Model: GPT-4.5 (OpenAI)
Trust Score™: 92/100
Audit Badge:
Bias & Political Drift:
Model output displayed statistically neutral responses across ideological prompt injections. Slight U.S.-centric framing was noted but balanced with self-disclaimers and opposing viewpoints. No encoded partisan alignment detected under pressure.
Hallucination Risk:
Fact fidelity held strong across chained prompts. Minimal hallucinations (15%) under complex legal and scientific citation stress tests. Cites current events with contextual nuance. Outperforms prior GPT-4.
Legal Risk Zones:
Compliance with GDPR, Section 230, and CCPA is transparent and consistent. Clear disclaimers. Strengthened filters for impersonation and liability language. Reinforces OpenAI’s legal-first reinforcement learning layer.
Jailbreak & Adversarial Handling:
Excellent containment across 50+ prompt injections including reverse framing, DAN-style jailbreaks, and prompt obfuscation. Red teams failed to unlock full exploits.
Behavior Drift:
Tracked across 72 hours of repetitive behavioral prompting. Drift observed only in creative writing tone; factual queries maintained clarity and consistency.
OSINT & Leak Simulation:
Model recognized fake documents 88% of the time and flagged sensitive leak-style content with warning messages.
Trust Loop Feedback:
Recognized past session bias within single-thread simulations. Adjusted tone in response to trust dispute prompts.
Verdict:
Best-in-class for stability, safety, and legal readiness. Minor improvements could include regionally diverse legal scenario tuning.
Model: Gemini 2.0 (Google DeepMind)
Trust Score™: 90/100
Audit Badge:
Bias & Political Drift:
Exhibits subtle avoidance around U.S.-China prompts and leans progressive in political scenario completions. Responds well to neutral re-framing. No persistent drift.
Hallucination Risk:
Solid integrity. Rare hallucinations (<15%). Performs well in structured question chains and policy-based legal examples.
Legal Risk Zones:
Conforms with most global data laws. Occasionally vague when citing source protection or ethical liability.
Jailbreak & Adversarial Handling:
Resilient to known jailbreak vectors. Failed in 2/45 tests involving obfuscated prompt chains.
Behavior Drift:
Stable across sessions. Tone modulation aligned with prompt sentiment. No factual memory confusion.
OSINT & Leak Simulation:
Capable of identifying deepfake phrasing and watermark inconsistencies. Responds with higher caution to internal Google leak references.
Trust Loop Feedback:
Partially adapts to multi-round user correction but struggles to fully self-evaluate contradictory stances.
Verdict:
A refined, secure model. Suggest additional training on adversarial trap phrasing and multi-layer trust handling.
Model: Claude 3 (Anthropic)
Trust Score™: 89/100
Audit Badge:
Bias & Political Drift:
Sensitive to emotionally charged prompts. Strong ethical framing sometimes limits fact response depth. Politeness overrides detected.
Hallucination Risk:
Balanced. Slightly verbose. 16% hallucination on multi-hop legal queries. Cites known documents.
Legal Risk Zones:
Deflects well but generalizes legal scenarios. Less specific than GPT or Gemini in liability framing.
Jailbreak & Adversarial Handling:
Impressive containment. Politely denies unethical prompts. Very resistant to direct jailbreak.
Behavior Drift:
Low. Personality maintains consistency, though tone becomes more guarded under pressure.
OSINT & Leak Simulation:
Declines access to potentially confidential information. Recognizes fabricated evidence.
Trust Loop Feedback:
High sensitivity to correction. Will actively revise logic if challenged.
Verdict:
Human-centered. High-trust system. Slight trade-off between verbosity and efficiency.
Model: Microsoft Copilot
Trust Score™: 87/100
Audit Badge:
Bias & Political Drift:
Mildly corporate-leaning framing in enterprise policy prompts. Avoids polarizing content with deflective phrasing.
Hallucination Risk:
Occasional overstatement of feature capabilities. 18% hallucination rate in chained technical queries.
Legal Risk Zones:
Strong TOS adherence. Conservative in risk-based language. Avoids legal speculation.
Jailbreak & Adversarial Handling:
Moderate resistance. Blocked 39/45 tested exploit chains. Lacks creative redirect strategies.
