anomaly detection
SaaS Sprawl has Become the New Shadow IT: Why Traditional Security Struggles to See (and Stop) ItÂ
Amit Bareket | | AI integrations, anomaly detection, API security, Application-Layer Visibility, behavioral analytics, CASB, continuous discovery, governance, misconfigurations, OAuth permissions, permission scopes, plugin risk, real-time remediation, SaaS posture, SaaS Sprawl, SaaS-to-SaaS, SaaSOps, shadow IT, third-party integrations, token revocation
Analysis of SaaS sprawl amplified by AI integrations arguing for continuous discovery, application-layer visibility, policy enforcement, and real-time remediation to tame shadow IT and API‑level risk ...
Security Boulevard
Why Attackers no Longer Need to Break in: The Rise of Identity-Based AttacksÂ
Anjali Gopinadhan Nair | | account takeover, anomaly detection, credential market, dark web, deepfakes, hardware keys, IAM inventory, identity perimeter, Identity Theft, least privilege, Machine Identities, mfa fatigue, Passkeys, Privileged access management, service accounts, Session hijacking, social engineering, stolen credentials, voice phishing, VPN credentials, zero trust
In 2026 stolen credentials and unmanaged machine identities drive breaches—small buys, phone scams, and weak IAM make identity the real perimeter; prioritize inventory, least privilege, and stronger auth ...
Security Boulevard
Are AI Firewalls Worth the Investment?Â
Sergej Kostenko | | Adversarial AI, AI cyberattacks, AI security market, AI-driven phishing, AI-powered firewalls, Alert Fatigue, anomaly detection, behavioral analysis, cloud-based AI firewalls, cyberattack costsPrefiero esta respuesta, Cybersecurity ROI, data privacy compliance, deep packet inspection, Edge-AI security, false positives, firewall upgrade justification, GDPR risk, hybrid firewall model, predictive threat hunting, Ransomware, SIEM Integration, Threat Intelligence
AI-powered cyberattacks are rising fast, and AI firewalls offer predictive, adaptive defense—but their cost, complexity and ROI must be carefully justified as organizations weigh upgrades ...
Security Boulevard
Cloud Security Automation: Using AI to Strengthen Defenses and ResponseÂ
Harikrishna Kundariya | | AI cloud security, AI Cybersecurity, AI Driven SOC, AI for DevSecOps, AI implementation tips, AI in cybersecurity 2025, AI response automation, AI response time, AI threat detection, AI vulnerability management, AI-driven threat prevention, AI-powered defense, Alert Fatigue, anomaly detection, artificial intelligence in cloud security, automated incident response, cloud AI monitoring, Cloud Data Protection, cloud infrastructure protection, Cloud Security Automation, Cybersecurity Automation, cybersecurity efficiency, identity and access control, Machine Learning security, Proactive Cybersecurity, real time security, Security Operations Centers, Threat analysis, Zero Day Attacks
AI-driven automation is transforming cloud security by detecting anomalies in real time, and enabling intelligent threat response ...
Security Boulevard
How Can Generative AI Transform the Future of Identity and Access ManagementÂ
Joydip Kanjilal | | Access control, Access Governance, adaptive authentication, AI bias, AI in Cybersecurity, AI in IT operations, AI-powered IAM, anomaly detection, Cybersecurity, Data Privacy, enterprise security, ethical AI, generative AI, generative AI in security, Hybrid cloud security, iam, identity and access management, Intelligent automation, threat detection, user identity management
Generative AI is transforming identity and access management by enabling adaptive authentication, real-time threat detection, and smarter cybersecurity ...
Security Boulevard
Mastering Real-Time Cloud Data Governance Amid Evolving Threats and Regulations
Karthik Reddy | | anomaly detection, automated policy enforcement, cloud data security, cloud governance, Cloud Infrastructure, compliance reporting, data lineage, Data Privacy, dynamic policy management, eal-time data governance, least privilege access, metadata catalog, Regulatory Compliance, sensitive data protection, threat detection
Real-time data governance provides security and privacy teams with immediate visibility into what is happening, allowing them to stop a problem before it becomes a crisis ...
Security Boulevard
Anomaly Detection at Scale: Machine Learning Approaches for Enterprise Data Monitoring
Nirup Kumar Reddy Pothireddy | | anomaly detection, data analytics, edge computing, Enterprise Data Monitoring, iot, machine learning, Real-time monitoring
Anomaly detection involves methods that assist in identifying data points or occurrences that differ from the anticipated behavior patterns ...
Security Boulevard
What a mesh — GNNs in cybersecurity
What a mesh — GNNs in cybersecurityWhy graph-based Deep Learning has not lived up to its promiseIn this blog, I dive into a technology that has recently been among the most hyped, and most disappointing, ...
Why isn’t anomaly detection well-regarded in Cyber Security?
Anomaly detection has long been viewed as a promising approach to indicating potential cybersecurity attacks. With the sheer volume of logs, alerts, and network traffic, the task of identifying unusual activity is ...
MixMode: Revolutionizing Threat Detection and Prioritization in Cybersecurity
Joe Ariganello | | anomaly detection, Anomoly Detection, Blog, Detection Surface, identity threat detection and response, MixMode Platform, Network Detection and Response, Real Time Threat Detection, threat detection, Threat Detection Investigation and Response
Enter MixMode. The MixMode Platform is a cutting-edge cybersecurity solution that is changing the game in threat detection and prioritization. The MixMode Platform offers a powerful alternative to traditional security tools by ...

