Hypotheses, telemetry, and human judgment: Inside Cisco Talos Threat Hunting

By Ron Scott-Adams Most security tools operate on a simple principle: If a known-bad pattern appears, fire an alert. This works well enough for many threats, but it fails against adversaries who closely study detection thresholds and deliberately stay under them. Cisco Talos Threat Hunting operat...

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the latency-accuracy trade-offs of TinyML-compatible classical models -- Random Forest, Logistic Regression, SVM, and MLP -- for detecting uplink jamming...

waf-engine

WAF & SOAR Engine A cloud-native Web Application Firewall and...

WireDown

WireDown Autonomous AI-Driven Honeypot in a Zero-Gravity Physi...

How Can MSSPs Scale Threat Detection Without Burning Out Their Analysts?

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings...

cve-honeypot

🪤 CVE Honeypot Farm Emulates vulnerable services based on rea...

GenAI-Driven Threat Detection with Microsoft Security Copilot

Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into detection logic. This places defenders in a reactive posture, requiring constantly updated expertise across an increasingly fragmented security...

Introducing Runtime Threat Detection for Google Cloud Run

Wiz Runtime Sensor support for Google Cloud Run Containers is now generally available, giving teams real-time threat detection and response for their serverless container workloads...

Advance_WAF_project_CS

WAFinity - Infinite Protection, Intelligent Detection WAFin...

When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications

Natural language interfaces to structured databases are becoming increasingly common, largely due to advances in large language models LLMs that enable users to query data using conversational input rather than formal query languages such as SQL. While this paradigm significantly improves usabili...

What’s new, updated, or recently released in Microsoft Security

New capabilities in Microsoft Agent 365; new Microsoft Defender and GitHub integration At Microsoft, security innovations are purpose-built to help every organization protect end-to-end with the speed and scale of AI. Our vision is simple: security should be ambient and autonomous, just like the ...

What’s new, updated, or recently released in Microsoft Security

New capabilities in Microsoft Agent 365; new Microsoft Defender and GitHub integration At Microsoft, security innovations are purpose-built to help every organization protect end-to-end with the speed and scale of AI. Our vision is simple: security should be ambient and autonomous, just like the ...

CTEM for Telecom Companies

Protect Network Infrastructure. Prevent Service Disruption. Secure 5G, IoT, and Subscriber Data. Telecommunications companies operate the most interconnected infrastructure on the planet. Your networks carry voice, data, and critical services for millions of subscribers, enterprises, and governme...

Toward Autonomous SOC Operations: End-To-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Security Operations Centers SOCs face mounting operational challenges. These challenges come from increasing threat volumes, heterogeneous SIEM platforms, and time-consuming manual triage workflows. We present an end-to-end threat management framework that integrates ensemble-based detection,...

AI-powered defense for an AI-accelerated threat landscape

We are at an inflection point in cybersecurity. Recent advances in AI model capabilities are changing how vulnerabilities are discovered and exploited. AI models can autonomously discover weaknesses, chain multiple lower-severity issues into working end-to-end exploits, and produce working...

Threat Detection and Resilience Techniques in PRS-Assisted OTDOA 5G Positioning Systems

Precise positioning is a key enabler for emerging 5G applications, from autonomous transport to industrial automation. Yet the open physical layer PL leaves standard positioning reference signals PRSs vulnerable to manipulation. This work addresses the security of downlink observed time differenc...

HONEYPOTX-AI-Powered-Cyber-Threat-Detection-System

No d...

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor weaknesses that account for the bulk of security incidents. To tackle these issues, we present SentinelSphere, a platform driven by artificial...

Malware and Ransomware Detection in M365

Availability Requirement Threat Detection is available to Veeam Data Cloud for Microsoft 365 customers with Premium or Advanced plans. Customers must opt in to AI settings to enable this feature. Contact your Veeam account team or see your plan details to confirm availability. Supported Workloads...

Graph Neural Network-Based DDoS Protection for Data Center Infrastructure

In light of rising cybersecurity threats, data center providers face growing pressure to protect their own management infrastructure from Distributed Denial-of-Service DDoS attacks. While tenant-managed cages generally fall outside the data center's direct security purview, a successful DDoS...