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.

Fastjson 1.x RCE Vulnerability Targeted in Attacks With No Patched Available

What Happened

Security firms ThreatBook and Imperva say attackers are targeting a critical flaw in Fastjson, Alibaba's JSON library for Java. In affected Spring Boot applications, a malicious JSON request can execute code without authentication, with the privileges of the Java process. Tracked as CVE-2026-16723, the vulnerability carries an Alibaba-assigned CVSS score of 9.0. The confirmed chain requires

Why It Matters

The article reports a critical remote code execution vulnerability, CVE-2026-16723, in Alibaba's Fastjson 1.x (versions 1.2.68–1.2.83) that is actively exploited in the wild and has no patched 1.x release because the branch is archived.[1][2][6][8][12] Exploitation is possible in Spring Boot fat-JAR applications via attacker-controlled JSON reaching Fastjson parsers under default configurations, allowing unauthenticated code execution with the Java process’s privileges.[1][2][3][12] From a RealGround perspective, any AI or agent platform, orchestration service, or model-serving stack built on Java/Spring that uses Fastjson 1.x in APIs, logging, feature ingestion, or configuration pipelines inherits this supply-chain risk; compromise at this layer can lead to full environment takeover, model tampering, or exfiltration of training and inference data. Practically, organizations should immediately inventory AI-adjacent services for Fastjson 1.x, enable SafeMode or noneautotype builds as interim mitigations, and plan migration to Fastjson 2.x or alternative JSON libraries, with SBOM-driven tracking across all AI and backend components.[1][2][6][8][12]

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://thehackernews.com/2026/07/fastjson-1x-rce-vulnerability-targeted.html