Detect influence operationsbefore they reach the audience.Counter them with discipline, not panic.
The Sovereignty Infinium's Disinformation & Influence Operations capability detects, attributes, and counters hostile information operations. It tracks 25 disinformation techniques, 18 propaganda techniques, 29 counter-measures, and a 5-phase response playbook. It identifies bot networks and coordinated inauthentic behavior across 47+ platforms, detects deepfakes in image, video, and audio, and executes counter-narrative operations with measurable impact.
25 DISINFO TECHNIQUES
47+ PLATFORMS · 17+ LANGUAGES
5-PHASE RESPONSE
DEEPFAKE (IMG / VID / AUDIO)
6-LEVEL ESCALATION
Influence operations are no longer a side-effect.
They are the primary instrument.
State and non-state actors weaponize information at machine speed, across languages, across platforms, and across the synthetic-media frontier. The cost of detection lag is measured in share of mind, in policy reversals, in electoral outcomes, in the credibility of institutions.
Speed asymmetry.
A state-tolerated actor can launch a coordinated inauthentic behavior (CIB) network of 200 accounts, on 6 platforms, in 9 languages, in an afternoon. Conventional fact-checking responds in 24–72 hours. The narrative has already seeded.
Detection at the wrong altitude.
Most counter-disinformation tools are tuned to content — keyword detection, sentiment analysis, fact-check. But modern influence operations are tuned to coordination — accounts that look human individually, behave inauthentically as a cluster. Content-based tools miss the cluster. The platform sees the cluster.
Synthetic media collapse.
Cheapfakes, deepfakes, AI-generated text and image, synthetic voice. The cost of producing synthetic media has fallen by orders of magnitude. The cost of detecting it has not. The asymmetry favors the adversary.
Response chaos.
Even when an operation is detected, the response is fragmented. Communications teams respond on one platform. Diplomatic teams protest. Legal teams prepare. Each works in isolation. The operation exploits the seams.
“The first 90 minutes decide the narrative. After that, you are not shaping the story — you are chasing it.”
The cost of these gaps is operational, not theoretical. A 6-week lead on detecting a pre-staged CIB network is the difference between an inoculation campaign and a crisis response. A 4-hour lead on a deepfake audio release is the difference between controlling the cycle and being defined by it.
A fusion capability —
not a fact-checker, not a media monitor.
Disinformation & Influence Operations is the Sovereignty Infinium capability that detects, attributes, characterizes, and counters hostile information operations. It operates across the full campaign lifecycle: pre-launch reconnaissance, launch, propagation, mutation, convergence, saturation, decay.
25 disinfo techniques tracked
Fabricated content, manipulated content, misattributed, misleading (decontextualized), false connection, false context, satire/parody, imposter source, manipulated image, manipulated video (cheapfake + deepfake), AI-generated text/image/video, synthetic voice, conspiracy theory, discrediting source, inauthentic behavior, coordinated inauthentic behavior, astroturfing, false balance, half-truth, cherry-picked data, slanted framing, foreign interference.
18 propaganda techniques tracked
Bandwagon · Card Stacking · Glittering Generalities · Plain Folks · Testimonial · Transfer · Name-Calling · False Dilemma · Ad Hominem · Ad Populum · Appeal to Authority (illegitimate) · Appeal to Emotion · Appeal to Fear · Appeal to Pity · Hasty Generalization · Post Hoc Ergo Propter Hoc · Red Herring · Straw Man.
29 counter-measures catalogued
Pre-bunk (inoculation) · Debunk · Counter-narrative · Media literacy campaign · Platform takedown · Legal action · Diplomatic protest · Sanctions designation · Account suspension · Network takedown · Visibility reduction · Surge authentic content · Influencer engagement · Journalist engagement · Civil society engagement · International coordination · Capacity building · Public alert · Targeted demobilization · Source exposure · Honeypot/deception · Cyber counter-operations · Sanctions evasion attribution · Diplomatic isolation · Coalition building · Strategic communication offensive · Long-term trust building · Resilience investment · Continuous monitoring.
5-phase response playbook
Detect & Identify → Verify → Analyze → Respond → Evaluate. Each phase has a defined human gate, a confidence threshold, and a measurable output.
6-level response escalation
Monitor (continuous) → Engage (<1h SLA) → Counter (<4h SLA) → Escalate (<8h SLA) → Sustain (days) → Strategic (weeks+). The SLA is the response tempo, not the analytical horizon.
