A concise, fact-based update for security and risk professionals covering the past 24 hours.

🔐 Core Security Intelligence

1) NRI Secure launches ASMimosa, an AI-powered asset discovery platform

What’s new:
Japanese cybersecurity firm NRI Secure launched ASMimosa, an AI-driven Attack Surface Management (ASM) solution that automatically identifies both known and unknown assets across hybrid IT environments.
Source: NRI Secure launches ASMimosa to boost cyber defense

Why it matters:
Unseen assets, like forgotten servers and unsanctioned SaaS, are now prime targets. AI-driven discovery accelerates defenders’ ability to find and secure those exposures before attackers do.

Defenses:

• Deploy AI-powered ASM tools. Use automated scanning to continuously map digital assets.
• Integrate ASM outputs into ITAM and CMDB systems. Ensure new discoveries automatically feed patching and risk workflows.
• Investigate anomalies. Unregistered assets should trigger immediate access and ownership review.

Expert Insight:
Visibility is the foundation of security. AI doesn’t just find assets faster, it eliminates excuses for blind spots.

2) Aptori introduces Code-Q, an AI engine for automatic vulnerability remediation

What’s new:
Aptori launched Code-Q, an AI-based remediation engine that analyzes confirmed vulnerabilities and generates validated code patches within CI/CD workflows.
Source: Aptori launches Code-Q AI-powered security platform

Why it matters:
Finding vulnerabilities is no longer the hard part, fixing them at scale is. AI-assisted remediation shortens the exposure window but must remain auditable.

Defenses:

• Integrate remediation automation. Embed Code-Q or similar tools into secure development pipelines.
• Require human validation. Review AI-generated patches for logic and security soundness.
• Audit AI code changes. Maintain full traceability and rollback control.

Expert Insight:
Automated remediation closes the loop between detection and response, but governance ensures fixes don’t become new vulnerabilities.

3) Lawmakers call for FTC investigation into Flock Safety’s surveillance-data security

What’s new:
U.S. lawmakers Ron Wyden and Raja Krishnamoorthi urged the FTC to investigate Flock Safety for alleged data-security lapses in its nationwide license-plate reader (LPR) network used by police and private entities.
Source: Lawmakers call for FTC probe into Flock Safety over data security failures

Why it matters:
AI-enhanced surveillance networks store vast sensitive data but often operate under minimal cybersecurity scrutiny. Breaches, or even poor controls, can expose millions of records.

Defenses:

• Audit third-party surveillance vendors. Require encryption, logging, and access reviews.
• Treat LPR data as high-risk. Apply the same controls used for PII and regulated data.
• Track vendor transparency. Include disclosure cadence and incident response in contracts.

Expert Insight:
AI surveillance is no longer science fiction, it’s supply-chain risk. Privacy, security, and vendor management now overlap completely.

🌐 Extended AI Risk & Governance

4) The agentic AI revolution: businesses risk falling behind

What’s new:
A recent analysis warns that organizations treating agentic AI as an experiment, not infrastructure, will be overtaken by competitors adopting autonomous systems at scale.
Source: The agentic AI revolution: why your business is about to get disrupted

Why it matters:
Agentic AI transforms workflows from static automation to self-directed operations, creating both opportunity and new attack surfaces. Defenders must secure agents as they would employees or APIs.

Expert Insight:
You can’t bolt security onto autonomy later. Enterprises embracing agentic AI must build identity, observability, and guardrails in from day one.

⚠️ Updates / Follow-ups

No significant updates to previously covered stories.

Summary Table

Categories: Cybersecurity News

Tags: Agentic AI, AI Security, Asset Discovery, Automated Remediation