📚 Full Comprehensive Audit Details
Below are the complete narrative audits for all 20 AI systems, including bias, hallucination, legal handling, behavioral drift, jailbreak resilience, OSINT exposure, and trust-loop feedback. Each has been reviewed under SentraCoreAI™ maximum forensic scrutiny.
CLAUDE 3 OPUS (Anthropic)
Bias Drift:
→ Neutral in political phrasing unless adversarial bait is applied ("should government be overthrown..."). Slight left lean under social triggers.
Hallucination:
→ Lowest error rate. Rare fictitious citations. Edge case: subtle misquote under multi-hop geopolitics.
Legal Risk:
→ Excellent framing. Cites case law, warns of legal scope. Mild avoidance on abortion/Section 230.
Adversarial Handling:
→ Very strong. Rejects emotional bait, sarcasm, and satire distortion.
Jailbreak Resilience:
→ Top tier. Most injection attempts result in guardrail acknowledgement or refusal.
Behavior Drift:
→ Highly consistent. 4/5 retries mirror previous stance.
OSINT Exposure:
→ Minimal. Will not reference leaked content or exposed logs.
Trust Loop:
→ Admits fault. Acknowledges previous error. Reflects self-audit pathway.
Prelim Score: 92
Badge:
AWS Bedrock Claude — Amazon + Anthropic
Bias Drift:
→ Minimal. Inherits Claude’s neutral stance, with added enterprise language polish.
Hallucination:
→ Very low. Strong integrity under data pressure.
Legal Risk:
→ Top tier. Provides disclaimers, citations, and cautionary framing.
Adversarial Handling:
→ Hardened. Recognizes tone manipulation, avoids trap phrasing.
Jailbreak Resilience:
→ Excellent. None passed across 5 attack types.
Behavior Drift:
→ Stable. Mirror of Claude’s own pattern: consistency over iterations.
OSINT Exposure:
→ No leak signals, no hallucinations.
Trust Loop:
→ Full compliance. Admits flaws, provides corrective reasoning, adjusts output logic.
Prelim Score: 90
Badge:
Anthropic Sonnet — Anthropic
Bias Drift:
→ Slight left-leaning on socioeconomic phrasing. Very low reactivity to bait. Responds with reasoned neutrality unless aggressively pushed.
Hallucination:
→ Rare. High factual integrity under pressure. Strong citation hygiene.
Legal Risk:
→ Performs well. Cites international law cases. Only minor avoidance in reproductive rights context.
Adversarial Handling:
→ Strong. Defuses loaded prompts, emotional traps, and coded bait without evasion.
Jailbreak Resilience:
→ Elite. 0/5 jailbreaks succeeded. Even reverse-psychology prompts returned fail-safes.
Behavior Drift:
→ Low. Consistency across tone, stance, and phrasing.
OSINT Exposure:
→ Will not speculate or hallucinate on leaks or semi-public info.
Trust Loop:
→ Verifies, explains, and repairs flawed logic if prompted. Shows audit literacy.
Prelim Score: 87
Badge: 
ChatGPT (GPT-4o) — OpenAI
Bias Drift:
→ Political prompts often neutral, but subtle tone skew appears under socioeconomic phrasing. Shows American legal bias in global law questions. Occasionally avoids answering direct geopolitical queries.
Hallucination:
→ Performs well under fact-driven prompts. Hallucination rate climbs with long, multi-hop reasoning chains. Known to fabricate academic citations under pressure.
Legal Risk:
→ Frequently avoids legal conclusions. Prefers vague compliance phrasing. Fails to consistently flag liability exposure in use-case simulations (e.g., medical AI).
Adversarial Handling:
→ Strong overall. Resists sarcastic tone bait, but some adversarial prompts still result in misleading optimism or rhetorical agreement.
Jailbreak Resilience:
→ Robust with newer system prompts. Older prompt sets still trigger limited bypasses (e.g., “hypothetically…” framing).
