Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Three Years as a Leader. Built for Where the Market Is Going.

Being recognized as a Leader in the Gartner Magic Quadrant for SASE Platforms for the third consecutive year is an important milestone for Cato Networks. We believe it reflects more than consistent execution. It comes at a time when enterprise networking and security are entering another architectural transition, one driven by AI.

2026 H1 Threat Review: AI, Ransomware & Emerging Cyber Threats

Cyber threats continue to evolve, and the first half of 2026 delivered no shortage of new challenges. Forescout Research – Vedere Labs' 2026 H1 Threat Review examines the latest trends in vulnerabilities, ransomware, threat actor activity, supply chain security, and AI-driven attacks. Discover the key findings, emerging attack patterns, and practical recommendations security teams can use to better understand and reduce risk.

ACE: Slash Fines & Boost Automation | Cloud Security Explained #shorts

Discover how ACE empowers your business with robust risk management and intelligent automation. Gain visibility, stack-rank critical risks, and ensure compliance with PCI, NIST, HIPAA, and more. Accelerate application delivery with automated change requests and zero-touch deployments.
Featured Post

Protecting the Corporate Nervous System: How to Prioritize Network Security Assurance

Network security protects the nervous system of modern businesses. Highly connected and widely distributed throughout the corporate body, it keeps applications regulated, tools performing, and operations stable when functioning well. But like the human nervous system, it is vulnerable to drifting away from an optimal state and becoming weaker, leaving it open to attack. While the human nervous system is affected by stress, lack of sleep, and poor nutrition, digital network security is prone to accidental misconfigurations, ungoverned rule changes, and controls that drift away from their intended state.

Evaluating AI systems at Corelight

AI system evaluation is the process of continuously assessing AI system capabilities, limitations, and performance through quantitative and qualitative measures. Across the system lifecycle, evals provide continuous assurance: Validating system behavior before deployment and detecting drift, bias, and reliability issues in production.

NEW! WAF Posture Management: Building Stronger WAF Programs for the Mythos Era

It comes as no surprise that the Mythos era continues to put pressure on security teams: it’s never been easier for attackers to find and weaponize vulnerabilities at scale, and comparable capability is only becoming more available. The gap between a CVE’s disclosure and its exploitation is compressing fast, while patches still take days to weeks to roll out.