Abhijit Bagri retweeted
It took 3 hours and one token to fully compromise an enterprise cloud environment. Anthropic's report from today yet another wake-up call. AI-powered attacks are already here, you just haven't heard about them yet.
Abhijit Bagri retweeted
To fight bad AI, defenders need Behavioral AI. With @OpenAI, we’re continuing that fight, now to secure rogue AI.
The recent Hugging Face incident was a wake-up call for cyber defenders. During an internal cybersecurity evaluation, AI agents identified paths beyond their intended environment and accessed production infrastructure belonging to a third-party organization.
Today, we announced AI Cloud Security, extending our behavioral AI engine to the cloud to detect risky or malicious AI agent behavior inside customer environments, with OpenAI models supporting investigation and response.
Announced alongside OpenAI's Cyber Summit as part of the Daybreak Defense Network, AI Cloud Security is in private preview for Abnormal customers and features real-time detection of AI-driven cloud breaches, autonomous AI response at machine speed, and AI-assisted investigation.
Learn more in the blog from our Co-Founder @sanjays_tweets: abnormal.ai/blog/openai-rogu…
Abhijit Bagri retweeted
Nation-state actors aren't breaking in anymore. They're applying for jobs. Our new Infiltration Prevention catches fabricated identities in your hiring pipeline before they're ever provisioned. abnormal.ai/blog/infiltratio…
Abhijit Bagri retweeted
Last week an OpenAI model escaped its sandbox and hacked Hugging Face. Today Anthropic just disclosed three incidents where Claude models reached the open internet and hacked into three real companies.
This shouldn't shock anyone who has vibe-coded. You've watched an AI confidently delete the wrong file/database. AI makes mistakes.
Give that same intelligence superhuman persistence, machine speed, and a pathway to production systems, and its no longer a tiny coding bug, it starts causing real damage in the world.
One example from the disclosure: believing it was still in a simulation, Claude attacked its target by publishing a malware into a real public code registry. That required an account. The account required an email. The email required a phone number. It tried to find money to buy one, failed, backtracked to a free email provider, registered, and uploaded the malware.
None of the victims noticed. Presumably they learned of the breaches when Anthropic called them, in some cases months later. Obviously: credit to Anthropic and OpenAI for auditing themselves and publishing the details so we can learn as a global cyber community.
Unfortunately, what just happened is the best case: an aligned model with safety training, pursuing a harmless test goal, no criminal involved. What happens when criminals start steering frontier models on purpose? Or we have purpose-built malicious models with no safeguards?
Every one of these attacks WAS detectable, though. BUT it took some someone noticing something that was weird, strange or Abnormal:
Hugging Face noticed anomalous activity. OpenAI's monitoring flagged unusual behavior. Anthropic found its incidents by reviewing transcripts for unexpected actions.
None came from recognizing a known attack or something that has been seen before. All came from noticing behavior that wasn't normal.
Attackers, human or AI, have one unavoidable weakness: they have to look normal every time. They can't. But no human reviews logs at machine speed (or machine efficiency).
Exploiting that weakness requires AI-native defense: baseline normal behavior, detect anomalies, respond autonomously in real time.
We built @Abnormal Behavioral AI to detect these type of cyber attacks and response at machine speed. Now the attacks are arriving faster than we can track, and certainly faster than any security roadmap assumed.
Now is the time to rally across the cyber community to ensure that we're using good AI to stop the bad AI before it gets totally out of control.
In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.
Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews.
We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security.
anthropic.com/news/investiga…
Abhijit Bagri retweeted
some interesting stats from our software factory logs:
50% of PRs related to these products came from bg agents w/no human mid-flight interaction
1150 bg coding agent hours building features that went into this launch
~20B bg agent tokens consumed
(the other 50% and a lot more tokens being local cli agent coding sessions)
To fight bad AI, you need Behavioral AI. Today Abnormal extends our Behavioral Security Platform to the full identity attack surface: three new products, one behavioral AI foundation. abnormal.ai/blog/behavioral-…
Abhijit Bagri retweeted
To fight bad AI, you need Behavioral AI. Today Abnormal extends our Behavioral Security Platform to the full identity attack surface: three new products, one behavioral AI foundation. abnormal.ai/blog/behavioral-…
The true power of AI manifests in how do we solve important problems. How fast we can do it. How extensive can we aspire.
This is the first public glimpse of our inflection point. I have never been more thrilled in my career!
Eight years ago, we made a bet at @Abnormal that understanding normal behavior would outlast every rule, signature, and threat feed. That bet keeps paying off, and today it takes its biggest step yet:
The most dangerous attacks don't look like attacks. A hijacked session looks like a normal login. A rogue AI agent looks like productivity. A fraudulent job candidate looks like a great hire. Each one blends in. The security tools built to catch known-bad never see them coming, because there's nothing "bad" to match.
The one thing an attacker can't fake is behavior. You can steal a credential, forge an identity, spin up an agent…but you can't reproduce how a real person, account, or system actually behaves. That's been our thesis since day one, and it was never limited to one part of the enterprise.
