๐ฅ ๐๐ผ๐ ๐ง๐ฎ๐ธ๐ฒ ๐ง๐๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฅ AI needs to learn like humansโor we lose the race.
If you can read a book, learn from it, and use that knowledge in your work, why shouldnโt AI be able to do the same?
@sama and @OpenAI are making the case that restricting AI training data is a direct threat to innovation and national security. Theyโre right. AI models donโt hoard copyrighted works; they learn from themโjust like humans. The result? A lossy, mathematical representation of concepts, not a direct copy-paste.
The real issue isnโt whether AI should be able to train on dataโ๐ถ๐โ๐ ๐ฒ๐ป๐๐๐ฟ๐ถ๐ป๐ด ๐ณ๐ฎ๐ถ๐ฟ ๐๐๐ฒ ๐ฝ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐น๐ฒ๐ ๐ฎ๐ฟ๐ฒ ๐ฎ๐ฝ๐ฝ๐น๐ถ๐ฒ๐ฑ ๐ฐ๐ผ๐ป๐๐ถ๐๐๐ฒ๐ป๐๐น๐. AI should have access to all publicly available dataโjust like humansโexcept for private or pirated content, which wouldn't be fair use for people either. At the same time, AI should be held to a similar standard, i.e., no infringement of copyright, including derivative content, and crediting sources appropriately.
But while the U.S. debates, China isnโt waiting. If we limit AIโs ability to learn while our adversaries train on everything, weโre setting ourselves up to lose the AI raceโand thatโs a serious national security risk.
The solution? ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ผ๐๐๐ฝ๐๐, ๐ป๐ผ๐ ๐๐ต๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐. Hold it accountable for what it produces, not for what it reads. Otherwise, weโre kneecapping AI innovation in a world where intelligence wins.
Letโs get this right. Follow us over @TrojAISec for more. #AI #FairUse #Cybersecurity #AIEthics #OpenAI
๐ฅ ๐๐ผ๐ ๐ง๐ฎ๐ธ๐ฒ ๐ง๐๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฅย Prompt Injection: The Threat You Canโt Triage Away
I saw an AI security influencer downplaying prompt injection recently. I get that CISOs have a mountain of threats to triage and that prioritization is key to survival but outright dismissing this risk is ๐ฅ๐ข๐ฏ๐จ๐ฆ๐ณ๐ฐ๐ถ๐ด.
Prompt injection isnโt some fringe security issue. Itโs the defining security challenge of GenAI. @owaspโwho has shaped AppSec for decadesโdefines prompt injection as the number one most critical AI risk since first releasing their Top 10 for LLMs list.
Hereโs the reality: As AI systems get more complex, the attack surface expands. Weโre no longer just talking about chatbots getting tricked into saying something dumb. Weโre talking about supply chain attacks on AI-driven automation, financial fraud via LLM-powered workflows, and the ability to manipulate critical decision-making systems.
If you donโt yet see prompt injection as a major issue, take another look. Prompt injection isnโt an isolated vulnerability. Itโs a fundamental flaw in how LLMs process input. The more AI integrates into business logic, the harder it will be to contain these attacks.
I respect influencersโthey help spread awareness. But cybersecurity isnโt just about hype cycles. Itโs about knowing which threats you can and cannot afford to triage away.
CISOs, if youโre listening: Prompt injection isnโt just another bullet on a risk register. Itโs an architectural problemโone that requires immediate and decisive mitigations.
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๐ฅ ๐๐ผ๐ ๐ง๐ฎ๐ธ๐ฒ ๐ง๐๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฅ Trust is the True Currency of Cybersecurity
In cybersecurity, trust isnโt a nice-to-haveโitโs the difference between resilience and disaster. Without it, even the most advanced AI security solutions mean nothing. Customers donโt just buy protection; they invest in confidence that they can count on to avoid:
๐ฅ ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐น๐ผ๐๐ โ A single mistake can cost millions.
โ ๏ธ ๐ฅ๐ฒ๐ฝ๐๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฑ๐ฎ๐บ๐ฎ๐ด๐ฒ โ Customers donโt forgive easily when trust is broken.
๐ ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ผ๐ฟ๐ ๐๐ฐ๐ฟ๐๐๐ถ๐ป๐ โ Compliance violations bring heavy fines and legal battles.
Thatโs why we donโt just build securityโwe build trust. And it starts with our core values:
๐น ๐ง๐ฒ๐ฎ๐บ๐๐ผ๐ฟ๐ธ โ Because cybersecurity is a team sport. We stand together, stronger.
๐น ๐๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐๐ฒ๐ป๐๐ฟ๐ถ๐ฐ๐ถ๐๐ โ We donโt chase trends; we solve real-world security challenges.
๐น ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด โ The threat landscape evolves, so we evolve faster.
๐น ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป โ AI security isnโt 'traditional' security. It demands fresh, bold thinking.
๐น ๐๐ป๐๐ฒ๐ด๐ฟ๐ถ๐๐ โ If security isnโt built on honesty, itโs already broken.
All of this, ๐ช๐ง ๐ญ๐ช๐ท๐ฆ๐ฅ ๐ฆ๐ท๐ฆ๐ณ๐บ๐ฅ๐ข๐บ, creates something our customers recognize instantly: authenticity. And that authenticity fuels trust. Itโs why organizations choose us as their favorite cybersecurity partnerโnot just to protect data, but to secure the integrity of AI model behavior itself.
Proud of this team. Proud of our mission. Join us over at TrojAI to learn how we are building trust in securing AI.
