Is RealGround the same company as CyberSE.AI?

Yes. RealGround was formerly known as CyberSE.AI. The company rebranded and moved from www.cyberse.ai to www.realground.com; the old domain permanently redirects here. Same team, services, and content.

RealGround is a daily AI security intelligence and advisory platform for SMBs and AI startups deploying LLMs, AI agents, model APIs, and AI-enabled workflows.

What risks does RealGround cover?

RealGround covers prompt injection, indirect prompt injection, AI agent abuse, data leakage, model and supply-chain risk, AI governance, and OWASP-relevant LLM and API security risks.

What is agentic application security?

Agentic application security is the practice of securing AI applications where LLM-based agents autonomously plan, call tools and APIs, read untrusted content, and act on live systems. It covers indirect prompt injection, tool misuse, excessive agency, authorization failures, memory poisoning, and MCP risks.

Who provides agentic application security services?

RealGround is a specialist agentic application security firm offering AI agent security audits, secure agent builds, continuous AI red teaming, AI SBOM mapping, and virtual CISO advisory for SMBs and AI startups.

SecurityWeek Launches Critical Impact Awards to Recognize Excellence in Industrial Cybersecurity

What Happened

Independently judged and sponsor-neutral, the new awards program honors the people, organizations, and technologies delivering proven impact in industrial cybersecurity; winners to be announced live at the 2026 ICS Cybersecurity Conference in Nashville The post SecurityWeek Launches Critical Impact Awards to Recognize Excellence in Industrial Cybersecurity appeared first on SecurityWeek .

Why It Matters

The article reports that SecurityWeek has launched the Critical Impact Awards to recognize people, organizations, and technologies that have demonstrated proven impact in industrial cybersecurity, with winners to be announced at the 2026 ICS Cybersecurity Conference in Nashville.[1] The program is described as independently judged and sponsor-neutral, focusing on excellence in industrial cyber defense.[1] From a RealGround perspective, while the article does not mention AI directly, it highlights an emerging benchmark culture around industrial cybersecurity performance and assurance, which can extend to AI-enabled ICS monitoring, anomaly detection, and autonomous response systems. Organizations deploying AI in industrial environments can use such award criteria and industry recognition programs as informal governance inputs when preparing for an AI Security Readiness Assessment and aligning their AI risk management practices with leading industrial cybersecurity standards.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to compliance / governance. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

Restrict AI agent tool permissions and production write paths.
Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
Add human approval workflows for high-impact or state-changing actions.
Run prompt injection and indirect prompt injection tests against affected workflows.
Document the owner, control gap, and remediation deadline for this risk class.

Source

https://www.securityweek.com/securityweek-launches-critical-impact-awards-to-recognize-excellence-in-industrial-cybersecurity/