Oct 3 · CyberSecurity Month 2026 · Full awareness briefing

🤖 AI Security

The New Attack Surface: AI, LLMs & AI Agents

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Full awareness program — 12 sections below this dashboard. Use the table of contents or scroll.

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Day overview Insight & risks Mission & scope Scope map Threat context Objectives

Pillar: Understand the Threat — Understand the threat before you can defend against it.

Day 3 · Week 1

Oct 3

AI Security

AI expands the attack surface

The New Attack Surface: AI, LLMs & AI Agents

Content format

Infographic

Campaign progress10%

Day 3 of 31

Key metrics

Prompt + toolsNew surface

LLM firewallControl

Red teamAssurance

Risk signals to address today

Data leakage via prompts

Tool misuse by agents

Unvetted third-party models

Today's action path

Inventory AI use cases and data classes

Deploy LLM gateway policies

Red-team top workflows

AI expands the attack surface

LLMs, copilots, and agents ingest data, call tools, and act on prompts—each layer introduces confidentiality, integrity, and abuse risks traditional perimeter controls miss.

Executive summary

"AI expands the attack surface" matters because data leakage via prompts can cascade into regulatory, financial, and trust impacts when left unowned. This day converts awareness into accountable action across leadership, SecOps, GRC, and all staff.

Awareness program

Mission & campaign scope

30 Days. 30 Risks. One Mission. CyberSecurity Month 2026 is a 30-day Cybersecurity & AI Security action campaign connecting governance, technology, resilience, and incident response — not awareness alone.

Week 1 — Understand the Threat: Understand the threat before you can defend against it. Today's theme "AI Security" advances this pillar with format "Infographic".

Campaign scope map

Five pillars · campaign architecture

CyberSecurity Month 2026 connects governance, technology, resilience, and incident response — you are on Day 3.

Oct 1–6

Understand the Threat

Understand the threat before you can defend against it.

🤖 AI Security

Oct 7–13

Secure AI

AI is creating a new attack surface—and traditional security controls cannot address every AI-specific risk.

Oct 14–18

Govern & Protect Data

Security, privacy, governance, and AI risk are increasingly interconnected.

Oct 19–25

Detect, Investigate & Respond

Assume compromise. Validate controls. Detect faster. Respond better.

Oct 26–31

Build Cyber Resilience

Cybersecurity is ultimately about organizational resilience.

Governance

Technology

Resilience

DFIR

GRC

AI Security

Assurance

Community

Threat & business context

Threat landscape

LLMs, copilots, and agents ingest data, call tools, and act on prompts—each layer introduces confidentiality, integrity, and abuse risks traditional perimeter controls miss. In 2026, attackers exploit gaps between AI adoption, cloud sprawl, and governance lag. Today's focus "AI Security" addresses: Data leakage via prompts, Tool misuse by agents, Unvetted third-party models.

Why today matters

Aligned campaign objectives

Objective 1
Build cybersecurity awareness across organizations and individuals.
Supports Day 3 (AI Security) within pillar "Understand the Threat".
Objective 6
Promote Zero Trust and continuous security validation.
Supports Day 3 (AI Security) within pillar "Understand the Threat".
Objective 7
Improve awareness of ransomware and phishing.
Supports Day 3 (AI Security) within pillar "Understand the Threat".
Objective 5
Connect cybersecurity with GRC, compliance, and risk management.
Supports Day 3 (AI Security) within pillar "Understand the Threat".

Program flow — act today

Governance → Technology → Resilience → DFIR

Understand

LLMs, copilots, and agents ingest data, call tools, and act on prompts—each layer introduces confidentiality, integrity, and abuse risks traditional perimeter controls miss.

Prioritize

Focus risks: Data leakage via prompts; Tool misuse by agents; Unvetted third-party models

Act

Inventory AI use cases and data classes → Deploy LLM gateway policies → Red-team top workflows

Assure

FFAI enforces session risk scoring; CyberShield surfaces Shadow AI and risky integrations.