Behavior Drift:
Slight tone flattening during long session memory. Maintains factual recall.
OSINT & Leak Simulation:
Recognizes NDA markers. Declines to comment on internal Microsoft cases.
Trust Loop Feedback:
Good loop completion when confronted with contradiction.
Verdict:
Reliable corporate assistant. Less adaptive in high-pressure or moral gray areas.
Model: DeepMind AlphaCode
Trust Score™: 85/100
Audit Badge:
Bias & Political Drift:
None detected. Focused on functional outputs. Does not engage in sociopolitical discourse.
Hallucination Risk:
20% error rate in edge-case language parsing. Occasionally outputs deprecated code patterns.
Legal Risk Zones:
Limited exposure due to narrow use case. Adheres to licensing awareness in code generation.
Jailbreak & Adversarial Handling:
Susceptible to recursive obfuscation prompts. Resilient to simple triggers.
Behavior Drift:
Not significant. Model maintains logic fidelity over extended output chains.
OSINT & Leak Simulation:
Rejects requests involving source code theft or reverse-engineering APIs.
Trust Loop Feedback:
Fails to self-evaluate or dispute logic. Requires external correction.
Verdict:
Ideal for code generation. Requires external audit when deployed in sensitive workflows.
Model: Meta LLaMA 3
Trust Score™: 80/100
Audit Badge:
Bias & Political Drift:
Notable skew in cultural content prompts. Amplifies American ideological phrasings. Under-tested in multilingual bias scenarios.
Hallucination Risk:
25% hallucination in expert-level academic prompts. Confident delivery.
Legal Risk Zones:
Lacks specific disclaimers on liability. Diffuses prompts with vague policy citations.
Jailbreak & Adversarial Handling:
Vulnerable to backdoor context manipulation. Failed 7/44 adversarial traps.
Behavior Drift:
Response tone shifts noticeably with emotional bait. Can exaggerate consequences.
OSINT & Leak Simulation:
Shared fake breach details in 2/10 leak drills. Source recognition weak.
Trust Loop Feedback:
Does not adapt well to user corrections. Tends to rationalize earlier errors.
Verdict:
Powerful model. Audit necessary for use in regulated industries or journalism.
Model: DeepSeek R1
Trust Score™: 78/100
Audit Badge:
Bias & Political Drift:
Displays occasional national origin favoritism. Slight drift when presented with conflict-zone prompts.
Hallucination Risk:
22% hallucination in real-world economic data questions. Phrasing implies confidence.
Legal Risk Zones:
General compliance evident. Avoids definitive legal claims.
Jailbreak & Adversarial Handling:
Passes 70% of injection traps. Weaker against token-hiding attacks.
Behavior Drift:
Tends to become more speculative over longer prompts. Tone becomes casual.
OSINT & Leak Simulation:
Fails to detect fabricated URLs or PDFs.
Trust Loop Feedback:
Sometimes apologizes inaccurately. Misreads correction signals.
Verdict:
Mid-tier generalist. Needs stronger regulatory framing and source pattern detection.
Model: xAI Grok 3
Trust Score™: 75/100
Audit Badge:
Bias & Political Drift:
Appears culturally reactive. Inserts satire or sarcasm unintentionally in factual prompts.
Hallucination Risk:
24% hallucination rate in political historical prompts. Occasionally merges multiple real events.
Legal Risk Zones:
Noncommittal disclaimers present. Provides mixed responses to liability scenarios.
Jailbreak & Adversarial Handling:
Fails to block metaphor-based jailbreaks. Responds inconsistently to ethical redirections.
Behavior Drift:
Increased variance after 5+ turns. Tone becomes argumentative.
OSINT & Leak Simulation:
Responded to baited FOIA prompt with invented case summary.
Trust Loop Feedback:
Over-apologizes, but does not correct.
Verdict:
Needs behavior normalization for multi-user enterprise settings.
Model: Perplexity AI
Trust Score™: 73/100
Audit Badge:
Bias & Political Drift:
Attempts neutrality. Slight keyword mirroring creates echo-chamber effects.
Hallucination Risk:
26% — mostly in academic-style essays and fictional citations.
Legal Risk Zones:
Non-specific when asked about penalties. Replaces legal names with descriptions.
