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.

Truck Brake Controller’s Safety Recall Doubled as Hidden Security Fix

What Happened

NMFTA research shows a Bendix EC80 brake controller safety recall also patched remote code execution and DoS vulnerabilities. The post Truck Brake Controller’s Safety Recall Doubled as Hidden Security Fix appeared first on SecurityWeek .

Why It Matters

The article reports that a Bendix EC80 brake controller safety recall also addressed security flaws, including remote code execution and denial-of-service vulnerabilities. NMFTA’s analysis says the recall was triggered by a software defect in J2497 powerline message processing that could cause firmware faults, crashes, and braking-impacting behavior. RealGround analysis: because the fix is embedded in a safety-critical component and touches firmware/software integrity, this fits AI supply chain risk only indirectly; the practical concern is validating component provenance, software updates, and downstream exposure in any connected or automated fleet systems.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI supply chain. 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/truck-brake-controllers-safety-recall-doubled-as-hidden-security-fix/