cloud-sniper

Cloud Sniper : Detection-as-code platform Cloud Sniper is a comprehensive platform meticulously designed to streamline Cloud Security Operations. It swiftly responds to security incidents by analyzing and correlating cloud artifacts, ensuring a holistic view of the company's cloud security postur...

PatrowlManager

Codacy Badge PatrOwl PatrOwl is a scalable, free and open-source solution for orchestrating Security Operations. PatrowlManager is the Front-end application for managing the assets, reviewing risks on real-time, orchestrating the operations scans, searches, API calls, ..., aggregating the results...

Gideon

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KQL-threat-hunting-queries

Threat hunting/detecting using KQL queries | |/ / | | | | | | | | | / | | | | | | | | | \ | | | | \ | |/ | | ' | | | | | | | | || | | | | / \ | | | || | | | | | | | | | || | | | | . | || | | | | | | !NOTE Jan. 27th: After almost a year of contributions, this repository is undergoing a heavy...

security-operations-labs

Security Operations Labs Overview This repository consolidates defensive security work from a university context in a form reworked for public traceability. The focus is on methodology, reproducible labs, validation, and the limitations of the measures developed—not on publishing course material...

Webinar: How to Build AI Threat Readiness Into Your Security Operations

Security teams have spent years trying to detect threats faster. AI is changing the harder part: how much time defenders have left to act. Advanced AI models can now help attackers discover vulnerabilities, generate exploit code, and move through weaknesses faster than traditional security...

The Rise of the Threat Operator: How AI Will Redefine Security Operations and Careers

AI is beginning to take over much of the work that has traditionally defined the security analyst's job. Investigating alerts, collecting evidence, correlating activity across tools, and executing response actions are becoming tasks that AI systems can perform on their own. As these capabilities...

From Hype to ROI: An Economic Model for LLM Adoption in Information Systems and Security Operations

Large Language Models LLMs promise significant efficiency gains across information-intensive operations by automating repetitive language-based tasks. However, adoption decisions remain largely opportunistic, as organizations struggle to move from pilots to sustainable industrialization. Without...

Where Rules End and Judges Begin: Measuring the Judgment Boundary in Multi-Agent Systems Security

LLM-based multi-agent systems MAS engage tools, share memory, and delegate tasks, often encountering adversarial content. Current defenses for MAS are typically evaluated in isolation, focusing on one attack type at a time, which can lead to costly and hard-to-audit outcomes. This study organizes...

The State of Cybersecurity in 2026: Key Segments, Insights, and Innovations

Featuring: Cybersecurity is being reshaped by the expansion of cloud infrastructure, AI, distributed systems, and increasingly complex digital environments. As organizations manage more identities, devices, data, and internet-facing infrastructure, security is shifting toward continuous visibilit...

Investing Together: Wiz Defend and Google Security Operations

Continuing to deepen the integration between Wiz Defend and Google Security Operations, helping teams work faster wherever they choose to investigate...

When the Whole Company Adopts AI: What It Does to Your SOC

Over the past year, we watched a new class of alert appear in enterprise security operations centers and grow faster than anything else in the stream: alerts that were triggered by AI tools and agents. Not attacks against AI, but the ordinary, everyday footprint of an organization using it, from...

Webinar: Learn How to Answer “Are We Exposed?” Faster After a New CVE

A major vulnerability is disclosed. The alert lands immediately. Then comes the harder question: Are we actually exposed? For many security teams, answering that means jumping between vulnerability scanners, endpoint tools, cloud inventories, SBOMs, repositories, and application data to build...

Can Risk-Based Alerting Mitigate Cybersecurity Alert Fatigue?

Security operations centers SOCs face large numbers of false alerts, making detection of cyberattacks difficult under typical resource constraints. Risk-based alerting RBA has been proposed as a means to reduce false alerts and has reportedly succeeded in doing so in various enterprise deployment...

What the Data Says About AI in Security Operations in 2026

AI is officially mainstream in security operations. According to Prophet Security's State of AI in Security Operations 2026 report produced from ViB’s survey of 250+ cybersecurity pros, 40% of security teams now use AI daily. Another 56% are currently testing it out, and only 4% have no plans to...

Imagine the SOC Without a Queue: From Alert Backlog to AI Hypothesis Engine

The SOC we've always known was built around a model that guarantees most of the alert queue will never receive analyst review. There's never time. In a traditional SOC, the typical progression follows a well-known pattern: an alert arrives; a detection engine assigns a severity score. The issue...

PatrowlManager v1.8.4

Codacy Badge PatrOwl PatrOwl is a scalable, free and open-source solution for orchestrating Security Operations. PatrowlManager is the Front-end application for managing the assets, reviewing risks on real-time, orchestrating the operations scans, searches, API calls, ..., aggregating the results...

Microsoft named a Leader in the 2026 IDC MarketScape for MDR/MXDR for the Enterprise

Security teams are being asked to defend a growing attack surface with fewer people and around the clock, against threat actors who never take a night off. As cyberattackers increasingly use AI to launch and scale campaigns, the volume, speed, and sophistication of threats continue to rise. Closi...

CyberStrikeAI v1.7.12

CyberStrikeAI 中文 | English The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next. CyberStrikeAI connects planning, execution, human oversight, evidence, and replay in one auditable...

CVE-2026-15587

CVE-2026-15587 affects Google SecOps (Chronicle SOAR) prior to version 6.3.85 on Google Cloud Platform. An authenticated attacker could escalate to system-level admin via a crafted internal authentication header. The issue is mitigated by upgrading to 6.3.85; Google notes no customer action is re...