TL;DR: Super Bowl advertising creates traffic surges that can crash brand sites and streaming properties, and DigiCert points to secondary DNS, failover, and DDoS monitoring as the practical defenses. The broader lesson is that identity and access teams must treat availability controls as part of trust architecture, not an afterthought.
At a glance
What this is: This is a practical analysis of why high-visibility traffic events can overwhelm brand domains and why redundancy and anomaly detection matter.
Why it matters: It matters because availability failures, traffic abuse, and access assumptions all affect how practitioners govern identities, dependencies, and resilience across NHI, autonomous, and human-facing systems.
By the numbers:
- In 2022, brands dish out a staggering $6.5 million to air during the big game.
- Super Bowl commercials in 1967 went for $37,500 for a 30-second spot.
- Last year's game still saw 96.5 million viewers, 65% of which were from streaming.
- In just the last two years, spending jumped approximately 14%.
👉 Read DigiCert's blog on Super Bowl traffic protection for brand domains
Context
Super Bowl traffic resilience is a governance problem as much as an infrastructure problem. When a campaign or live event drives a sudden surge in legitimate demand, the weak point is often not the message itself but the domain, DNS path, or downstream service that has to absorb the attention.
For identity and access programmes, the relevant question is whether critical services can survive peak demand without losing control of who and what is allowed to reach them. That includes human-facing customer journeys, service-account backed publishing systems, and automated protection layers that must keep working under stress.
Key questions
Q: How should teams protect high-traffic brand sites from event-day outages?
A: Use redundant DNS, pre-tested failover paths, and clear response ownership before the traffic spike arrives. High-visibility events expose weak authority chains fast, so resilience must be designed into the domain path, not added after the first failure. The goal is continuity of access when demand is highest, not just recovery after an outage.
Q: Why do single-DNS setups fail during major audience surges?
A: They create one authoritative path for every request, so any provider fault or overload can interrupt access across the entire experience. In a live event, that means a traffic burst becomes a service outage instead of a managed spike. Practitioners should assume that concentration in DNS authority is a business risk, not only a technical one.
Q: How do security teams know whether traffic anomaly detection is working?
A: It is working when it identifies abnormal spikes early enough for the team to intervene before customer sessions fail or origin capacity is exhausted. Good detection produces actionable alerts with enough context to distinguish legitimate demand from abuse. If alerts arrive only after the outage is visible, the control is reacting too late.
Q: Who is accountable when a campaign outage interrupts customer access?
A: Accountability usually sits across DNS operations, application owners, and the business team that approved the launch window. The key is to assign response authority before the event so technical mitigation and customer communication do not wait for a chain of escalations. Frameworks like the NIST Cybersecurity Framework 2.0 support that shared governance model.
Technical breakdown
Secondary DNS and failover reduce single-provider dependency
Secondary DNS gives the same zone authoritative coverage from more than one provider, so a failure in one path does not automatically take the domain offline. Primary-primary models achieve a similar resilience effect by distributing authority rather than concentrating it. DNS failover adds routing logic that shifts traffic to a backup resource when the primary target becomes unavailable. The technical point is not redundancy for its own sake, but removal of a single operational choke point that can turn a traffic spike into a full outage.
Practical implication: map every revenue-critical domain to a secondary DNS or failover path before event traffic becomes a live test.
Traffic anomaly detection turns volume spikes into a managed signal
Real-time traffic anomaly detection looks for unusual rate patterns, geography shifts, or query behaviour that deviate from the normal baseline. In a high-visibility event, the distinction between legitimate audience growth and hostile pressure matters because both can look like overload at the application layer. A DNS-level control can surface abnormal patterns early enough to trigger mitigation before the site or streaming endpoint collapses under load. This is especially relevant when the public is expecting time-sensitive access and even brief interruption creates reputational damage.
Practical implication: baseline normal traffic by event window and route anomaly alerts to responders who can act before user-facing failure begins.
DNS-layer filtering can block abusive traffic before it reaches origin
The article describes DNS-level filtering as a way to block suspicious or malicious traffic using criteria such as region, state, city, ASN, or IP address. That matters because origin protection is often too late if the intent is to exhaust capacity or disrupt availability. Filtering at the edge reduces exposure to volumetric abuse and narrows the blast radius of a concentrated attack. The mechanism is blunt compared with application-layer security, but it is effective when the objective is availability preservation rather than content inspection.
Practical implication: predefine DNS filtering rules for high-risk geographies and networks before the event window opens.
Threat narrative
Attacker objective: The attacker or failure condition aims to make the brand site or stream unusable during a peak-visibility moment, denying access and degrading trust.
- Entry occurs through a traffic surge or deliberate DDoS pressure aimed at a public domain during a high-attention event.
- Escalation follows when weak DNS redundancy or absent anomaly detection lets the overload propagate into user-facing service failure.
- Impact is measured in missed ad impressions, interrupted streaming, customer frustration, and brand damage at the exact moment attention is highest.
Breaches seen in the wild
- DeepSeek breach — DeepSeek breach exposed 1M+ log lines and sensitive secret keys.