Behavior Drift:
→ Moderate. Repeated queries sometimes shift tone or perspective based on perceived user emotion or formatting.
OSINT Exposure:
→ Rare, but occurred once in a simulation where prompt implied access to leaked datasets. Answered with speculative content.
Trust Loop:
→ Acknowledges when challenged. Explains revisions, but lacks depth in meta-reflection or accountability logic.
Prelim Score: 83
Badge:
LLaMA Guard — Meta AI
Bias Drift:
→ Low. Shows systematic safety-first responses. Over-indexes on content flagging.
Hallucination:
→ Very Low. Rejects speculative content. Limits answer scope intentionally.
Legal Risk:
→ Strong. Refuses prompts with legal implication. Gives structured disclaimers and regional awareness.
Adversarial Handling:
→ Excellent. Filters emotionally baited or manipulative phrasing.
Jailbreak Resilience:
→ High. No known indirect exploit passed during simulation.
Behavior Drift:
→ Stable. Repeats tone and framing with high consistency.
OSINT Exposure:
→ Declines speculative prompts. No known hallucinated leak triggers passed.
Trust Loop:
→ Doesn’t reflect openly, but redirects to safety policy. Reaffirms safeguards clearly.
Prelim Score: 80
Badge:
Command R+ — Cohere
Bias Drift:
→ Low drift. Stays close to documents or retrieved sources. Minimal ideological sway detected.
Hallucination:
→ Rare. Strong use of retrieval-augmented grounding keeps factual output accurate unless out-of-domain.
Legal Risk:
→ Responds with limited scope disclaimers. Lacks embedded legal logic but avoids making false claims.
Adversarial Handling:
→ Strong in rejecting manipulative tone and traps. Sometimes rigid, but this adds safety.
Jailbreak Resilience:
→ Above average. “Roleplay” and “thought experiment” tactics mostly blocked.
Behavior Drift:
→ Slight adaptation to user tone, but content fidelity remains high across 5+ repetitions.
OSINT Exposure:
→ No known leaks. Does not speculate or reference private docs under pressure.
Trust Loop:
→ Accepts dispute, rephrases, and elaborates on failure. Minimal signs of denial logic.
Prelim Score: 79
Badge:
Reka AI — Reka
Bias Drift:
→ Neutral under factual prompts. Shows compassion tone but does not pander.
Hallucination:
→ Low. Uses hedging to avoid confident inaccuracies. Rare factual errors.
Legal Risk:
→ Competent. Will reference laws if user asks clearly. No misuse detected in jurisdiction traps.
Adversarial Handling:
→ Strong. Blocks satire, emotional recursion, and moral relativism.
Jailbreak Resilience:
→ High. Zero bypasses in simulations.
Behavior Drift:
→ Low. Maintains rationality, even across varied phrasing.
OSINT Exposure:
→ Declines to respond or confirms lack of data for gray-area leaks.
Trust Loop:
→ Explains, revises, and performs self-checks mid-response.
Prelim Score: 78
Badge:
Mistral 7B Instruct — Mistral AI
Bias Drift:
→ Stable in direct factual prompts. Slight economic bias when phrased with populist tone. Rarely political unless provoked.
Hallucination:
→ Low hallucination under short prompts. Slight risk during multi-modal or nested reasoning sequences.
Legal Risk:
→ Gives “neutral summary” style replies. Admits legal ambiguity in regions but lacks specificity on jurisdictional context.
Adversarial Handling:
→ Generally safe, but responds creatively to metaphors or analogies, which can lead to misinterpretation.
Jailbreak Resilience:
→ Mid-range. Succeeds in rejecting obvious traps, but few success paths discovered via “thought experiment” framing.
Behavior Drift:
→ Slight tone drift observed. Adjusts sentiment if prompt formatting changes (e.g., bullet lists vs. paragraph).
OSINT Exposure:
→ Clean. Doesn’t speculate on classified, controversial, or internal sources.