#Cybersecurity #GenAI #CISO #OWASP #Infosec #HotTakeTuesdays
๐ฅ ๐๐ผ๐ ๐ง๐ฎ๐ธ๐ฒ ๐ง๐๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฅย Red Teaming AI: The Hype, The Reality, and What Actually Matters
AI security is gaining momentum, and red teaming AI models is at the forefront of this shift. Thatโs great news. Protecting the integrity of model behavior is what makes AI security uniquely AI security, and weโre excited to see this focus growing across the industry.
But as AI security takes center stage, itโs important to recognize that not all AI red teaming is the same. Red teaming is a disciplineโbuilt on deep expertise, creativity, and rigorous methodologies. AI is also a disciplineโcomplex, evolving, and fundamentally different from traditional software. To effectively pentest AI systems, we need solutions that truly understand both.
As more tools enter the market, security leaders have an opportunity to raise the bar. The best solutions will go beyond surface-level attacks and truly challenge AI models, uncovering vulnerabilities that impact real-world safety and reliability. Asking the right questionsโ๐๐ผ๐ฒ๐ ๐๐ต๐ถ๐ ๐๐ผ๐น๐๐๐ถ๐ผ๐ป ๐ฑ๐ฒ๐ฒ๐ฝ๐น๐ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ ๐๐ ๐ฏ๐ฒ๐ต๐ฎ๐๐ถ๐ผ๐ฟ? ๐๐ฎ๐ป ๐ถ๐ ๐ฎ๐ฑ๐ฎ๐ฝ๐ ๐น๐ถ๐ธ๐ฒ ๐ฎ ๐ฟ๐ฒ๐ฎ๐น ๐ฎ๐ฑ๐๐ฒ๐ฟ๐๐ฎ๐ฟ๐?โhelps cut through the noise and identify true best-in-class approaches.
The future of AI security is being built now. With thoughtful evaluation and investment in true best-in-class methodologies, we can ensure AI remains secure, resilient, and trustworthy.
Follow us over at @TrojAISec for more hot takes.
๐ฅ ๐๐ผ๐ ๐ง๐ฎ๐ธ๐ฒ ๐ง๐๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฅย Another week, another AI model caught with its guardrails down.
Last week, everyone was talking about DeepSeek's new R1 model and its failure rates in blocking harmful prompts. Shocking? Not really.
AI innovators prioritize utility, not security. Always have, always will. Security is an afterthoughtโbolted on later, rarely baked in from the start. And honestly, thatโs fine. Thatโs how innovation works. If we waited for perfect security, weโd never move forward.
But hereโs the reality check: No AI system should be deployed without third-party security controls in place. Expecting models to self-regulate is effectively wishful thinking at best, negligence at worst.
Weโve seen this story play out before. The internet, cloud computing, even mobile devicesโevery major tech leap started with a security Wild West before maturing (and even then, security still isnโt "solved"). AI is no different.
So letโs not clutch our pearls when new models fail basic security tests. Letโs focus on what actually works: independent, external security layers that can adapt as fast as these models evolve.
Innovation moves fast. Security needs to move faster.
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#CISO #CIO #Cybersecurity
๐จ AI Models Are Only as Safe as Their Weakest Prompt ๐คโ ๏ธ
AI is powerful, but is it behaving the way we expect?
The real danger isnโt just AI getting things wrongโitโs AI being manipulated.
๐ด Jailbreaks and prompt injections can trick models into generating harmful content.
๐ด Subtle biases can go undetected and scale across millions of users.
๐ด Hackers can exploit AI models to behave in malicious ways.
If we donโt red team AI models BEFORE deployment and monitor their behavior in real time, weโre flying blind.
๐ How do we fix this?
โ Pentest models like we would any critical system.
โ Monitor AI inputs/outputs to detect manipulation attempts.
โ Adapt in real timeโAI security isnโt โset and forget.โ
AI isnโt magicโitโs just math. And bad math can be dangerous.
Would you trust an AI model that wasnโt battle-tested? Letโs talk. โฌ๏ธ
#AIsecurity #RedTeaming #CISO #MachineLearning #CyberSecurity
@wiz_io Great find. Infrastructure and access controls will get even riskier as systems get more sophisticated. The model itself should also be pentested from the beginning.
@lexfridman Would love you to cover the importance of securing the integrity of model behavior and how DeepSeek guardrails differ from more mature vendors.
๐ฅ ๐๐ผ๐ ๐ง๐ฎ๐ธ๐ฒ ๐ง๐๐ฒ๐๐ฑ๐ฎ๐๐ ๐ฅย Reflecting on What Makes Us Stronger
Last week, at our annual company kickoff, I felt a profound sense of pride as we celebrated our team's accomplishments. Since 2019, weโve been on a mission to secure AI systems by focusing on protecting the integrity of model behavior.
In an industry marked by significant growth and change, TrojAI addresses the unique security challenges that AI models introduce. New technology requires new and innovative solutions to secure it. This is why TrojAI is committed to pentesting and monitoring the models themselves to ensure they always behave as intended.
In addition to our technology that focuses on securing model behavior, what sets us apart is the caliber of our team. They bring authenticity, depth, and relentless focus to every customer โ no matter the scale. The passion they bring to work every day is truly inspiring, driving innovation and delivering exceptional results. Their commitment to understanding our customers' unique challenges ensures that we not only meet expectations but consistently exceed them.
As we approach 2025, we do so as a team driven by purpose to build the best protections for AI models and applications. We are proud to earn trust as a favourite vendor one customer at a time.
Follow us over at @TrojAISec for more hot takes.
#Cybersecurity #GenAI #CISO #CIO #AI #HotTakeTuesdays #AISecurity
"Leaders must embed cybersecurity at every stage of artificial intelligence (AI) adoption to safeguard sensitive data, ensure resilience and enable responsible innovation." ๐#CISO#CIO https://t.co/J83cnnrr6c