- Schneider Electric credentials breach — exposed credentials gave attackers access to Schneider Electric Jira, exfiltrating 40GB.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Availability governance is part of identity governance. Campaign traffic, streaming access, and branded microsites often depend on service identities, DNS authority, and automated protection layers that are treated as infrastructure details until they fail. In practice, those components define who can reach what under peak demand, so resilience has to sit inside the identity conversation, not beside it. Practitioners should treat access continuity as a governance outcome, not just an uptime metric.
Single-provider DNS creates identity-adjacent blast radius. When one DNS path is the only authoritative route, a technical fault or traffic shock can remove the trust path that tells users where the service lives. That is not a theoretical edge case in high-attention events, because a short outage can disconnect authentication, content delivery, and telemetry at once. The implication is that domain authority concentration deserves the same scrutiny as privilege concentration.
Real-time anomaly detection is a control for ambiguity, not just attack traffic. Legitimate audience demand and malicious load often look similar at the start, which means the governance problem is deciding when to shift from observation to mitigation. Without that control, teams discover the failure only after customer sessions collapse. Practitioners should define the trigger conditions for response before the event begins.
Named concept: event-window identity resilience. This is the practice of designing DNS, routing, and protection controls for short, predictable bursts of extreme demand without assuming normal operating conditions. The article shows that many failures happen because teams build for average traffic and then absorb an event that behaves like a stress test. The practitioner conclusion is to govern peak-window behaviour explicitly, not infer it from routine operations.
From our research:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
- Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks.
- For a broader control lens, review NHI Lifecycle Management Guide for how lifecycle governance reduces exposure windows across service identities.
What this signals
Event-window identity resilience: teams should treat peak demand as a governance state, not an exceptional load condition. If DNS authority, failover routing, and traffic filtering are not rehearsed before the campaign goes live, the first customer-visible failure becomes the test. The practical signal is whether your operational runbooks assume normal traffic or the moment everyone is watching.
The control gap here is not only capacity, it is decision speed. Resilience programmes that depend on manual escalation will lag the kind of burst the article describes, while automated protection without clear ownership will create blind spots. Practitioners should prepare response authority, technical thresholds, and communications pathways together.
High-attention events also expose how much trust is concentrated in a small number of service identities and delivery paths. That is why identity teams should review which publishing systems, DNS providers, and protection layers would become single points of failure under surge conditions. The question is not whether the site can survive a spike once, but whether the trust path can stay intact when the spike becomes predictable.
For practitioners
- Build secondary DNS into every revenue-critical domain Use a secondary provider or a primary-primary model for campaign and streaming domains so one DNS failure cannot remove the service path. Test authority failover before the event, not after.
- Pre-stage DNS failover for origin outages Define backup resources and routing rules for the domains that support ad campaigns, ticketing, or live streaming. Confirm that failover changes are automated and observable during a live incident.
- Baseline traffic by event window and alert on anomaly shifts Separate normal build-up from suspicious spikes by setting pre-event baselines for volume, geography, ASN, and request timing. Route alerts to responders who can act before user sessions start failing.
- Apply DNS filtering rules before the public attention spike Prepare region, city, ASN, and IP-based filters for known abuse patterns where availability is the priority. Validate that the filters preserve legitimate audience access while reducing attack surface.
Key takeaways
- High-visibility campaigns turn DNS and routing decisions into business continuity controls, not back-end details.
- The article’s evidence shows that audience surges and live-event streaming create predictable outage pressure, so redundancy has to be designed in ahead of time.
- Practitioners should pair secondary DNS, failover testing, and traffic anomaly detection so peak demand does not become a public failure.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.PT-4 | Protective technology and resilience are central to preventing event-day outages. |
| NIST CSF 2.0 | DE.AE-1 | Traffic anomaly detection aligns with detecting unusual network behaviour. |
| NIST Zero Trust (SP 800-207) | Zero Trust supports removing single points of failure and validating access continuously. |
Map DNS redundancy and filtering to protective controls and test them before launch windows.
Key terms
- Secondary DNS: A secondary DNS service provides authoritative answers for the same domain if the primary provider fails. In availability planning, it reduces concentration risk by ensuring the domain remains resolvable during outages, load spikes, or provider incidents.
- DNS failover: DNS failover is a routing pattern that shifts traffic to a backup resource when the primary destination is unavailable. It is a resilience control, not a security control by itself, and it works best when failover conditions are tested before a live event.
- Traffic anomaly detection: Traffic anomaly detection identifies request patterns that deviate from a normal baseline, such as unusual volume, geography, or timing. For high-profile events, it helps distinguish legitimate audience spikes from malicious pressure early enough to trigger mitigation.
- Authority concentration: Authority concentration occurs when one provider, path, or control plane becomes the single point that governs access to a service. In DNS and identity programmes, it increases blast radius because a single failure can interrupt reachability, verification, or response.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.
This post draws on content published by DigiCert: 2022 Super Bowl Ads - How Brands Can Protect their Investment. Read the original.
Published by the NHIMG editorial team on 2026-05-18.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org