On June 9, 2026, Anthropic released Claude Fable 5, its first generally available Mythos-class model. For application security teams, this is a critical development. Mythos-class is Anthropic's most capable tier. Of its locked-down sibling, Claude Mythos 5, Anthropic says it "has the strongest cybersecurity capabilities of any model in the ... Read More

TL;DR Organizations take an average of 194 days to identify breaches that start in applications where traditional security tools lack visibility. Runtime application security embeds sensors directly into code execution, detecting attacks immediately as they happen. SOC teams gain instant visibility into dozens of attacks each month that bypass EDR ... Read More

TL;DR Security teams face two compounding problems: overwhelming alert volume and insufficient context to act on them. An application security intelligence layer solves both by enriching alerts with runtime context and correlation. It shows not just that something happened, but what it means and whether it matters. The result: faster ... Read More

The AI wave is driving massive changes in how organizations deliver and secure software. 93% of enterprises now ship AI-generated code to production.1 Simultaneously, every application security vendor in the market is racing to attach the word "AI" to their scanner. The pitch writes itself: point the robot at your ... Read More

Security operations centers process an average of 3,832 alerts daily, with 83% of security professionals reporting significant challenges in managing alert volumes effectively. This operational reality reflects the evolution of security architectures over the past decade, in which specialized tools have proliferated to address increasingly sophisticated threats. Understanding how to ... Read More

TL;DR Security teams remediate an average of 6 vulnerabilities per application monthly, while approximately 17 new ones appear, creating an ever-growing backlog. Execution context reveals which vulnerabilities are exposed to external inputs and actively exercised in production, allowing teams to improve vulnerability prioritization by focusing on what attackers can actually ... Read More

TL;DR Research from Contrast Security's Software Under Siege 2025 report reveals that applications face an average of 81 viable attacks per month that reach actual vulnerabilities, while perimeter-based detection tools generate overwhelming alert volumes with minimal correlation to real-world exploits. Runtime analytics powered by the Contrast Graph detects attacks during ... Read More

TL;DR Traditional application security focuses on finding vulnerabilities before code ships. However, pre-production scanning identifies theoretical risks while production reveals what is actually reachable, exploitable, and under active attack. Production-first security leverages runtime intelligence to prioritize remediation, giving teams visibility into real-world attack patterns rather than hypothetical weaknesses ... Read More

TL;DR Network security monitoring excels at traffic analysis and perimeter defense, yet research shows WAF alerts generate overwhelming noise with minimal correlation to actual exploit attempts. The gap exists because network tools operate at the packet level or network edge, while application attacks exploit vulnerabilities during code execution. Runtime application ... Read More

TL;DR Board-ready security metrics translate technical capabilities into financial risk and business outcomes. Boards need visibility across three dimensions: risk exposure, incident response capability, and governance compliance. Runtime application security contributes meaningful data points to these broader metrics, helping security leaders present more complete organizational risk assessments ... Read More