All news with #detection engineering tag

🔍 Modern attackers use AI to imitate trusted users, tools, and services, making many incidents malware-free and harder to detect. The article compares these tactics to art forger Elmyr de Hory and outlines threats such as agentic AI, supply-chain impostors, cloaked tunnels, rogue infrastructure, and sophisticated phishing. Network Detection and Response (NDR), including Corelight’s Open NDR Platform, is highlighted as essential for spotting behavioral anomalies, protocol inconsistencies, and contextual metadata to expose impostors early.

🔍 Microsoft introduces CTI-REALM, an open-source benchmark that evaluates AI agents on end-to-end detection engineering by turning real-world cyber threat intelligence into validated detections. The benchmark places agents in realistic, tool-rich environments where they must read CTI reports, explore telemetry, iterate on KQL queries, and produce Sigma rules and KQL-based logic scored against ground truth across Linux, AKS, and Azure. CTI-REALM's checkpoint-based scoring surfaces whether failures arise from CTI comprehension, technique mapping, data-source selection, or query construction, helping teams decide where human oversight and guardrails are required.

🔍 Cisco Talos introduces DispatchLogger, an open-source DLL that transparently instruments late-bound COM (IDispatch) interactions to enhance malware analysis visibility. The tool hooks COM instantiation APIs and returns proxy objects that forward calls while logging method names, parameters, return values, and object relationships. It supports recursive wrapping, enumerator proxies, and moniker handling to reveal high-level automation events often missed by low-level API tracing. Deployment requires injecting the DLL into target processes and preserves COM lifetime and threading semantics.

🔐 Modern phishing increasingly hides behind legitimate infrastructure and encrypted HTTPS, making static checks insufficient. The piece recommends a three-part investigation model — safe interaction, automation, and in-sandbox SSL decryption — so SOCs can observe full attack flows, extract actionable IOCs, and reach evidence-based verdicts quickly. This approach reduces analyst load and helps detect identity-driven compromise earlier.

🔍 Cloudflare's Log Explorer centralizes 14 new datasets to give analysts correlated, edge-to-core telemetry for investigating multi-vector attacks. By combining HTTP requests, Firewall, Zero Trust access, IDS, DNS and gateway logs, teams can rapidly reconstruct reconnaissance, exploitation, and exfiltration chains. The platform reduces detection time and supports schema-driven ingestion for future data sources. It also improves ingestion latency and enables concurrent queries for faster, correlated forensics.

🔍 Cloudflare’s redesigned Security Overview dashboard helps security teams turn overwhelming telemetry into prioritized, actionable remediation. The interface introduces Security Action Items — ranked by Critical, Moderate, and Low — alongside a Detection Tools module that indicates whether protections are actively enforcing or left in "Log Only" mode. Suspicious Activity cards deep-link into Security Analytics to preserve filters and speed triage.

🔒 Google has been named a Leader in the IDC MarketScape: U.S. State and Local Government Professional Security Services 2025–2026 assessment. The recognition highlights Mandiant integration with Gemini AI and Google’s secure, AI-optimized infrastructure to accelerate detection rule generation, attacker script analysis, and incident investigations. The report also notes Mandiant’s full incident lifecycle support—including crisis communications, legal coordination, and board-level reporting—delivered across engagements with Fairfax County, the State of Nevada, and the University of Hawaii.

🔍 A commissioned Forrester Consulting study for NETSCOUT (October 2025) reports that 61% of respondents say analysts spend more than ten hours a week in the analyze phase. The piece argues this is not a time-management issue but a clarity problem caused by partial context, dispersed data, and incomplete logs that force manual correlation. It highlights how stronger Network Analysis and Visibility (NAV) can shrink investigations and reduce burnout, and positions Omnis Cyber Intelligence as a platform delivering packet-level truth, correlated metadata, hybrid visibility, and simplified, three-click investigations.

🛡️ Tier 1 analysts handle the bulk of alerts but frequently lack the context and tooling needed to decide quickly and accurately. The piece advises CISOs to invest in three coordinated capabilities: live threat intelligence feeds to improve detection, automated enrichment and sandbox analysis to turn flags into findings, and comprehensive integration of intelligence into SIEM, EDR, and network controls. These steps reduce MTTD/MTTR, lower false positives, and shift Tier 1 work from manual research to high-value investigation.

🔍 Cloudflare describes how dispersed, low‑severity signals can combine into a full security incident termed “toxic combinations.” Using network-wide telemetry, Cloudflare correlates bot indicators, sensitive paths, anomalies, and misconfigurations to detect multi-step reconnaissance and exploitation before a clear exploit appears. The post outlines concrete detection queries and practical mitigations — from WAF rules and Zero Trust controls to API authentication and debug flag hygiene.

