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.

AegisAI Raises $36 Million for AI-Powered Email Security

What Happened

The company has raised a total of $49 million in funding, including from Battery Ventures, Accel and Foundation Capital. The post AegisAI Raises $36 Million for AI-Powered Email Security appeared first on SecurityWeek .

Why It Matters

Reported facts: AegisAI is a SaaS email security platform that uses orchestrated, autonomous AI agents to investigate and neutralize email threats, including phishing, BEC, and zero-day attacks, and has raised a total of $49M in funding from investors such as Battery Ventures, Accel and Foundation Capital[2][3][4]. The company positions itself as a replacement for traditional rule-based email filters by relying on agentic AI to analyze every email like a human analyst[1][4]. RealGround analysis: An AI-native email security SaaS platform introduces specific SaaS AI risks, including potential data leakage through email content processed by AI agents, supply chain exposure from third‑party AI components, and the need for robust controls around autonomous decision-making on user communications. This context makes Secure AI Agent Build and Continuous AI Red Teaming valuable to harden agent behavior and adversarial resilience, while AI Supply Chain & SBOM Advisory helps map and manage dependencies in the AI stack that could be exploited or introduce hidden vulnerabilities.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to SaaS AI risk. 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/aegisai-raises-36-million-for-ai-powered-email-security/