Blogs & Articles

With Mythos, the "hair on fire" of cybersecurity has become a bonfire.

As attackers use AI to create threats at scale and at machine speed, agents are already being used by many MDR and DXR vendors and service providers to supply autonomous features that assist human operators and augment existing security tools.

They Are Design Signals Over the past year, a series of so-called “leaks” involving large language models (LLMs) and emerging agentic systems have captured industry attention. The most cited example is the exposure of system prompts and behavioral scaffolding behind models like Claude from Anthropic, alongside similar disclosures affecting models from OpenAI. These events have often been framed as isolated incidents or, alternatively, dismissed as overblown artifacts of jailb

As artificial intelligence systems become more capable and more embedded in business operations, a central question continues to surface: How do you ensure these systems behave in ways that are useful, safe, and aligned with human intent? One of the more influential answers to emerge in recent years is Constitutional AI , an approach pioneered by Anthropic . How AI moves from training to the reinforcement phase in "Constitutional AI" (AI generated image) At its core, Constitu

Managed detection and response did not emerge as a fully formed category. It grew out of a very specific problem. Organizations bought better tools, but too many still lacked the people, process, and operational maturity to run them well around the clock. What began in the mid-2010s as a service layer around endpoint detection and response (EDR) has since evolved into something much broader: a security operations model that spans endpoint, identity, cloud, email, SaaS, and no