All news with #threat hunting tag

🔍 Offensive security is becoming central to enterprise defenses as CISOs increasingly add red teams and institutionalize purple teaming to surface gaps and harden controls. Practices range from traditional vulnerability management and pen testing to adversary emulation, social engineering assessments, and security-tool evasion testing. Vendors are embedding automation, analytics, and AI to boost effectiveness and lower barriers to entry. While budget, skills, and the risk of finding unfixable flaws remain obstacles, leaders say OffSec produces the data-driven evidence needed to prioritize remediation and counter more sophisticated, AI-enabled attacks.

🔍 NETSCOUT’s Omnis Cyber Intelligence was named “Overall Network Security Solution of the Year” in the ninth annual CyberSecurity Breakthrough Awards. The platform delivers always-on, packet-based visibility using scalable deep packet inspection to continuously capture, analyze, and retain high-fidelity network metadata. Its on-sensor storage minimizes data movement and helps address compliance and sovereignty requirements while providing the historical context analysts need to investigate threats across cloud and on-premises environments.

🔍 Recent ESG research finds that many organizations still turn to the network first for threat detection: 53% cite network visibility as their primary defense and 93% of SecOps and NetOps now share visibility tools. Packets offer an unaltered record of communications, making modern NDR essential across hybrid and multicloud environments. Detection is only the first step; full packet capture and deep network intelligence enable thorough investigation. NETSCOUT Omnis Cyber Intelligence unifies visibility and delivers packet-level context to reduce blind spots and accelerate response.

🔐 Enterprises often over-invest in rapid detection tools while under-resourcing their SOC, creating a dangerous asymmetry. A cross-company phishing campaign bypassed eight leading email defenses but was caught by SOC teams after employee reports, illustrating the SOC's broader context and investigative power. Investing in an AI-driven SOC like Radiant Security can triage alerts, reduce false positives, and extend 24/7 coverage for lean teams.

🔍 Huntress Labs detailed a Qilin ransomware investigation in which visibility was constrained because their agent was installed after the compromise and only on a single endpoint. Analysts correlated managed antivirus alerts, Windows Event Logs, AmCache, PCA logs, and VirusTotal to reconstruct a timeline showing a rogue ScreenConnect RMM deployment, attempts to run infostealer binaries, tampering with Windows Defender, and likely ransomware execution from another host. The report stresses validating artifacts across multiple sources to avoid false assumptions and inform accurate remediation.

🔎 Vulnerability-informed hunting transforms static vulnerability scans into dynamic intelligence by enriching CVE data with asset context, exploit activity and threat feeds. The article shows how mapping vulnerabilities to adversary behaviors (for example, Log4Shell, ProxyShell and Zerologon) lets teams run focused hunts that detect exploitation or reveal telemetry gaps. It advocates a continuous loop where hunts inform detection engineering, improving logging, SIEM content and overall resilience.

🤖 AI-driven adversarial bots are rapidly amplifying attackers' capabilities, enabling autonomous pen testing and large-scale credential abuse that many organizations aren't prepared to detect or remediate. Tools like XBOW and Hexstrike-AI demonstrate how agentic systems can discover zero-days and coordinate complex operations at scale. Defenders must adopt continuous, context-rich approaches such as digital twins for real-time threat modeling rather than relying on incremental automation.

🔐 DDI logs — DNS, DHCP and IP address management — are the authoritative record of network behavior, and when combined with AI become a high-fidelity source for threat detection and automated response. Integrated DDI-AI correlates disparate events into actionable incidents, enabling SOAR-driven quarantines and DNS blocking at machine speed. This fusion also powers continuous, AI-driven breach and attack simulation to validate defenses and harden models.

🔍 Acronis TRU describes practical VirusTotal hunting techniques used to track the FileFix ClickFix variant, the long-running SideWinder actor, and the Shadow Vector SVG campaign targeting Colombian users. Using Livehunt, content-based YARA rules, VT Diff, and metadata pivoting, analysts located clipboard-based web payloads, document exploits (CVE‑2017‑0199/11882), and judicial-themed SVG decoys. The post emphasizes iterative rule tuning, retrohunt for timelines, and infrastructure pivots that convert fragmented indicators into actionable intelligence.

🔍 Check Point Research and External Risk Management experts explain how combining AI-driven analytics with seasoned human threat hunters enables organizations to detect and anticipate attacks before they strike. The AMA webinar, featuring leaders like Sergey Shykevich and Pedro Drimel Neto, detailed telemetry fusion, rapid malware analysis, and automated triage to act at machine speed. Speakers stressed continuous intelligence, cross-team collaboration, and proactive hunting to shorten dwell time. The approach blends scalable automation with human context to prevent large-scale incidents.

🔍 SOC analysts are increasingly overwhelmed by alert volume and contextual blind spots that force extensive manual triage. Continuous exposure management brings environment-specific intelligence into existing EDR, SIEM, and SOAR workflows to prioritize assets, validate exploitability, and visualize attack paths. By correlating exposures with MITRE ATT&CK techniques and automating remediation workflows, teams reduce false positives, accelerate investigations, and harden detections over time.

📊 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.