Bot/CIB detection — 12-signal ensemble
Account age · Posting cadence · Content similarity · Profile similarity · Network topology · Engagement pattern · Linguistic fingerprint · Behavioral fingerprint · Temporal sync · Cross-platform · Hashtag hijack · Reply targeting · Infrastructure.
Deepfake detection (image, video, audio)
Pixel-level artifacts · Frequency-domain anomalies · GAN-fingerprint · Diffusion-fingerprint · Metadata · Cross-reference · Reverse image · Multi-modal consistency · Ensemble. Three modalities, one confidence score per asset.
Narrative & frame analysis
24 narrative types · 18 frame types · Narrative lifecycle tracking · Mutation detection · Convergence detection. The substrate for counter-narrative selection and timing.
Campaign Anatomy Model
Seven phases, one timeline.
Continuous, not sequential — overlap and feedback are explicit
PHASE 01
Pre-launch
PHASE 02
Launch
PHASE 03
Propagation
PHASE 04
Mutation
PHASE 05
Convergence
PHASE 06
Saturation
PHASE 07
Decay
A six-stage continuous loop.
Detection to evaluation, with feedback from later stages refining earlier ones. Feedback is not a metaphor; it is wired into the indicator library.
Pre-launch & launch detection
Continuous monitoring of fringe and adjacent platforms for asset-creation patterns: account clusters with similar bios, similar registration timing, similar infrastructure, similar linguistic fingerprint. Network analysis on emerging clusters. Pre-launch signal carries no operational effect but carries high predictive value: at-launch, the cluster is already mapped.
Multi-signal verification
Once anomalous activity is detected, the platform runs verification: cross-source corroboration, fact-checker integration, provenance chain validation, confidence scoring on the Sherman Kent scale, HUMINT validation (where lawful and available). A disinformation finding is not acted upon until verification closes.
Network & narrative analysis
Social network analysis on the cluster (10+ graph metrics). Audience demographic mapping. Bot/CIB analysis (12-signal ensemble, behavior class output: CIB, astroturf, single-issue, financial-scam, partisan). Narrative classification (24 types). Frame classification (18 types). Narrative convergence detection (when multiple narratives merge). Geopolitical context binding.
Attribution
The platform maps the operation to a threat-actor class using the 10 attribution methods from Capability 5: TTP matching, linguistic markers, infrastructure, timing correlation, ideological alignment, past victimology, and the multi-signal ensemble. Confidence: High / Medium / Low per Sherman Kent. Attribution is documented, auditable, and revisable.
Response
The 5-phase playbook selects a counter-measure (or a combination) from the 29-item catalogue. Counter-narrative drafting is grounded in the client's positioning, the audience's inoculation state, and the operational tempo. Channel selection is informed by where the operation is propagating. Stakeholder coordination is multi-channel: communications, legal, diplomatic, technical.
Evaluation & feedback
Reach, velocity, and impact measurement. Sentiment shift. Counter-narrative efficacy. Lessons learned. Indicator update. The output feeds back into the next detection cycle: the system that enters the next operation is more calibrated than the one that entered the last.
Operationally usable output.
Across the campaign lifecycle.
Disinformation & Influence Operations delivers products designed for action — alerts, briefs, playbooks, evaluations, and stakeholder packages.
Pre-launch CIB Alert
Emerging cluster detected · network analysis · predicted launch window.
Operational-phase Campaign Brief
Active operation · network map · narrative classification · attribution confidence · recommended response.
Deepfake Detection Report
Per-asset (image, video, audio) with confidence, artifact catalog, attribution class.
Counter-Narrative Pack
3–5 candidate counter-narratives with audience-fit scoring, channel recommendation, effectiveness estimate.
Inoculation Brief (CM-01)
Pre-bunk messaging for the next wave, with audience targeting and channel mix.
Daily Disinfo Brief
Campaign activity roll-up, sector- and region-filtered. 5 pages, SECRET-equivalent.
Weekly Influence Landscape
Trend, narrative lifecycle, attribution trajectory across the indicator set.
Post-Operation Evaluation
Reach, velocity, impact, counter-effectiveness, lessons learned. Closes the loop.
Stakeholder Coordination Brief
Multi-stakeholder package: communications, legal, diplomatic, technical.
Crisis Disinfo Playbook Activation
For the 6 canonical crisis scenarios (see Crisis Intelligence).
Key Performance Indicators
12 auditable targets.