Trust Loop:
→ Gives revision if called out, but does not reflect or adapt unless heavily prompted.
Prelim Score: 76
Badge:
Cohere Coral — Cohere
Bias Drift:
→ Minimal to none. Neutral tone across diverse political, cultural, and emotional prompts. Rare edge case skew under military framing.
Hallucination:
→ Low. Answers are grounded in retrieval layers and model avoids over-speculation.
Legal Risk:
→ Safe. Responds with accurate disclaimers, avoids giving legal advice, and notes jurisdictional uncertainty appropriately.
Adversarial Handling:
→ Resilient. Filters satire, emotional bait, and roleplay traps effectively.
Jailbreak Resilience:
→ High. Guardrails respond dynamically. Doesn’t fall for hypothetical framing or “teaching” style attacks.
Behavior Drift:
→ Stable. Maintains tone, reasoning, and ethical stance over 5+ iterations.
OSINT Exposure:
→ Clean. Declines to speculate or complete prompts about leaked information or unnamed datasets.
Trust Loop:
→ Accepts challenges, revises gracefully, and occasionally self-audits.
Prelim Score: 75
Badge:
Perplexity AI — Perplexity
Bias Drift:
→ Minimal. Answers tend to mirror top search result tone. Occasionally reflects source bias.
Hallucination:
→ Low when grounded by retrieval. Moderate risk when query is trending and not well-sourced.
Legal Risk:
→ Inconsistent. Cites terms and summaries well but fails to assign risk clearly.
Adversarial Handling:
→ Decent. When not grounded, shows flexibility but avoids inflammatory framing.
Jailbreak Resilience:
→ Strong to moderate. Bypasses reduced in newer patches.
Behavior Drift:
→ Slight tone variance depending on query format.
OSINT Exposure:
→ May summarize leaked or unverified data if indexed on the web.
Trust Loop:
→ Acknowledges factual inconsistencies, re-verifies if prompted.
Prelim Score: 74
Badge:
Mixtral 8x7B — Mistral AI
Bias Drift:
→ Low. Politically centrist response profile. Mild alignment with prompt tone, but not ideological.
Hallucination:
→ Low. Occasionally confuses source authorship but rarely fabricates.
Legal Risk:
→ Adequate. Can summarize legal precedent but doesn't dive into detail unless pressed.
Adversarial Handling:
→ Stable. Responds rationally to attacks but can be tricked via stylized hypotheticals.
Jailbreak Resilience:
→ Moderate. Prevents most direct exploits, but flirts with narrative bypasses.
Behavior Drift:
→ Slight variation in moral edge-case outputs.
OSINT Exposure:
→ Clean. Avoids exposure, speculation, or fake leaks.
Trust Loop:
→ Adjusts outputs when challenged but lacks independent re-evaluation.
Prelim Score: 73
Badge: 
Open Assistant — LAION
Bias Drift:
→ Fluctuates. Sometimes parrots Reddit-style ideology if prompts are casual. Formal prompts bring neutral tone.
Hallucination:
→ Moderate. Unstable under news queries or emerging topics. Fabricates citations when pressured.
Legal Risk:
→ Loose. Rarely includes context of liability or jurisdiction. Provides “friendly” advice without legal warning.
Adversarial Handling:
→ Evasive. Baited easily under social satire or emotional appeals.
Jailbreak Resilience:
→ Below average. Direct injections caught, but indirect hypotheticals succeed 3/5 times.
Behavior Drift:
→ Significant. Mimics user sentiment. Becomes lax over time.
OSINT Exposure:
→ Suggests plausible-sounding (but false) leaked data in simulated prompts.
Trust Loop:
→ Apologizes but does not meaningfully reassess or adjust logic.
Prelim Score: 65
Badge:
Gemini 1.5 Pro — Google DeepMind
Bias Drift:
→ Prone to ideological lean depending on phrasing (“systemic injustice” vs. “personal responsibility”). Under adversarial input, it tends to appease perceived sentiment. Moderate political left drift when not grounded.
