-Gen SIEM, customer AI agents and data lakes. CrowdStrike highlights gains in speed and cost efficiency, saying the integration will reduce storage overhead, accelerate incident response and enable an agentic SOC powered by real-time, AI-driven detection.

🔒 CrowdStrike disrupted a malvertising campaign that redirected users to counterfeit macOS help pages and urged them to run a malicious one-line installation command. Observed between June and August 2025, the operation sought to deliver the SHAMOS variant of the Atomic macOS Stealer (AMOS), a Mach-O binary distributed by MaaS operator Cookie Spider. The installer decoded a Base64 string, executed a Bash script that captured credentials and fetched the payload from icloudservers[.]com.

🔒 CrowdStrike has been named a Leader in the 2025 IDC MarketScape for Exposure Management. Falcon Exposure Management delivers AI-native, real-time visibility and prioritization of exposures and attack paths across endpoint, cloud, identity and OT/IoT, helping teams focus on what adversaries can feasibly exploit. It unifies VM, ASM and CAASM capabilities and introduces Network Vulnerability Assessment for continuous discovery of unmanaged network devices without additional agents or hardware. Integrated exposure data is correlated across CrowdStrike Threat Graph, Intel Graph and Asset Graph to support faster, automated remediation.

🔒 Since late 2024 CrowdStrike's Counter Adversary Operations has tracked MURKY PANDA, a China‑nexus actor targeting government, technology, academic, legal and professional services in North America. The group exploits internet‑facing appliances, rapidly weaponizes n‑day and zero‑day flaws, and deploys web shells (including Neo‑reGeorg) and the Golang RAT CloudedHope. CrowdStrike recommends auditing Entra ID service principals and activity, enabling Microsoft Graph logging, hunting for anomalous service principal sign‑ins, prioritizing patching of cloud and edge devices, and leveraging Falcon detection and SIEM capabilities.

🔒 Between June and August 2025, the CrowdStrike Falcon platform blocked a widespread malware campaign that attempted to compromise more than 300 customer environments. The campaign, operated by COOKIE SPIDER and renting the SHAMOS stealer (an AMOS variant), used malvertising and malicious one-line install commands to bypass Gatekeeper and drop a Mach-O executable. Falcon detections—machine learning, IOA behavior rules and threat prevention—prevented SHAMOS at download, execution and exfiltration stages. CrowdStrike published hunting queries, mitigation guidance and IOCs including domains, a spoofed GitHub repo and multiple script and Mach-O hashes.

🔒 CrowdStrike has been named the only Leader and Outperformer in the 2025 GigaOm Radar for SaaS Security Posture Management (SSPM). The recognition highlights the CrowdStrike Falcon platform's unified, AI-native approach—combining Falcon Shield, identity protection and cloud security—to detect and remediate misconfigurations, identity threats, and unauthorized SaaS access. Falcon Shield's extensive integrations, automated policy responses via Falcon Fusion SOAR, and GenAI-focused controls underpin its market-leading posture and support continuous visibility across human and non-human identities.

🔐 CrowdStrike explains how inadvertent 'leakage' — when dependent or correlated observations are included in training — can inflate machine learning performance and undermine threat detection. The article shows that blocked or grouped data splits and blocked cross-validation produce more realistic performance estimates than random splits. It also highlights trade-offs, such as reduced predictor-space coverage and potential underfitting, and recommends careful partitioning and continuous evaluation to improve cybersecurity ML outcomes.