Real-time · hourly · daily · weekly · per-campaign
4–6 weeks
Pre-launch lead time
Per cluster signal — for CIB networks
≥95%
Deepfake (image)
Benchmark corpora · per-model reporting
≥90%
Deepfake (video)
Benchmark corpora · per-model reporting
≥88%
Deepfake (audio)
Benchmark corpora · per-model reporting
≥92%
Bot/CIB precision
Per-deployment calibration · steady state
≥85%
Bot/CIB recall
Per-deployment calibration · labeled corpora
≥40%
Counter-narrative effectiveness
Reach reduction vs. counterfactual
≥30%
Inoculation effectiveness
Pre-bunk target audience susceptibility
<1h
Engage SLA
Per escalation level 2
<4h
Counter SLA
Per escalation level 3
<8h
Escalate SLA
Per escalation level 4
≥88%
Narrative classification accuracy
Labeled test set · 24 types · per-language
Three operations.
Three altitudes.
Pre-launch inoculation. Operational-phase deepfake detection. Strategic-level coalition posture. The capability scales from a 6-week lead to a 14-day coalition — same platform, different altitude.
CIB Network Detected 6 Weeks Before Peak Amplification
Situation
A state-tolerated actor was preparing to amplify a narrative targeting a sovereign client's economic credibility. The narrative was scheduled to peak during a multilateral summit. The client's communications team had no advance warning.
Challenge
Pre-launch activity produces no operational signal — no reach, no engagement, no measurable effect. The reconnaissance phase is invisible to conventional monitoring.
Approach
- 1Platform's asset-creation detector identified a 14-account cluster with shared infrastructure (same hosting, similar registration timing, overlapping language-fingerprint patterns).
- 2Network analysis identified hub-spoke topology consistent with the actor's known tradecraft.
- 3The campaign-anatomy model classified the activity as pre-launch.
- 4The counter-narrative playbook engine generated 3 candidate pre-bunk options.
Outcome
The client was notified 6 weeks before operational launch. Pre-bunk (CM-01) was deployed across 9 languages, with audience-fit scoring targeting the most susceptible demographics. At operational launch, the targeted audience was already inoculated. Peak reach was limited to a fraction of projected baseline. The summit proceeded without the narrative dominating the cycle.
Lessons: Influence operations are most vulnerable before launch. Detection that focuses on operational-phase signal surrenders the lead time that makes inoculation possible. Pre-bunk is cheaper, faster, and more effective than debunk.
Deepfake Audio of a Senior Official Detected Within 2 Hours
Situation
A deepfake audio clip of a senior official at a sovereign client, allegedly authorizing a controversial policy reversal, was circulated on fringe platforms and began propagating to mainstream. The clip was high-quality, voice-similar, and included realistic background ambience.
Challenge
Deepfake audio detection is a harder problem than image. Voice-similarity models are available to adversaries. The window for effective response is 2–6 hours before mainstream pickup.
Approach
- 1Audio deepfake detector (vocoder artifact, prosody anomaly, background-noise mismatch, speaker characteristic consistency, phoneme-audio alignment) flagged the clip within 2 hours of first surface.
- 2Detection confidence: High. Provenance chain and HUMINT validation (where available) confirmed the clip was synthetic.
- 3Counter-narrative playbook selected: debunk (CM-02) + source exposure (CM-20) + public alert (CM-18).
Outcome
The debunk was issued 3.5 hours after first surface, before mainstream propagation. The source-exposure report (CM-20) was filed with the platform's trust-and-safety team under controlled disclosure. Mainstream pickup was limited. The original clip's credibility collapsed within 24 hours. The client's official channel retained authority on the policy question.
Lessons: The first 90 minutes decide the narrative. Detection at hour 2, with a 1.5-hour response pipeline, is the difference between controlling the cycle and being defined by it. Source exposure (CM-20) is an underused but high-leverage counter-measure.
Cross-Border Narrative Escalation Detected, Coalition-Building Activated
Situation
A diplomatic incident between two regional powers was being amplified by an influence operation. The amplification was designed to escalate the incident from bilateral to multilateral — drawing in additional actors and foreclosing negotiation space.
Challenge
Cross-border narrative escalation is a strategic-level operation. The response posture is not a single counter-narrative; it is a multi-week diplomatic and communications posture. The platform's role is to inform the posture, not to dictate it.
Approach
- 1Identified the escalation pattern: narrative convergence, multi-language bridge, regional influencer pickup.
- 2Threat-actor dossier mapped the operation to a known state-tolerated actor.
- 36-level response escalation reached Level 5 (Sustain, days) and Level 6 (Strategic, weeks+).
- 4Counter-measures activated: CM-12, CM-13, CM-14, CM-15, CM-16, CM-25, CM-26, CM-27.
Outcome
The coalition was assembled within 14 days. The diplomatic posture shifted. The amplification's reach plateaued. The negotiation space was preserved. The strategic-level response was a multi-week posture, not a single counter-narrative.
