All news with #threat hunting tag

📊 Cloudflare explains why measuring the Internet is uniquely difficult and how rigorous methodology, ethics, and clear representation make findings reliable. An internal February 2022 Lviv traffic spike illustrates how context and complementary data can prevent misclassification of benign events as attacks. The post contrasts active and passive techniques and direct versus indirect measurement, outlines a lifecycle of curation, modeling, and validation, and stresses low-impact, ethical approaches. It concludes by inviting collaboration and continued exploration of passive measurement methods.

🛡️ Mandiant Academy and Google Cloud introduce Protecting the Perimeter: Practical Network Enrichment, a short-form training track to sharpen network traffic analysis and CTI operationalization. The curriculum covers five core methodologies—PCAP, netflow, protocol analysis, behavioral baselining, and historical review—and demonstrates how to enrich each with CTI and analytical tradecraft. It is aimed at practitioners who need focused, time-efficient skills to improve detection and investigation.

🔍 Security Awareness Month highlights the human side of defense but by itself it cannot sustain long-term resilience. The author argues organizations must pair awareness with proactive threat hunting and a structured Continuous Threat Exposure Management (CTEM) program to find misconfigurations, exposed credentials, and excessive privileges before attackers can exploit them. He outlines a three-step readiness model: collect attacker-centric data, map attack paths with a digital twin, and prioritize remediation by business impact.

🔍 The NCSC, led by CTO Ollie Whitehouse, has urged UK organisations to strengthen observability and threat-hunting capabilities to improve national cyber resilience. It warns many lack comprehensive visibility across accounts, devices, networks, applications and cloud services, and often cannot apply advanced analytics. The centre advises maximising cross-asset visibility, pressing vendors to build monitorable systems, and moving beyond simple IOCs to detect TTPs. It also recommends the NCSC Assured incident response list and CyAS for validation.

🤖 Artificial intelligence is reshaping how organizations detect, investigate, and respond to cyber threats. The article explains how AI reduces alert noise, prioritizes vulnerabilities, and supports behavioral analysis, UEBA, and NLP-driven phishing detection. It highlights Wazuh's integrations with models such as Claude 3.5, Llama 3, and ChatGPT to provide conversational insights, automated hunting, and contextual remediation guidance.

🛡️ 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.

🔒 A PwC survey finds AI-based security is the top cybersecurity investment priority for the next 12 months, with 36% of business and technology executives ranking it among their top three budget areas. Security leaders prioritized AI threat hunting (48%) and agentic AI to boost cloud and operational efficiencies (35%). While 78% expect cyber budgets to rise, organizations report significant knowledge and skills gaps and low readiness for quantum threats.

🛡️ This post summarizes a hands-on workshop from LABScon that demonstrated automating large-scale threat hunting by combining the VirusTotal API with LLMs inside interactive Google Colab notebooks. The team recommends vt-py for robust programmatic access and provides a pre-built "meta Colab" that supplies Gemini with documentation and working code snippets so it can generate executable Python queries. Practical demos include LNK and CRX analyses, flattened dataframes, Sankey and choropleth visualizations, and stepwise relationship retrieval to accelerate investigations.

🛡️ AI is being applied across security operations in novel ways to predict, simulate, and deter attacks. Experts from BforeAI, NopalCyber, Hughes, XYPRO, AirMDR, and Kontra outline six approaches — predictive scoring, GAN-driven attack simulation, AI analyst assistants, micro-deviation detection, automated triage and response, and proactive generative deception — that aim to reduce alert fatigue, accelerate investigations, and increase attacker costs. Successful deployments depend on accurate ground truth data, continuous model updates, and significant compute and engineering investment.

🔒 A Cisco Talos Incident Response (IR) Retainer provides organizations with prioritized access to Talos' global threat intelligence and incident response specialists, combining proactive preparedness with rapid 24/7 mobilization. The retainer includes tailored IR plans, playbooks, readiness assessments, and tabletop exercises, plus proactive threat hunting using the PEAK Framework. Clients receive vendor-agnostic integration guidance, optional Cisco technology deployment, coordinated legal and PR support, and detailed post-incident reviews to reduce downtime and reputational harm.

🔒 Security leaders are balancing safe AI adoption with operational gains and focusing on five practical use cases where AI can improve security outcomes. Organizations are connecting LLMs to internal telemetry via standards like MCP, using agents and models such as Claude, Gemini and GPT-4o to automate threat hunting, translate technical metrics for executives, assess vendor and internal risk, and streamline Tier‑1 SOC work. Early deployments report time savings, clearer executive reporting and reduced analyst fatigue, but require robust guardrails, validation and feedback loops to ensure accuracy and trust.

🛡️ The Cyber Threat Intelligence Capability Maturity Model (CTI-CMM) offers a practical framework for assessing and advancing organizational threat intelligence efforts. It identifies 11 domains and associated CTI missions that support decision-making across areas such as asset management, threat and vulnerability management, incident response, and third-party risk. The model defines four maturity levels (CTI0–CTI3) from pre‑foundational, ad hoc practices to highly refined, strategic intelligence, and prescribes an iterative improvement cycle—prepare, assess, plan, deploy, measure. The guidance stresses focusing on stakeholder needs and delivering useful, timely intelligence rather than pursuing the highest maturity rating for its own sake.

🔐 The Cybersecurity and Infrastructure Security Agency (CISA) will present senior leaders and experts at the 16th Annual Billington CyberSecurity Summit, Sept. 9–12 in Washington, D.C. Acting Director Madhu Gottumukkala and new Executive Assistant Director for Cybersecurity Nick Andersen will deliver fireside chats outlining CISA’s strategic objectives. Other sessions address vulnerability management, threat hunting, supply chain collaboration, and AI in code security. Registration is required.

🔎 Our colleague Joseliyo Sánchez, together with SentinelOne researcher Aleksandar Milenkoski, will present a hands-on workshop at Labscon on automating large-scale threat hunting using the VirusTotal Enterprise API. Attendees will employ Python and Google Colab to process massive datasets, track APT behaviors, and apply LLMs to enhance analysis, query building, and visualizations. The session targets CTI analysts, threat hunters, incident responders, SOC analysts, and security researchers. A follow-up blog post will publish example exercises and materials for further learning.

🔒 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.