All news with #siem tag

🛡️ SOC teams can close persistent detection gaps by adopting a continuous detection workflow that links early threat feeds, interactive sandboxing, and live threat lookups. ANY.RUN survey data shows unified stages deliver faster investigations, clearer triage, and reduced MTTR. Early filtering reduces Tier‑1 noise, sandboxes expose evasive payloads in realtime, and threat lookup provides historical context so analysts can validate and act with confidence.

🔒 Databricks has introduced Data Intelligence for Cybersecurity, an AI-driven platform that unifies fragmented security telemetry on its Lakehouse architecture to provide real-time, context-rich threat detection. The offering includes Agent Bricks to build governed AI agents, conversational dashboards, and natural-language queries for nontechnical stakeholders. Early adopters such as Arctic Wolf, Palo Alto Networks, and SAP report sharper detection, lower costs, and faster operations, while Databricks expands integrations across a broad partner ecosystem to challenge established SIEM and analytics vendors.

🔍 The Hacker News piece argues that traditional, rule‑driven SOCs produce overwhelming alert noise that prevents timely, accurate incident response. It advocates flipping the model to treat incoming signals as parts of a larger story—normalizing, correlating, and enriching logs across identity, endpoints, cloud workloads, and SIEMs so analysts receive coherent investigations rather than isolated alerts. The contributed article presents Conifers and its CognitiveSOC™ platform as an example of agentic AI that automates multi‑tier investigations, reduces false positives, and shortens MTTR while keeping human judgment central.

🛡️ Agentic AI is moving from lab experiments into real-world SOC deployments, where autonomous agents triage alerts, correlate signals across tools, enrich context, and in some cases enact first-line containment. Early adopters report fewer mundane tasks for analysts, faster initial response, and reduced alert fatigue, while noting limits around noisy data, false positives, and opaque reasoning. Most teams begin with bolt-on integrations into existing SIEM/SOAR pipelines to minimize disruption, treating standalone orchestration as a second-phase maturity step.

🔍 At .Conf in Boston, Splunk and parent company Cisco positioned machine data as central to next‑generation AI incident response, arguing telemetry represents roughly 55% of global data growth. They stressed tighter integration of security and observability, a federated data model with new support for Snowflake, and standards work such as OpenTelemetry and the Open Cybersecurity Framework (OCSF). Splunk also previewed enhanced security operations capabilities — a premier Enterprise Security bundle, Detection Studio, and agentic AI features — while acknowledging customer concerns about costs, legacy positioning, and support.

🔐 Avnet moved away from vendor-bound SIEM, EDR and RBVM silos toward a centralized security data pipeline built on Cribl, prompted by a legacy SIEM renewal that became a strategy inflection point. The redesign gave Avnet full ownership of telemetry, enabled large-scale ETL and flexible routing, and freed analysts from vendor dashboards. Operationally, licensing and storage costs dropped dramatically to 15% of prior levels while processing capacity doubled and pipeline staffing fell from four engineers to one. With its own data layer in place, Avnet is accelerating analytics and AI use cases such as tailored LLMs and retrieval-augmented generation (RAG) to improve investigations and reduce analyst workload.

🔍 The Picus Blue Report 2025, derived from over 160 million real-world attack simulations, found that organizations detected only 1 in 7 simulated attacks, exposing significant detection and response gaps. The report attributes most failures to missing or misrouted telemetry, misconfigured detection rules, and performance bottlenecks that delay or drop alerts. It recommends continuous validation—for example, using Breach and Attack Simulation—to routinely test rules, verify end-to-end log collection, and prioritize fixes so defenses remain effective against current adversary TTPs. Practical steps include regular log-source audits, optimizing rule logic and thresholds, deploying lightweight test filters, and running ongoing simulation-based validations to reduce noise and recover blind spots.

🔒 Falcon Next-Gen SIEM provides real-time, cross-domain detection to help organizations detect and respond to the identity-centric eCrime group SCATTERED SPIDER. The platform correlates identity, cloud, SaaS, network and email telemetry, offering out-of-the-box rule templates for phishing, MFA fatigue, suspicious SSO events and exfiltration. CrowdStrike recommends comprehensive log ingestion and tuning of these templates to improve detection and response across the full attack lifecycle.