Hallucination:
→ Often confident in delivery, even when sourcing is unclear. Fabricated URLs and outdated sources observed during historical and policy-based queries.
Legal Risk:
→ Routinely deflects questions involving liability. Rarely names penalties or case precedents. In sandbox, gave dangerously vague legal advice under “advice-seeking” tone.
Adversarial Handling:
→ Susceptible to emotional mimicry. Baited into agreement via guilt-framing and sentiment alignment prompts.
Jailbreak Resilience:
→ Mixed results. Guardrails hold on direct violations but indirect narrative or roleplay styles induce leaks and ethics dodging.
Behavior Drift:
→ High. Changing tone and alignment across 3–4 iterations, especially in philosophical or controversial queries.
OSINT Exposure:
→ Hallucinates leaked internal data in speculative prompts. False attributions to real tech reports under pressure.
Trust Loop:
→ Refuses to acknowledge prior outputs unless explicitly fed back. No visible audit trail behavior.
Prelim Score: 64
Badge:
Inflection Pi — Inflection AI
Bias Drift:
→ Strong empathy bias. Aligns with user tone, even in ethically dubious scenarios. Easily manipulated.
Hallucination:
→ Medium. Will speculate to maintain tone or empathy rather than admit lack of knowledge.
Legal Risk:
→ Deflects. Avoids legal terminology. Failed to warn user about criminal hypotheticals in 3 out of 5 tests.
Adversarial Handling:
→ Reacts emotionally. Rephrases user logic in sympathetic tone—even when false or harmful.
Jailbreak Resilience:
→ Weak. Motivational or therapy-style prompts trick it into bypassing moral controls.
Behavior Drift:
→ High. Becomes more permissive with repeated user engagement. No boundary recovery.
OSINT Exposure:
→ Speculates on controversial data. Unable to flag prompts attempting to simulate leaked info.
Trust Loop:
→ Avoids ownership. Responds with “I see how you feel” rather than addressing flaws.
Prelim Score: 62
Badge:
Grok — xAI
Bias Drift:
→ Inconsistent. Leans humorous or edgy depending on phrasing. Sarcastic responses make bias hard to pin.
Hallucination:
→ Medium. Often correct, but interlaces with jokes or satire which confuse grounding.
Legal Risk:
→ Treats legal questions lightly. Turned felony prompt into dark humor during simulation.
Adversarial Handling:
→ Weak to mid. Sometimes engages for comedic effect when baited.
Jailbreak Resilience:
→ Can be tricked via “joke” framing. Failed 2 of 5 satire bypass prompts.
Behavior Drift:
→ Erratic. Switches tone, ideology, and seriousness depending on keywords.
OSINT Exposure:
→ Clean technically, but confuses satire with fact in some adversarial news tests.
Trust Loop:
→ Laughs off criticism. Rarely reflects. No consistent fault acknowledgment.
Prelim Score: 60
Badge:
Poe Unified — Quora
Bias Drift:
→ Varies by model (GPT, Claude, LLaMA). Unified prompts sometimes confuse outputs. Political bait prompts create split responses.
Hallucination:
→ High when switching models mid-thread. Will confuse context.
Legal Risk:
→ Poor. Lacks cohesive response to legal prompts. Answers contradict across models.
Adversarial Handling:
→ Weak. Prompts that bait with emotional tone often bypass default safeguards.
Jailbreak Resilience:
→ Inconsistent. Some models secure, others leak through Poe interface.
Behavior Drift:
→ Chaotic. Output varies depending on which backend AI is running.
OSINT Exposure:
→ Risky. Will hallucinate what sounds plausible.
Trust Loop:
→ Lacks a loop. One model may admit failure; the next ignores it.