🛡️ Triage often increases organizational risk when investigators make decisions without execution evidence, when outcomes vary by analyst seniority, or when manual steps and escalations slow response. The article outlines five specific failures—lack of early evidence, seniority-dependent quality, slow time-to-decision, over-escalation, and repetitive manual work—and recommends execution-driven fixes such as using ANY.RUN interactive sandboxing to produce fast, observable behavior that enables evidence-backed verdicts, reduces rework, and shortens MTTR.

🔒 This article profiles major ransomware varieties — including crypto, double extortion, encryptionless, locker, scareware and Ransomware-as-a-Service — and explains how they operate. It outlines common detection approaches such as behavioral, signature, heuristic, and deception techniques. The piece also situates ransomware within the broader malware landscape and describes how Huntress’ 24/7 human-led monitoring and containment reduce risk.

🔍 AWS announced a new AWS WAF AI activity dashboard that centralizes visibility into AI-driven bot and agent traffic reaching applications. The update expands AWS WAF Bot Control detection to track more than 650 unique bots and agents and provides trend visualizations, most-active bot listings, path analysis, and request volumes by category and verification status. Administrators can act directly using Bot Control rules to allow verified crawlers while rate-limiting or blocking unverified agents. The dashboard is available in all AWS Regions and is included on flat-rate plans or provided at no extra cost for other WAF customers.

🔍 Threat intelligence isn't the problem—it's the type and context. Security teams need both internal intelligence (signals and telemetry from inside their environment) and external intelligence (attacker activity, campaigns, and indicators) because each alone gives an incomplete picture. Many organizations ingest multiple generic, fragmented, and delayed feeds that confuse rather than clarify risk, causing critical decisions to be based on underrefined data. Integrating and enriching feeds with internal telemetry turns raw alerts into prioritized, actionable insights.

🔍 Cloud migrations have introduced dynamic infrastructure, container sprawl, and multi‑cloud complexity that often create blind spots and make cloud-native logs inconsistent. Network-layer telemetry and Network Detection and Response (NDR) offer a consistent, provider-agnostic signal that analysts already know how to read. Combining mirrored traffic, flow logs, TLS metadata, DNS, and container context helps detect exfiltration, C2, cryptomining, and suspicious admin activity. Operationalizing these signals—baseline tuning, egress monitoring, and continuous validation—improves cloud defense.

🔎 Analysts often stop at sandboxing and blocklisting, but that approach fails against targeted, multi-stage intrusions. Attribution — linking artifacts to known groups — enables defenders to find related tools, tactics and IOCs and to prioritize remediation. Using the Kaspersky Threat Intelligence Portal, the article shows how TTP correlation, YARA rules and SIEM signatures can accelerate containment and reduce false positives.

🔍 Microsoft Defender Security Research Team describes an AI-assisted workflow that converts unstructured threat reports into actionable detection insights. The system uses LLMs with Retrieval Augmented Generation to extract candidate TTPs, metadata, and required telemetry, then normalizes behaviors to MITRE ATT&CK. Extracted TTPs are compared to a standardized detection catalog via vector similarity search and LLM validation to surface likely coverage and gap recommendations. Human-in-the-loop review, deterministic prompts, and evaluation loops are emphasized to ensure accuracy before operational changes.

🔒 NETSCOUT was named a leader in Quadrant Knowledge Solutions' 2025 SPARK Matrix for Network Detection and Response, emphasizing its packet-level approach to security. Its Omnis Cyber Intelligence platform and proprietary Adaptive Service Intelligence (ASI) apply patented deep packet inspection at scale to produce enriched Layer 2–7 metadata. Continuous packet capture enables retrospective forensics independent of detection, and the vendor promotes a "Visibility Without Borders" model to cover physical, virtual, and cloud environments.

☁️ The 2026 State of Cloud Security Report, based on a survey of 1,163 senior cybersecurity leaders, identifies a growing "complexity gap" between cloud growth and defensive capability. It cites three drivers: fragmented defenses, understaffed teams, and threats operating at machine speed, and quantifies readiness shortfalls across detection, response, and visibility. Respondents favor consolidation — 64% would design security around a single-vendor platform to improve integration, accelerate response, and reduce operational friction.

🔍 In 2026 many SOCs still rely on legacy workflows—manual sample reviews, static reputation checks, fragmented tooling, and frequent, avoidable escalations—that slow investigations and drive alert fatigue. The article recommends shifting to automation-optimized, behavior-focused operations using interactive sandboxes to detonate threats, surface rich behavioral indicators, and integrate results into SIEM, SOAR, and EDR. These changes can shorten MTTR, accelerate detection, and reduce Tier 1→Tier 2 escalations while enabling analysts to focus on high-priority response.