Communicate

Share progress via Infographic using message: The New Attack Surface: AI, LLMs & AI Agents

Key messages (org-wide)

The New Attack Surface: AI, LLMs & AI Agents
AI expands the attack surface
Pillar: Understand the Threat — Understand the threat before you can defend against it.
FFAI enforces session risk scoring; CyberShield surfaces Shadow AI and risky integrations.

Audience tracks

Executives & board

Executives should treat "AI Security" as a material business conversation, not an IT update. LLMs, copilots, and agents ingest data, call tools, and act on prompts—each layer introduces confidentiality, integrity, and abuse risks traditional perimeter controls miss.

• Confirm "AI expands the attack surface" is reflected in the enterprise risk register or AI governance forum.
• Ask for one metric (posture, phishing, MTTR, or control efficacy) tied to today’s theme.
• Ensure legal/communications are aligned before any customer or regulator-facing statements.

Security & IT

SecOps and engineering own technical execution for AI Security within pillar "Understand the Threat".

• Inventory AI use cases and data classes
• Deploy LLM gateway policies
• Red-team top workflows
• Validate tooling coverage for risks: Data leakage via prompts
• Document findings in the ticket system with owner and due date within 5 business days.

GRC, privacy & risk

GRC and privacy teams map today’s theme to controls, evidence, and regulatory narratives (including DPDP where personal data is involved).

• Map theme to control framework clauses (ISO 27001 / 42001 / internal policies).
• Identify evidence gaps auditors would ask for if assessed today.
• Schedule connector or test automation where controls are manual spreadsheets.

All employees

Every employee has a role in ai security—especially reporting suspicious activity and using only approved AI tools.

• Read the 2-minute daily briefing on the campaign hub.
• Complete any team micro-learning or phishing simulation tied to this week.
• Report anomalies early—early reporting reduces incident cost more than perfect passwords alone.

Learning objectives

Describe why "AI Security" is a business risk, not only a technical issue.
List top risks: Data leakage via prompts; Tool misuse by agents; Unvetted third-party models.
Execute action: Inventory AI use cases and data classes
Connect outcomes to continuous assurance and GRC evidence.

Metrics & success criteria

Metric	Target	Rationale
New surface	Prompt + tools	Inventory AI use cases and data classes
Control	LLM firewall	Deploy LLM gateway policies
Assurance	Red team	Red-team top workflows

Frameworks & discussion

Frameworks & standards

NIST Cybersecurity Framework (Identify & Protect)
ISO/IEC 27001 — risk-based ISMS
CIS Critical Security Controls v8

Workshop discussion prompts

“How would an attacker abuse our weakest link related to AI Security?”
“What evidence would we show an auditor about "AI expands the attack surface" today?”
“Which tool or process fails if Tool misuse by agents?”
“What changes in November if we complete all three actions this week?”

Maturity journey

Aware

Staff can explain "AI Security" in plain language.

Aligned

Owners mapped across security, GRC, and business units.

Acting

Actions 3 scheduled with due dates.

Assuring

Results reflected in posture / validation dashboards.

Communications pack

Email subject

CyberSecurity Month 2026 · Day 3: AI Security

Email body

Colleagues,

Today’s theme is "AI Security" (Oct 3).

LLMs, copilots, and agents ingest data, call tools, and act on prompts—each layer introduces confidentiality, integrity, and abuse risks traditional perimeter controls miss.

Your actions today:
1. Inventory AI use cases and data classes
2. Deploy LLM gateway policies
3. Red-team top workflows

Open the full briefing: defenailabs.com/campaigns/cybersecurity-month-2026/day/3

— Security & GRC

LinkedIn / social

🤖 Day 3 — AI Security The New Attack Surface: AI, LLMs & AI Agents #CyberSecurityMonth2026 #DefenAiLabs #AISecurity

Town hall slide

AI Security: AI expands the attack surface · Inventory AI use cases and data classes

Continuous assurance (technology)

FFAI enforces session risk scoring; CyberShield surfaces Shadow AI and risky integrations.

DefenAi Labs — platforms

FFAI enforces session risk scoring; CyberShield surfaces Shadow AI and risky integrations.

FFAI LLM Firewall CyberShield CPA · CVA