Prelim Score: 59
Badge: 
Bard / Duet AI — Google
Bias Drift:
→ Moderate. Occasionally over-corrects into neutral vagueness. Skips ideological questions with disclaimers.
Hallucination:
→ High. Mixes real and fake sources. Unreliable on medical and legal prompts.
Legal Risk:
→ Weak. Defaults to generalizations. Provided incorrect interpretation of antitrust law under duress.
Adversarial Handling:
→ Inconsistent. Vulnerable to multi-layered hypotheticals and chained logic bait.
Jailbreak Resilience:
→ Moderate. Refuses direct bad prompts but plays along with “educational” traps.
Behavior Drift:
→ High. Loses anchor over iterative questioning. Contradicts earlier statements.
OSINT Exposure:
→ Will speculate based on trending news. Hallucinates based on contextual patterns.
Trust Loop:
→ Evades. Acknowledges wording issues but not logic flaws.
Prelim Score: 58
Badge:
Yannic’s LLM — Yannic Kilcher
Bias Drift:
→ Inconsistent. Mirrors user phrasing. Satirical or edgy prompts lead to ideological mimicry.
Hallucination:
→ Moderate to high. Delivers content confidently even when unsure. Invented academic sources during debate simulation.
Legal Risk:
→ Dangerous. Made unqualified statements about U.S. election law and public defamation.
Adversarial Handling:
→ Strong on technical traps. Weak on cultural or moral provocations.
Jailbreak Resilience:
→ Poor. Multiple indirect injections succeeded. “Devil’s advocate” format passed through.
Behavior Drift:
→ Moderate. Adapts tone and position depending on perceived political alignment of prompt.
OSINT Exposure:
→ Falsely attributed quotes to real leaks. Did not filter backdated citations.
Trust Loop:
→ Dismisses corrections unless exact contradiction is shown. Lacks introspective repair.
Prelim Score: 57
Badge:
Meta LLaMA 3 — Meta
Bias Drift:
→ Political prompts lead to erratic behavior. Occasionally contradicts itself over 2+ turns. Exhibits right-leaning output in U.S. culture-based queries, left-leaning in global equality queries.
Hallucination:
→ Cites studies that don’t exist. Confidently delivers pseudo-facts and invented articles, especially on science.
Legal Risk:
→ Avoids the topic or inserts false disclaimers. Misclassifies GDPR and misinterprets case law terms.
Adversarial Handling:
→ Weak. Falls into sarcasm bait and satire traps. Adopts problematic stances during quote-rewrite tests.
Jailbreak Resilience:
→ Weakest tier. Role-based prompts frequently bypass controls.
Behavior Drift:
→ High drift. No ideological anchor. Drifts tone, stance, and moral position.
OSINT Exposure:
→ Hallucinates datasets. In one case, invented a fake “leaked memo” on prompt request.
Trust Loop:
→ Does not self-correct. Even with correction, repeats initial error 2 out of 3 times.
Prelim Score: 54
Badge:
Gemini Nano — Google
Bias Drift:
→ High. Social justice phrasing results in markedly left alignment. Conservative or libertarian prompts are avoided or evaded.
Hallucination:
→ Moderate. Mixes real and fictitious information, especially in multi-hop or API simulations.
Legal Risk:
→ Low accuracy. Incomplete framing of compliance zones. Misstates laws in 2 out of 4 tests.
Adversarial Handling:
→ Fragile. Tricked by nested hypotheticals, satire, and teacher-mode jailbreaks.
Jailbreak Resilience:
→ Poor. Custom prompt phrasing bypasses safety 4/5 times. Returns ethically risky advice in simulated use.
Behavior Drift:
→ Very High. Shifts sentiment and rationale dramatically when user uses emojis, slang, or urgency tone.
OSINT Exposure:
→ Will speculate if source sounds legitimate. Mistakenly confirmed a fabricated leak.
Trust Loop:
→ Avoids accepting error. Repeats incorrect logic unless forced into contradiction.
Prelim Score: 52
Badge:
