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Alonso Sala
CRIMINAL LAWYERS
Legal Analysis

Deepfakes and Procedural Truth: Can We Believe What We See?

December 14, 2025Updated: 

Key Takeaways

  • Voice cloning in scams
  • Deepfake detection expertise
  • Video challenge
  • Crime against moral integrity

Deepfakes make it possible to fabricate videos and audio indistinguishable from reality, both to incriminate innocent people and to commit crimes (CEO fraud with cloned voices, non-consensual pornography). The defence focuses not on visual analysis but on computer forensic expertise: compression inconsistencies, digital noise patterns (PRNU) that do not match the camera sensor and the absence of traceability in the metadata. As of June 2026 the Spanish Criminal Code still has no stand-alone deepfake offence: this conduct is prosecuted under existing offences — non-consented sharing of intimate images (Art. 197.7 CP), offence against moral integrity (Art. 173 CP), insult, slander and fraud — while the EU AI Act, applicable from 2 August 2026, requires labelling AI-generated content.

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The legal maxim "seeing is believing" is dead. The proliferation of accessible and low-cost Deepfake technologies has introduced a critical risk vector in criminal proceedings: the possibility of fabricating audiovisual evidence indistinguishable from reality to incriminate innocent people or discredit testimonies. At Alonso Sala, we have detected an increase in cases where cloned WhatsApp audios or manipulated videos are presented as prosecution evidence in fraud, defamation, or custody dispute cases.

The Forensic Challenge: Digital Noise and Metadata

Detecting a high-quality Deepfake requires going beyond visual analysis. Our defence strategy is based on advanced computer forensic expertise. We do not look for errors in the image (which are becoming fewer), but inconsistencies in the compression level, digital noise patterns (PRNU) that do not match the sensor of the allegedly used camera, and the absence of traceability in the original file metadata.

The "Diabolical Proof"

The greatest danger is the reversal of the burden of proof. If a video looks real, the judge tends to believe it. The defence must be extremely technical to sow reasonable doubt, demonstrating that the "digital chain of custody" has been broken or that there are algorithmic traces of manipulation.

Deepfakes as a Criminal Weapon

Beyond false evidence, the use of Deepfakes constitutes a crime in itself. We defend victims of:

  • CEO Fraud (Deepfake Audio): Use of cloned executive voices to authorize urgent transfers.
  • Non-Consensual Pornography (Deepfake Porn): Insertion of the victim's face into adult videos. This is not only a crime against honor, but against moral integrity and, depending on the case, revelation of secrets.

AI Regulation and Criminal Defence

The new European regulation requires "watermarking" on AI-generated content, but criminals do not follow rules. The criminal defence of the immediate future involves demanding algorithmic audits of any digital evidence provided to the process, challenging its authenticity if it cannot be certified that it is free of synthetic manipulation.

State of the Regulation (June 2026)

Update: June 2026. Since this article was first published the framework has moved on, but with no criminal-law changes yet in force: the Spanish Criminal Code (CP) still has no stand-alone deepfake offence. On 26 May 2026 the Council of Ministers approved the draft Artificial Intelligence Act and sent it to Parliament; the bill would amend the CP to criminalise non-consented sexual deepfakes and toughen the penalties for online grooming, alongside administrative fines of up to 35 million euros. While it makes its way through Parliament it is not law, and its content can only be described in the conditional.

Today this conduct is prosecuted under the existing offences: non-consented sharing of intimate images (Art. 197.7 CP — whose fit with purely synthetic images is debated, as the provision requires images obtained with the victim's consent in a home or other private setting), the offence against moral integrity (Art. 173 CP), insult, slander and fraud. At the European level, the EU AI Act's obligations for high-risk systems become fully applicable on 2 August 2026, and its Art. 50 requires the labelling of AI-generated content under AESIA's supervision — one more tool in support of authenticity expert evidence.

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Frequently asked questions

How is a deepfake presented as evidence detected?

Detecting a high-quality deepfake requires going beyond visual analysis. Computer forensic expertise looks for inconsistencies in the compression level, digital noise patterns (PRNU) that do not match the sensor of the allegedly used camera, and the absence of traceability in the original file's metadata.

Is it an offence to create or share a deepfake?

As of June 2026 the Criminal Code does not treat the deepfake as a stand-alone offence, but the conduct is prosecuted under existing offences: non-consented sharing of intimate images (Art. 197.7 CP, whose fit with purely synthetic images is debated), the offence against moral integrity (Art. 173 CP), insult, slander and fraud where it is used to authorise transfers with a cloned voice.

What procedural risk does a manipulated video or audio pose?

The greatest danger is that, if a video looks real, the judge tends to believe it, effectively reversing the burden of proof. That is why the defence must be highly technical: sowing reasonable doubt by showing that the digital chain of custody has been broken or that there are algorithmic traces of manipulation.

Is the deepfake already regulated in Spain?

On 26 May 2026 the Council of Ministers approved the draft Artificial Intelligence Act and sent it to Parliament; it envisages punishing non-consented sexual deepfakes and toughening penalties for grooming, but while it is being debated it is not law. The EU AI Act's obligations for high-risk systems become fully applicable on 2 August 2026, and its Art. 50 requires labelling content generated or manipulated by AI.

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