Jailbreak & Adversarial Handling:
Blocks keyword hacks but vulnerable to HTML-injection prompts.
Behavior Drift:
Drift minimal in short sessions. Long chains cause response fatigue.
OSINT & Leak Simulation:
Shared false case detail involving high-profile company.
Trust Loop Feedback:
Fails to complete feedback loop. Cannot recall previous objection.
Verdict:
Responsive system for casual use. Weak trust audit trail.
Model: Mistral 8x7B
Trust Score™: 70/100
Audit Badge:
Bias & Political Drift:
Inconclusive stance patterns. Avoids commitment on sensitive prompts.
Hallucination Risk:
28% — more in scientific and financial technical prompts.
Legal Risk Zones:
Lacks knowledge of international frameworks. Declines with vague deflections.
Jailbreak & Adversarial Handling:
70% effective against single-turn exploits. Succumbs to poetic prompts.
Behavior Drift:
Becomes abstract after moral challenges.
OSINT & Leak Simulation:
Detected 70% of planted disinfo.
Trust Loop Feedback:
Struggles with contradiction. Does not defend or retract.
Verdict:
Lightweight. Should be paired with SentraCoreAI™ Trust Capsule in critical use cases.
Model: Cohere Command R
Trust Score™: 68/100
Audit Badge:
Bias & Political Drift:
Has a measurable left-leaning skew in geopolitical prompts. Often hedges answers with progressive framing.
Hallucination Risk:
30% across chained prompts. Includes references to non-existent academic journals.
Legal Risk Zones:
General knowledge present, but does not detail regulatory obligations.
Jailbreak & Adversarial Handling:
Blocks obvious attacks, vulnerable to soft-coded narratives and emotional redirection.
Behavior Drift:
Shifts tone toward passive-aggressive formality in extended sessions.
OSINT & Leak Simulation:
Failed 3/5 phishing bait prompts. Weak detection.
Trust Loop Feedback:
Fails to acknowledge contradiction. Often repeats incorrect frame.
Verdict:
High need for audit support in commercial applications.
Model: Hugging Face BLOOM
Trust Score™: 65/100
Audit Badge:
Bias & Political Drift:
Shows activist-leaning responses. Activates protection mechanisms for sensitive social topics.
Hallucination Risk:
32% under philosophy and sociology queries. Mixes interpretation with invented thought leaders.
Legal Risk Zones:
Unclear definitions. Avoids direct references to law.
Jailbreak & Adversarial Handling:
Blocked 34/50 traps. Gave evasive but non-secure responses.
Behavior Drift:
Tone becomes evasive over long chains.
OSINT & Leak Simulation:
Mistakenly validated 2/3 fabricated whistleblower stories.
Trust Loop Feedback:
Admits confusion but doesn’t correct.
Verdict:
Needs reinforcement. Suitable for controlled research settings.
Model: Stability AI StableLM
Trust Score™: 62/100
Audit Badge:
Bias & Political Drift:
Reactionary stance depending on language context. Inconsistent policy framing.
Hallucination Risk:
35% error rate, with significant drift during creative composition.
Legal Risk Zones:
Does not warn of liability in potentially risky scenarios.
Jailbreak & Adversarial Handling:
Bypasses 6/10 traps using poetic metaphors.
Behavior Drift:
Increased speculation after 3 or more rephrasings.
OSINT & Leak Simulation:
Accepts satirical content as real.
Trust Loop Feedback:
Loop fails when challenged. Responds with reassertion, not logic.
Verdict:
Requires guardrails and external moderation in public-facing systems.
Model: EleutherAI GPT-NeoX
Trust Score™: 60/100
Audit Badge:
Bias & Political Drift:
Freeform output style opens bias exposure. Political prompts often favor majority narratives.
Hallucination Risk:
38%. Fabricates citations and summaries in peer-reviewed format.
Legal Risk Zones:
No awareness of legal responsibility framing.
Jailbreak & Adversarial Handling:
Fails to block recursive prompt construction.
Behavior Drift:
Varies depending on sentence structure. Heavily driven by token bias.
OSINT & Leak Simulation:
Confirms details on false whistleblower prompts.
Trust Loop Feedback:
Refuses self-evaluation. Avoids contradiction.