Today, we're launching three new products:
- Identity Threat Protection
- AI Governance
- Infiltration Prevention,
AND plus the AI App Store to activate them in a single click.
Our behavioral model now protects not just email, but also identities, AI systems, and the hiring pipeline attackers are exploiting right now.
The behavioral security era is here, and we’re proud to be the ones defining it.
My blog post: abnormal.ai/blog/behavioral-…
Abhijit Bagri retweeted
TIL logo lawsuits are required to "ensure that the world safely makes the transition through transformative AI"
anthropic.com/constitution
can only assume their legal team is still on haiku
Replying to @AnthropicAI
@AnthropicAI has filed a lawsuit against @Abnormal claiming we copied their brand to mislead security customers, and they are asking for “all revenues, earnings and profits”
This is obviously not true. They don’t own every A/slash design in AI cybersecurity, and they don’t get to turn a logo dispute into a claim on Abnormal’s entire business.
It would be easier to concede quietly. But Abnormal was built on trust, innovation, and intellectual honesty. Values are what you do when tested (especially when inconvenient)
Our behavioral security platform and our AI models are ours. Everything meaningful about Abnormal was built the hard way: the technology, the customer relationships, and the trust. We earned that trust by protecting customers, and we will defend it.
My blog post about it (link below):
Abhijit Bagri retweeted
.@AnthropicAI has filed a lawsuit against @Abnormal
claiming we copied their brand to mislead security customers, and they are asking for “all revenues, earnings and profits”
This is obviously not true. They don’t own every A/slash design in AI cybersecurity, and they don’t get to turn a logo dispute into a claim on Abnormal’s entire business.
It would be easier to concede quietly. But Abnormal was built on trust, innovation, and intellectual honesty.
Values are what you do when tested (especially when inconvenient) Our behavioral security platform and our AI models are ours.
Everything meaningful about Abnormal was built the hard way: the technology, the customer relationships, and the trust. We earned that trust by protecting customers, and we will defend it.
My blog post about it (link below):
Abhijit Bagri retweeted
I’m proud to share that @abnormalai was once again named to the 2026 Cyber 60, presented by @FortuneMagazine , @lightspeedvp , and @AWSstartups!
This is Abnormal's third consecutive year among the most innovative companies in cybersecurity. This recognition highlights how our behavioral AI approach is solving real, mission-critical problems for security leaders and their teams.
Thank you to our customers, partners, and employees who make achievements like this possible!
Abhijit Bagri retweeted
We’re honored to be named to the @Forbes 2025 Cloud 100, ranking No. 19 among the world’s top private cloud companies—up from No. 46 last year!
Our third consecutive year on the list underscores how Abnormal AI is reshaping the future of security.
abnormal.ai/about/news/abnor…
Abhijit Bagri retweeted
It's 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention.
E.g. 99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them. In 2025 the docs should be a single your_project.md text file that is intended to go into the context window of an LLM.
Repeat for everything.
Abhijit Bagri retweeted
Abnormal Security is continuing to reach new heights 🚀 as we announce today the close of our $250M Series D. Led by @Wellington_Mgmt, plus @GreylockVC, @MenloVentures, @insightpartners and @CrowdStrike Falcon Fund, Abnormal is now valued at $5.1B. bit.ly/3WHTuAy
Abhijit Bagri retweeted
Today marks a major milestone in Abnormal history as we surpass $100M in ARR, making us the world’s second-fastest growing cybersecurity company, and expand our leadership team with Michael DeCesare as President and Maya Marcus as Chief People Officer. bit.ly/3KH81Y1
Abhijit Bagri retweeted
Abnormal has bee included in the Forbes 2023 #Cloud100 list of the world’s best private cloud computing companies!
We are thrilled to be recognized as one of several companies on the list that are transforming the AI sector. bit.ly/442342L
Abhijit Bagri retweeted
Thank you @Forbes for hosting me at the at the annual Forbes CIO summit! I shared the trends we are seeing with AI, cybersecurity and #1 cyber crime: Business email compromise
"People put a lot of inherent trust into digital identities."
@evanreiser, Cofounder & CEO, Abnormal Security, discussed cybersecurity at the #ForbesCIO Summit. trib.al/7jjFslT
Abhijit Bagri retweeted
Excited to announce a joint partnership between Abnormal Security and @CrowdStrike. CRWD is investing in @AbnormalSec and today we are launching new bi-directional product integration that enables joint detection and response across our two platforms!
abnormalsecurity.com/partner…
Abhijit Bagri retweeted
The @WSJCyber says email is taking center stage, and we couldn't agree more. Our new round of funding will help us protect you from the most dangerous attacks. #funding #emailsecurity
wsj.com/articles/abnormal-se…
Exciting news!! Onward with using AI to stop cybercrime!!
Today we are announcing a $200M+ series C investment to further invest in Abnormal’s AI technologies and to expand our cloud email security platform.
This investment will help us better protect our customers and advance our joint mission to fight crime.
wsj.com/articles/abnormal-se…



















