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Cybersecurity risk and governance advisory · June 2026

Strategic
cybersecurity.
Trusted impact.

TeraType helps executive teams understand what is happening, make decisions with confidence, and build programs that hold up under scrutiny.

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Evidence discipline
Controls auditors accept on first review
Integration rigor
Scoped access and monitored data paths
Decision rhythm
Consistent cadence for risk acceptance
Operational signal
Telemetry that supports real investigations

Signals we track — June 2026

8 weeks to EU AI Act enforcement
Agentic AI lateral movement
Critical
LLM jailbreak commoditization
Critical
Cross-tenant inference leakage
High
EU AI Act documentation gap
Critical
Zero-day weaponization speed
High
ISO 27001 lapsed transitions
Moderate
8 wks
EU AI Act enforcement
4.5 hrs
Zero-day to working exploit
Agentic AI incidents Q2 2026
14
Dark web LLM jailbreak markets
June 2026 threat landscape

Three things that changed

These are patterns from incident reports, regulatory filings, and adversary intelligence.

AI agents are the new attack surface

Agents call APIs, write files, and chain decisions across systems. Every permission granted to an agent is a capability an attacker can reach. Compromised orchestrators are the fastest-growing incident category in Q2 2026.

Governance is now binding

August 2 is 8 weeks away. The EU AI Act moves from guidance to enforcement. Organizations without Article 11 documentation, Article 14 oversight, and Article 72 monitoring face immediate exposure.

Weaponization timelines collapsed

Median time from zero-day disclosure to active exploit: 4.5 hours. Patch-first response is no longer viable. Detection and isolation are the only effective strategy.

Q2 2026 incident category index

Composite public intelligence
Agentic AI compromise — 38 Credential / NHI abuse — 29 Data exfiltration — 24 Supply chain — 19
Q2 2026 incident index.
Executive intelligence

Briefings for boards and leadership

Written to inform. June 2026 edition.

AI security June 2026
Agentic lateral movement: compromised orchestrators reach production systems

Mandiant Q2 2026 reports a tripling of incidents where attackers compromise AI orchestration layers and use agent permissions to traverse cloud environments and databases without triggering standard identity alerts.

Why it matters. A compromised orchestrator holds keys to every downstream system it can reach. There are no login alerts. Only API calls that look like normal automation.
Act. Apply just-in-time access for all agent service identities. Log every agent-to-agent call, tool invocation, and external API request.
Ask your team. Which agents hold standing access to production systems? What happens when an orchestrator is compromised?
AI security June 2026
LLM jailbreak kits available on 14 dark web markets for under $200

Ready-made kits include bypass payloads for system prompt extraction, safety guardrail circumvention, and data exfiltration. Updates ship within 48 hours of guardrail patches. The skill barrier for attacking AI systems is now effectively zero.

Why it matters. Any attacker with $200 and a target organization's AI deployment can attempt system prompt extraction or policy bypass. The cost of an AI-targeted attack now matches commodity phishing.
Act. Treat AI system prompts as credentials. Rotate them, monitor them, vault them. Build multi-layer guardrails that do not rely on a single system prompt instruction.
Ask your team. Are AI system prompts treated as credentials? What controls exist beyond the system prompt itself?
Regulation June 2026
EU AI Act enforcement is 8 weeks away. Most high-risk systems are not ready.

Most high-risk AI deployments still lack complete Article 11 technical documentation, tested Article 14 oversight mechanisms, and operational Article 72 post-market monitoring. Regulators will ask for evidence of operation, not just design.

Article 11 requires a technical file covering intended purpose, design logic, risk management, training data governance, test results, performance metrics, and change history. It must be current as of deployment date.
Act. Prioritize systems in hiring, credit, healthcare, and law enforcement. Establish a dated evidence log for every deployment decision.
Ask your team. Which systems are classified high-risk under Annex III? Who owns each system's compliance status on August 2?
Identity June 2026
Cross-tenant AI inference leakage: shared infrastructure creates data isolation failures

Multiple cloud AI inference providers reported cross-tenant data exposure in Q2 2026. Prompt and response content from one tenant appeared in another due to caching and batching optimizations. Sensitive business data and PII were among the exposed content.

Why it matters. Data isolation guarantees for storage and compute do not automatically extend to inference layers. Most enterprise AI runs on shared infrastructure optimized for throughput.
Act. Request specific contractual commitments about prompt handling and caching from inference providers. Audit what data categories are sent to shared endpoints.
Ask your team. Are inference providers contractually committed to data isolation? Does any AI processing involve personal data without a DPA covering inference?
Hygiene June 2026
4.5-hour exploit window: detection and isolation are the only viable response

Google Threat Intelligence records a median of 4.5 hours from zero-day disclosure to working exploit. A CVE published at 9am may see active exploitation by 1:30pm the same day. Patch-first response strategies are obsolete for critical vulnerabilities.

Act. Shift prioritization to isolation readiness. For critical CVEs the first question is whether the system can be isolated within 30 minutes. That should be a pre-approved action, not a decision requiring approval chains.
Act. Invest in behavioral detection. Process anomalies and unexpected outbound connections fire before signature updates exist.
Ask your team. How long does it take to isolate a critical internet-facing system? Have isolation runbooks been tested in the last 90 days?
Governance June 2026
NIST CSF 2.0 Govern function: now required for federal AI. Commercial expectations will follow.

NIST CSF 2.0's Govern function covers organizational context, risk strategy, roles, policy, and oversight. It is now required for federal agencies deploying AI. Federal mandates routinely become commercial standards within 12 to 24 months.

Why it matters. The Govern function defines what good governance looks like. Regulators, auditors, and counterparties will increasingly apply it to commercial organizations.
Act. Map current governance activities to the Govern function's six categories. Formalize risk appetite statements at board level.
Ask your team. Does a board-approved risk appetite statement exist for cybersecurity and AI? How are governance roles formally assigned and reviewed?
What we do

Focused work for complex environments

Evidence that travels. Programs that hold.

Executive vCISO and governance

Board-ready
  • Risk reporting with clear narratives boards can act on
  • Policies and control frameworks aligned to operations
  • ISMS and PIMS build-out, internal audit, and certification support
  • M&A diligence for security, privacy, and AI programs

Assurance and compliance

Evidence
  • ISO 27001, 27017, 27018, and ISO 27701:2025 transition planning
  • SOC 2 readiness with continuous evidence and control ownership
  • PCI DSS 4.0 scope, segmentation, and Report on Compliance
  • HIPAA safeguards plus DPAs and BAAs aligned with practice

Threat, detection, and response

Operational
  • Curated detections and noise suppression across cloud and endpoint
  • Red teaming, purple teaming, and incident response playbooks
  • Post-incident reviews with owners and due dates that stick
  • Exercises that include executive decision-making
AI governance

Operational AI that stands up to review

Built for August 2, 2026.

Framework

ISO/IEC 42001 AI Management System

Defines scope, roles, lifecycle controls, and continuous improvement for AI systems at the organizational level.

Operating model Risk register Internal audit
Inventory and classification
Every AI system named, risk-tiered, and owner-assigned before production
EU AI Act Art. 6 · ISO 42001 §8
Intake gates
Test criteria, rollback rules, and change control for models and prompts
ISO 42001 §8.4 · NIST AI RMF
Post-market monitoring
Defined signals, drift detection, and an incident path in operations
EU AI Act Art. 72 · ISO 42001 §9
Human oversight
Oversight mechanisms including automation-bias controls
EU AI Act Art. 14 · ISO 42001 §6
Technical documentation
Conformity files that regulators will actually accept
EU AI Act Art. 11-13 · GPAI
Third-party due diligence
Procurement controls for models, datasets, and AI-enabled SaaS
ISO 42001 §8.6 · NIS2
Assurance frameworks

Compliance in one view

Evidence that withstands scrutiny

Traceable
  • Policies and standards linked to named controls and owners
  • Architectures and data flows that travel to auditors
  • Key management and rotation logs with verifiable timestamps

Cloud and SaaS assurance

Vendor risk
  • CSA CAIQ domains mapped to real control owners
  • Vendor risk, privacy, and AI obligations in one review cycle
  • Exit, return, and erase provisions tested not just documented

ISO 14001 and ESG

Supplier proof
  • Environmental and social metrics aligned with governance
  • Supplier expectations embedded in contracts and due diligence
  • Evidence for sustainability claims backed by verifiable data
Cloud security

Patterns across all four major platforms

Amazon Web Services Microsoft Azure Google Cloud Platform Oracle Cloud Infrastructure

Identity

  • Least privilege baselines including machine identities
  • Conditional access and time-bound elevation
  • Non-human identity governance

Network

  • Egress control and deep packet inspection
  • Microsegmentation and service identity
  • Private connectivity safeguards

Data

  • Centrally managed encryption keys
  • Field-level protection and tokenization
  • Immutable backups with verified restore

Observability

  • Risk-focused rules and alert suppression
  • Optimized collection balancing cost and signal
  • Automated playbooks with human oversight gates
Executive reporting

Board reporting without noise

"Executive teams deserve reporting they can actually use. Not dashboards that describe activity without clarifying risk. Not compliance summaries that pass on paper while failing in practice."

TeraType

Risk and control health

  • Top risks with trend direction and accountable owners
  • Gap heatmaps that stay current
  • Exception discipline with dates

Compliance at a glance

  • ISO 27001, ISO 27701:2025, SOC 2, PCI DSS, HIPAA, ISO 42001
  • Evidence freshness and audit calendar
  • Change radar: EU AI Act, DORA, NIS2, SEC, CPPA

Cost and value

  • Spend aligned to risk reduction outcomes
  • Prioritization balancing control effectiveness and velocity
  • Tradeoffs documented and revisited at defined intervals
Contact

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+421 233056 377

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