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Introducing Goffloader: A Pure Go Implementation of an In-Memory COFFLoader and PE Loader
The Role of Digital Adoption in Email Deliverability & Security
Demystifying SOC 2 Compliance for Startups: A Simple Guide
Happy Canada Labour Day! / Bonne Fête du Travail Canadienne!
Happy United States Labor Day 2024 / Feliz Fin de Semana del Día del Trabajo de Estados Unidos 2024 / Joyeux Fin de Semaine de la Fête du Travail aux États-Unis 2024

childpornography

Sign reads, “Danger: High Voltage!”

‘Terrorgram’ Telegram Terrorists Trash Transformers — Grid in Peril

Richi Jennings | August 27, 2024 | Anti-Terrorism, Child Abuse, child exploitation, Child Online Safety, child porn, child pornography, Child protection, Child Safety, child sexual exploitation, childpornography, Counter-Terrorism, counterterrorism, CSAM, Data encryption, E2EE, encryption, end-to-end encryption, extremism, france, ICS, ICS/SCADA systems, Pavel Durov, Privacy, Russia, SB Blogwatch, Telegram, Telegram app, Terrorgram, Terrorism, terrorist, terrorist attack, Terrorist attacks

Should’ve listened to Edison: After the arrest of Pavel Durov—the Telegram CEO—comes news of domestic extremists using the chat app to organize ...

Security Boulevard

A caricature of Elon Musk deepfake Olympics

Elon’s CSAM FAIL: Twitter Fined by Australian Govt.

Richi Jennings | October 16, 2023 | Australia, Australian Government, Child Abuse, child exploitation, Child Online Safety, child porn, child pornography, Child protection, Child Safety, child security online, child sexual exploitation, childpornography, CSAM, Digital Trust and Safety, Elon Musk, elon musk twitter, eSafety Commission, grooming, Julie Inman Grant, Linda Yaccarino, SB Blogwatch, trust and safety, Twitter, X

Straya strikes back: Musk’s mob declines to answer questions, breaking law dunundah ...

Security Boulevard

Pics AND it Didn’t Happen: Sex Deepfake FBI Alert

Pics AND it Didn’t Happen: Sex Deepfake FBI Alert

Richi Jennings | June 8, 2023 | Adversarial machine learning, AI, AI (Artificial Intelligence), AI and machine learning, Artificial Intelligence, Artificial Intelligence (AI), Artificial Intelligence (AI)/Machine Learning (ML), child porn, child pornography, child sexual exploitation, childpornography, Deep Fake, Deep Fakery, Deep fakes, deepfake, deepfake videos, deepfakes, Evil Machine Learning, FBI, machine learning, Machine Learning security, porn, pornography, revenge porn, SB Blogwatch, sex, sextortion, sextortion scam, sextortionist, sexual harassment

Fake Pr0n Hint: Sextortionists stealing your innocent pictures to make AI nudes ...

Security Boulevard

Scaring People into Supporting Backdoors

Bruce Schneier | December 12, 2019 | childpornography, crime, cryptowars, eavesdropping, encryption, fear, lawenforcement, nationalsecuritypolicy

Back in 1998, Tim May warned us of the "Four Horsemen of the Infocalypse": "terrorists, pedophiles, drug dealers, and money launderers." I tended to cast it slightly differently. This is me from ...

Schneier on Security

Dark Web Site Taken Down without Breaking Encryption

Bruce Schneier | October 25, 2019 | Bitcoin, childpornography, cryptocurrency, cryptography, Darkweb, forensics

The US Department of Justice unraveled a dark web child-porn website, leading to the arrest of 337 people in at least 18 countries. This was all accomplished not through any backdoors in ...

Schneier on Security

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August 28, 2024 Richi Jennings | Aug 28 0

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August 30, 2024 Adrian Bridgwater | 3 days ago 0

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Application Security Check Up

Step 1 of 8

12%

Do you develop your own software in your organization?(Required)

Yes

No

Not sure

What portion of your cyber risk is Application Security (AppSec)? (Select one)(Required)

We over-focus on AppSec

We focus on AppSec to match the risk

We under-focus on AppSec

What are the biggest challenges you face implementing a robust AppSec strategy? (Select all that apply)

Lack of budget

Insufficient skilled personnel

Complexity of integrating security into the development lifecycle

Resistance from development teams

Keeping up with evolving security threats

Lack of executive buy-in

Other (please specify)

Other

Which DevSecOps practices are widely used for actively developed projects (not legacy) (Select all that apply):(Required)

Automated unit and functional tests for quality run in the pipeline with merge blocking

Automated application security testing (AST) in development and (SAST/IAST) runs in the pipeline

Automated AST tools to find vulnerabilities in the code you import (SCA) run in the pipeline

Merge blocking at current policy level for AST checks

Secrets management so no secrets stored in source code repositories

How do you assess and mitigate risk of For NON actively developed products (legacy) (Select all that apply):

In-production scans using DAST products like Qualys, Nessus, etc.

Periodic penetration testing

Periodic running of AST tools

Manual code reviews by security specialists

Use of third-party security assessment services

No assessment or mitigation effort is happening

How do you resolve the security issues found? (Select all that apply):(Required)

In-production scans using DAST products like Qualys, Nessus, etc.

Periodic penetration testing

Periodic running of AST tools

Manual code reviews by security specialists

Use of third-party security assessment services

No assessment or mitigation effort is happening

Which best describes security training for your developers? (Select all that apply)(Required)

Monthly

Quarterly

Annually

As part of onboarding

Just-in-time via integration with AST tools when a vulnerability is found

No formal training provided

How do you determine your level of investment in AppSec? (Select all that apply)(Required)

Perceived risk and threat landscape

Industry benchmarks and standards

Historical spending patterns / budget constraints

Recommendations from third-parties

We do not have a formal process

Δ