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.

Phishing Research Challenges Conventional Security Awareness Testing

What Happened

Analysis of 2.47 million simulated attacks shows why organizations should measure credential leaks and reporting, not just clicks. The post Phishing Research Challenges Conventional Security Awareness Testing appeared first on SecurityWeek .

Why It Matters

Fact: The article reports on research analyzing 2.47 million simulated phishing attacks, arguing that organizations should focus on measuring credential leaks and user reporting behavior rather than only tracking click rates in security awareness testing. Fact: This suggests that traditional metrics may underestimate real exposure from successful phishing, particularly the compromise of usernames and passwords. RealGround analysis: For organizations deploying AI-enabled systems or agents that rely on user accounts and integrated services, improved measurement of credential leakage directly reduces the risk that compromised identities are later abused to access AI systems or their data. RealGround analysis: An AI Security Readiness Assessment and AI CISO Advisory can help align phishing metrics, incident response, and identity controls with AI usage, so that leaked credentials do not become a pathway to data leakage or misuse of AI-powered capabilities.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/phishing-research-challenges-conventional-security-awareness-testing/