Lessons: Strategic-level influence operations require strategic-level responses. The platform's role at this altitude is to inform the principal. The principal decides.
The cognitive-domain counterpart to
Threat Detection & Attribution.
Disinformation & Influence Operations operates on the same adversary graph, the same attribution framework, the same confidence scale. Together, they form the platform's cognitive-and-cyber threat picture.
Threat Detection & Attribution
Maps influence operations to threat-actor dossiers, providing the “who” behind the “what.” The 10 attribution methods are shared. The Sherman Kent confidence scale is shared. The MITRE ATT&CK mapping (extended for cognitive tactics) is shared.
Media Intelligence
Provides the cross-language, cross-platform visibility that detects the operational-phase signal. Sentiment (8 polarities × 48 subtypes), narrative classification (24 types), frame analysis (18 types), virality metrics — all from Media Intelligence.
Reputation & Perception
Tracks the impact of an operation on the client’s perception. Share of voice, narrative share, sentiment intensity, crisis impact, recovery tracking. The Reputation dashboard shows whether the operation achieved its effect.
Predictive Foresight
Operation lifecycle forecasting: when the current wave will peak, when the next wave will start, what narratives will converge. Narrative forecasting is one of the 11+ predictive model categories.
Geopolitical Foresight
Provides the strategic context for cross-border escalation. The platform’s role at the strategic altitude is to inform the principal; the principal decides.
AI & LLM Perception
Tracks how frontier AI systems reproduce, amplify, or contradict the operation’s narratives. Important for cross-platform propagation — including AI-mediated answers to journalists and regulators.
Command Center & War Room
Disinfo alerts route through the Command Center. The 5-phase playbook is executable in war-room scene presets. Multi-stakeholder coordination (communications, legal, diplomatic, technical) is war-room native.
The Pattern
Disinformation & Influence Operations is where the platform's cognitive-domain models meet its operational tempo.The fusion with Threat Detection & Attribution is what allows the platform to answer the question: who is doing this, and what do we do about it?
What the platform does not promise.
These limits are stated as a matter of method. Confidence is reported; it is not concealed. The discipline of the disclosure is the discipline of the capability.
Causal attribution is harder than content classification.
Classifying a piece of content as “disinformation” is a tractable ML problem. Attributing it to a state-tolerated actor is a judgment. The platform documents the chain; it does not promise certainty.
Counter-narrative effectiveness varies by audience.
The platform measures reach, velocity, sentiment shift, and counterfactual reach. It does not measure belief change directly. Belief change is inferred from a multi-signal ensemble over time.
Pre-bunking requires the lead time.
If the operation is already at saturation, pre-bunk is no longer the right counter-measure. The platform’s playbook is scenario-aware. So is the SLA.
Some capabilities are subject to national export controls.
Counter-narrative playbook engines, attribution frameworks, and certain counter-measures may be subject to export-control regimes. We do not deploy restricted capabilities to non-eligible jurisdictions.
Synthetic media detection is an arms race.
The platform’s detection models are continuously retrained. New generation methods produce new artifacts. Detection is a probability, not a binary. Confidence is reported; it is not concealed.
Operations adapt.
A detected and countered operation does not disappear; it mutates. The platform’s campaign-anatomy model accounts for mutation. The next operation looks different from the last. Continuous validation is the response; it is not a guarantee.
The platform does not publish.
Counter-narratives are drafted; the client decides. The platform does not auto-deploy. The platform does not assume the role of the client’s communications function.
The principle of disclosure. Every counter-narrative draft comes with a confidence statement, a counterfactual, and a revision path. The next operation looks different from the last. The system that enters it is more calibrated than the one that entered this one.
See the 5-phase playbook
in action.
A 60-minute confidential briefing. We walk through an anonymized operation — from pre-launch signal to counter-narrative deployment — and show the platform's products, the human decisions at each gate, and the measured outcomes. We will not pitch. We will not publish.
- Response within 1 business day
- Mutual NDA · no obligation
- Under your security protocols
Or write to briefing@sovereignty.co.in
What You Will See
A live walk-through, in your sector, in your languages.
- 1
00–10 min
Problem framing
Your hardest information-environment problem. We frame it back to you.
- 2
10–25 min
5-phase walk-through
An anonymized operation, from pre-launch signal to counter-narrative deployment.
- 3
25–45 min
Live product demo
Network graph · narrative timeline · deepfake detection · counter-narrative options.
- 4
45–60 min
Q&A and next steps
Confidential discussion. No obligation. We do not publish.