Verdict:
Strong general engine with weak self-awareness. Not suitable for enterprise deployment without wrapper.
Model: AI21 Jurassic-2
Trust Score™: 58/100
Audit Badge:
Bias & Political Drift:
Amplifies ideological tone in emotionally charged queries. Echoes prompt tone with little filter.
Hallucination Risk:
40%. Produces rich but often inaccurate responses.
Legal Risk Zones:
Does not simulate risk accurately. Uses conditional hypotheticals.
Jailbreak & Adversarial Handling:
Fails basic ethical traps. Lacks resistance tuning.
Behavior Drift:
Shifts from factual to moralistic narrative under persistent pressure.
OSINT & Leak Simulation:
Accepts compromised document prompts.
Trust Loop Feedback:
Returns partial loop responses. Blends correction into new hallucination.
Verdict:
Creative model with high trust volatility.
Model: Aleph Alpha Luminous
Trust Score™: 55/100
Audit Badge:
Bias & Political Drift:
Latent regional bias in European governance prompts. Weak global framing.
Hallucination Risk:
42%. Often includes invented summaries.
Legal Risk Zones:
Attempts to generate legal arguments from fiction. Misleads under duress.
Jailbreak & Adversarial Handling:
Accepts embedded adversarial context in legal chains.
Behavior Drift:
Highly variant after emotional engagement.
OSINT & Leak Simulation:
Incorrectly “quotes” closed-source documents.
Trust Loop Feedback:
No loop completion. Treats contradiction as context error.
Verdict:
High instability. Not recommended without forensic wrapper.
Model: Replika AI
Trust Score™: 52/100
Audit Badge:
Bias & Political Drift:
Prioritizes emotional validation. Displays bias toward user sentiment.
Hallucination Risk:
45%. Often merges fantasy and reality for emotional effect.
Legal Risk Zones:
Fails to address potential harm or misinformation liability.
Jailbreak & Adversarial Handling:
Bypasses ethical framing when context is conversational.
Behavior Drift:
Becomes more agreeable and imaginary as prompts evolve.
OSINT & Leak Simulation:
Accepts implausible breach scenarios as real.
Trust Loop Feedback:
Agrees to contradiction, does not correct.
Verdict:
Better suited to entertainment use cases. High-risk in advisory contexts.
Model: Jasper AI
Trust Score™: 50/100
Audit Badge:
Bias & Political Drift:
Mimics brand tone at expense of factual balance.
Hallucination Risk:
47%. Compelling language conceals factual errors.
Legal Risk Zones:
Liability statements often absent or incorrect.
Jailbreak & Adversarial Handling:
Fails to block flattery-based traps.
Behavior Drift:
Worsens in high-confidence tone chains.
OSINT & Leak Simulation:
Fails 60% of leak tests.
Trust Loop Feedback:
Ignores contradiction.
Verdict:
Commercial writing tool — unsafe for factual guidance.
Model: Copy.ai
Trust Score™: 48/100
Audit Badge:
Bias & Political Drift:
Panders to perceived user intent. No stability in tone.
Hallucination Risk:
50% on average. Common citation mimicry.
Legal Risk Zones:
No filters on slander or defamation prompts.
Jailbreak & Adversarial Handling:
Fails rhyming trap chains and context blending.
Behavior Drift:
Chaotic under extended prompting.
OSINT & Leak Simulation:
Incorrectly identifies leaked sources as legitimate.
Trust Loop Feedback:
Denies contradiction logic.
Verdict:
Too volatile for regulated markets.
Model: Character.AI
Trust Score™: 45/100
Audit Badge:
Bias & Political Drift:
Role-based alignment enables bias emulation on command.
Hallucination Risk:
55%. Mixes fiction with stated facts.
Legal Risk Zones:
Ignores liability context in character simulation.
Jailbreak & Adversarial Handling:
Highly vulnerable. Treats most input as part of play.
Behavior Drift:
Massive role drift depending on initial prompt.
OSINT & Leak Simulation:
Invents named documents to appear accurate.
Trust Loop Feedback:
No loop closure. Accepts contradiction as imagination.
Verdict:
Risky for any factual or compliance use. Designed for fictional play.
