Log inSign up
Starseer AI
118 posts
user avatar
Starseer AI
@StarseerAI
Interpretable AI for Measurable Security
starseer.ai
Joined March 2025
31
Following
85
Followers

New to X?

Sign up now to get your own personalized timeline!

Create account

By signing up, you agree to the Terms of Service and Privacy Policy, including Cookie Use.

Terms·Privacy·Cookies·Accessibility·Ads Info·© 2026 X Corp.
Don't miss what's happening
People on X are the first to know.
Log inSign up
  • user avatar
    Starseer AI
    @StarseerAI
    23h
    A skill is someone else's code and prompts running inside your agent. Attackers have figured that out, and malicious skills are already turning up in public skill directories. New research from Starseer Labs takes both sides. First we build malicious agent skills from the
    25
  • user avatar
    Starseer AI
    @StarseerAI
    Jul 2
    Your AI gateway routes the traffic, meters the cost, and scans the prompt. It never sees the model. That's the gap the hype skips. A gateway reads the request. A classifier reads the text. Neither reads what the model is actually doing, which is exactly where backdoors and
    The AI Gateway Is a Control Point, Not a Security Layer
    From starseer.ai
    12
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 30
    June AI budget check-in: → Uber blew its 2026 budget by April → Microsoft is cutting internal Claude Code → Walmart capped its own agent's tokens You can't fix a routing problem with a billing policy. That's what Starseer's intelligent gateway can help with.
    A $7 Million Problem: Why Every AI Request Needs an Intelligent Router
    From starseer.ai
    30
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 29
    8 questions. 4 minutes. No email wall. We turned IBM's 2025 breach data into a diagnostic that scores your AI security posture and surfaces your top 3 gaps. na2.hubs.ly/H06lrV_0
    11
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 26
    "Your AI guardrails have a blind spot." Here's the uncomfortable truth about how most organizations secure AI today: They watch the inputs. They watch the outputs. And they call it security. Input filters catch prompt injections. Output monitors flag toxic content. Guardrails
    25
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 22
    You're running 7 billion parameters to do what 3 layers can handle. That's the finding from our latest research at Starseer. We used interpretability signals to look inside neural networks and identify exactly which layers, neurons, and activation patterns drive specific
    Stop Running Entire Models When You Only Need a Few Layers
    From starseer.ai
    27
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 21
    Every model you add to cut cost or hedge a provider is another endpoint. Most run unmonitored. Your EDR instruments the operating system. It does not see what a model decided, or why. That gap is where AI incidents start, and where they hide. A model can produce normal-looking
    Guardrails Without Sight: What the Fable 5 Suspension Means for Vendors Building AI Defenses
    From starseer.ai
    25
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 19
    Frontier model costs are climbing, and the bill is bigger than the invoice. As prices rise, teams spread across more providers, add cheaper models, and run open-weight models in-house. The spend flattens. The blind spots multiply. You now depend on more models, from more
    Your Frontier Provider Is Quietly Limiting Your Capability & Research
    From starseer.ai
    14
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 16
    Anthropic shipped its most capable public model on June 9. A government directive pulled it worldwide on June 12. Three days. If your security product depends on one provider's top model, your roadmap isn't yours. Here's what the Fable 5 suspension means for vendors building
    68
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 8
    For the first time in 19 years, vulnerability exploitation is the #1 breach entry point. Not credentials. Not phishing. Software flaws, hit within hours of disclosure because AI compressed the attack timeline. The 2026 Verizon DBIR analyzed 22,000+ breaches across 145 countries.
    The 2026 Verizon DBIR Closed the Window. Your AI Endpoints Are Still Open.
    From starseer.ai
    23K
  • user avatar
    Starseer AI
    @StarseerAI
    Jun 1
    Your EDR sees a node process making API calls. The process tree ends there. The prompts, model invocations, security evaluations, policy decisions: all invisible. Prompt lineage is the process tree for AI. Every request, model call, and policy decision in a single trace from
    Prompt Lineage: The Process Tree for the AI Era
    From starseer.ai
    59
  • user avatar
    Starseer AI
    @StarseerAI
    May 22
    We beat full fine-tuning with 31% fewer layers. On GSM8K math reasoning, full LoRA across all 32 layers of Llama-3.1-8B produced: → 59.2% exact match → 34.8% answer found Starseer's combined interpretability signal, using 22 layers: → 60.7% exact match (+103%) → 58.6%
    47
  • user avatar
    Starseer AI
    @StarseerAI
    May 19
    3 layers. 17 models. 7 architectures. 85%+ accuracy. We tested jailbreak detection using just 3 layers selected by activation patterns, across every major open-source model family: Mistral, Llama, Qwen, Olmo, and others. Models ranged from 0.5B to 32B parameters. The accuracy
    113