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.

PostgreSQL Fixes 12-Year-Old Logical Decoding Flaw Enabling Replication-Role Code Execution

What Happened

PostgreSQL has released updates to address a security flaw that allows an account with the REPLICATION attribute to run arbitrary code as the operating-system user running the database server. The flaw, tracked as CVE-2026-6471 (CVSS score: 7.2), has been present since logical decoding was introduced in PostgreSQL 9.4 in 2014. Versions before PostgreSQL 18.6, 17.11, 16.15, 15.19, and 14.24 are

Why It Matters

Report facts: PostgreSQL has patched CVE-2026-6471, a long‑standing logical decoding flaw that allows accounts with the REPLICATION attribute to execute arbitrary code as the OS user running the database server; affected versions are those prior to 18.6, 17.11, 16.15, 15.19, and 14.24. This is a traditional database RCE issue, not an AI‑specific bug, but it impacts the infrastructure many AI systems depend on for state, logs, and training data storage. RealGround analysis: Compromise of a PostgreSQL instance underpinning AI applications can enable data tampering, exfiltration, or poisoning of stored inputs and outputs, indirectly affecting AI model behavior and integrity. Organizations should treat this as an AI supply chain risk, ensure timely patching across all AI‑adjacent databases, and update SBOMs and readiness plans to reflect dependency on specific PostgreSQL versions.

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/2026/09/postgresql-fixes-12-year-old-logical.html